Introduction
Kidney Replacement Therapy (KRT), which includes haemodialysis (HD) and peritoneal dialysis, is the cornerstone of treatment for kidney failure worldwide, providing life-sustaining support for both acute and chronic kidney conditions [ 1 ]. In sub-Saharan Africa, and specifically in Ethiopia, HD remains the primary KRT modality due to limited access to kidney transplants [ 2 ]. KRT serves two distinct purposes depending on the underlying condition: in acute kidney injury (AKI), it temporarily supports kidney function until recovery [ 3 ], whereas in chronic kidney disease (CKD), it provides long-term management to slow disease progression and alleviate symptoms [ 4 , 5 ].
KRT is essential in cases of kidney function decline, often arising from advanced CKD or severe, unresolvable AKI. Although data on CKD prevalence in Ethiopia are limited, existing studies indicate that kidney disease is a significant public health issue. A study conducted in a government hospital in Addis Ababa reported a CKD prevalence of 12.2%, with an increasing trend attributed to rising rates of diabetes and hypertension [ 6 ]. Whereas, AKI is another critical condition that can lead to kidney failure. Research in Ethiopia has shown varying mortality rates among individuals with AKI, ranging from 12.8 to 33.8% [ 7 – 9 ].
In Ethiopia, HD is the only available KRT option, and the number of HD units remains limited, with significant disparities in accessibility and service quality across facilities [ 10 ]. As of September 2021, there were 35 HD units in the country. Eleven of these units are subsidized by the federal or local governments and are located in government-run hospitals, while the rest are privately owned for-profit centers. Additionally, four units are standalone facilities, while the remaining 31 are situated in hospitals or clinics. These centers can accommodate 10 to 250 patients, with a median capacity of 22. Approximately 1132 patients were receiving HD treatment at the time of the survey, indicating a prevalence of about ten HD patients per million people [ 11 , 12 ]. The scarcity of HD units, alongside barriers in dialysis access and limited healthcare infrastructure, contributes to poorer outcomes in Ethiopia compared to high-income settings [ 11 ].
This study aims to provide a review of the clinical characteristics and outcomes of patients undergoing HD at Jimma Medical Center (JMC) over seven years period. The findings will improve renal care in Ethiopia and similar settings, ultimately enhancing the quality of life and survival rates of patients with kidney failure.
Methods
Study design and setting
A retrospective cross-sectional study was conducted from April 8 to 12, 2024, involving patients who underwent hemodialysis at Jimma Medical Center (JMC) between June 2017 and March 2024. The center, located at Jimma University in Jimma town, southwest Ethiopia, is approximately 352 km from the capital city, Addis Ababa, and serves a population of over 20 million in the region. The HD unit at JMC was established in June 2017 and is staffed by one nephrologist and four nurses. It is equipped with two dialysis machines, both utilizing low-flux membranes.
Eligibility criteria
All adult patients who had at least one session of HD at JMC from 2017 to 2024 were included in the study. Patients with missing medical records were excluded.
Outcome operational definition
Outcomes for AKI and CKD patients were analyzed independently. For AKI, ‘recovery’ was defined as either full restoration of renal function or significant improvement allowing the discontinuation of HD [ 13 ]. For CKD, outcomes were analyzed based on long-term indicators, including survival rate, hospitalization frequency, and HD continuation.
Data collection
A clinical nurse was trained to collect the data. From April 8 to 12, 2024, the data collector identified patient charts for the study using registry books from the dialysis unit and retrieved them from the medical records department. Patient medical records and dialysis charts were the sources of data collection. The data collection tools included socio-demographic characteristics (such as age, sex, and source of funds), patient clinical characteristics (such as nausea and vomiting, shortness of breath, body swelling, oliguria, gross haematuria, haematuria, and blood pressure measurement), and laboratory features (such as serum creatinine, serum sodium, serum potassium, serum urea, hemoglobin, and proteinuria). Additionally, the indication for dialysis, the type of vascular access for HD initiation, the type of vascular access in patients on maintenance HD, frequency and duration of HD sessions, length of stay in the HD unit, and patient outcomes were recorded.
Data processing and analysis
After checking data quality, the data were coded and entered into EpiData version 3.1 and then exported to the Statistical Package for Social Science (SPSS) version 26.0 for further analysis. Normality tests were conducted using visual inspections of histograms and Q-Q plots, as well as the Kolmogorov-Smirnov and Shapiro-Wilk tests. Descriptive statistics were used to summarize the characteristics of the study variables. Categorical variables were presented as frequencies and percentages, while continuous variables were described using mean and standard deviation (SD) or median and interquartile range (IQR). The comparison of continuous variables was conducted using the Student’s t-test for variables with a normal distribution (SBP, DBP, serum creatinine and serum sodium) and the Mann-Whitney U test for non-normally distributed variables (serum potassium, serum urea and hemoglobin). The Fisher exact test was used for categorical variables. Additionally, Kaplan-Meier curves were used to evaluate survival status of patients with CKD during their hospital stay. A p -value of less than 0.05 was considered statistically significant.
Result
A total of 80 patients underwent HD over the 7-year period from June 2017 to March 2024 at JMC. Based on the inclusion criteria, which excluded patients with missing medical records, 68 (85%) of these patients were included in the study.
Socio-demographic characteristics of the patients
The overall mean age was 42.7 years (± 12.78), ranging from 18 to 85 years, with a mean age of 39 years (± 14) for AKI patients and 45 years (± 12) for CKD patients. Among patients aged 50 years or younger, the majority had CKD (62.7%). Most of the patients in this study were male ( n = 47), with CKD patients comprising the majority (70.2%) (Table 1 ).
Table 1 Socio-demographic characteristics of the patients Variables CKD ( n = 47) AKI ( n = 21) Age in years ≤ 50 32(62.7) 19(37.3) > 50 15(88.2) 2(11.8) Sex Male 33(70.2) 14(29.8) Female 14(66.7) 7(33.3) Source of fund Self-funded 47(74.6) 16(25.4) Sponsored by the institution 0 5(100) CKD: Chronic kidney disease; AKI: Acute kidney disease
Table 1
Socio-demographic characteristics of the patients
CKD: Chronic kidney disease; AKI: Acute kidney disease
| Variables | CKD ( n = 47) | AKI ( n = 21) |
| Age in years | ||
| ≤ 50 | 32(62.7) | 19(37.3) |
| > 50 | 15(88.2) | 2(11.8) |
| Sex | ||
| Male | 33(70.2) | 14(29.8) |
| Female | 14(66.7) | 7(33.3) |
| Source of fund | ||
| Self-funded | 47(74.6) | 16(25.4) |
| Sponsored by the institution | 0 | 5(100) |
Clinical and biochemical features at presentation
At presentation, 21 [30.9% (95% CI: 20.9–42.5%)] patients had AKI, 47 [69.1% (95% CI: 57.5–79.1%)] had CKD. Among CKD patients, the most common clinical features were nausea and vomiting (100%), dipstick proteinuria (95.7%), and body swelling (82.9%). In AKI patients, the most common features were oliguria (100%), nausea and vomiting (90.5%), and dipstick proteinuria (80.9%). The median hemoglobin level at presentation was higher among patients with AKI, at 9 g/dl (IQR: 6–10), compared to patients with CKD, who had a median hemoglobin level of 7 g/dl (IQR: 6–9), ( p -value = 0.089). Notably, oliguria, gross hematuria, and dipstick hematuria at presentation were significantly more common clinical features in AKI than in CKD ( p = 0.002, 0.001, 0.028, respectively). Additionally, systolic and diastolic blood pressures at presentation were significantly higher in CKD patients compared to AKI patients. Although no significant association was observed, the biochemical features of patients with CKD and AKI showed no notable differences (Table 2 ).
Table 2 Baseline clinical and biochemical features of patients with CKD and AKI ( N = 68) Baseline characteristics CKD, n (%) AKI, n (%) p -value 47(69.1) 21(30.9) Clinical features Nausea and vomiting † 47 (100%) 19(90.5%) 0.092 Shortness of breath † 34(72.3%) 15(71.4%) 0.578 Body swelling † 39(83%) 14(66.7%) 0.220 Oliguria † 32(68.1%) 21(100%) 0.002* Gross hematuria † 6(12.8%) 11(52.4%) 0.001* Dipstick hematuria † 18(38.3%) 14(66.7%) 0.028* Systolic blood pressure (mmHg) ¶ 160 ± 21 136 ± 40 0.002* Diastolic blood pressure (mmHg) ¶ 93 ± 13 82 ± 24 0.014* Laboratory Serum creatinine (mg/dl) ¶ 11.023 ± 4.26 10.26 ± 5.44 0.647 Serum sodium (mmol/l) ¶ 135.98 ± 5.66 136.29 ± 5.22 0.968 Serum potassium (mmol/l) # 6(5–6) 6(4–6) 0.266 Serum urea (mg/dl) # 164(117–210) 170(148–250) 0.403 Hemoglobin (g/dl) # 7(6–9) 9(6–10) 0.089 Dipstick proteinuria † 45(95.7%) 17(80.9%) 0.126 CKD: Chronic kidney disease; AKI: Acute kidney disease; mmHg: Millimetre of mercury; mmol: Millimole; mg: Milligram; dl: Decilitre; g: Gram; † presented in frequency with percentage and Fisher’s Exact Test was used; ¶ presented in mean (SD) and Student’s t-test was used, # presented in median (IQR) and Mann-Whitney test was used; * p -value: significant ( p -value < 0.05)
Table 2
Baseline clinical and biochemical features of patients with CKD and AKI ( N = 68)
CKD: Chronic kidney disease; AKI: Acute kidney disease; mmHg: Millimetre of mercury; mmol: Millimole; mg: Milligram; dl: Decilitre; g: Gram; † presented in frequency with percentage and Fisher’s Exact Test was used; ¶ presented in mean (SD) and Student’s t-test was used, # presented in median (IQR) and Mann-Whitney test was used; * p -value: significant ( p -value < 0.05)
| Baseline characteristics | CKD, n (%) | AKI, n (%) | p -value |
| 47(69.1) | 21(30.9) | ||
| Clinical features | |||
| Nausea and vomiting † | 47 (100%) | 19(90.5%) | 0.092 |
| Shortness of breath † | 34(72.3%) | 15(71.4%) | 0.578 |
| Body swelling † | 39(83%) | 14(66.7%) | 0.220 |
| Oliguria † | 32(68.1%) | 21(100%) | 0.002* |
| Gross hematuria † | 6(12.8%) | 11(52.4%) | 0.001* |
| Dipstick hematuria † | 18(38.3%) | 14(66.7%) | 0.028* |
| Systolic blood pressure (mmHg) ¶ | 160 ± 21 | 136 ± 40 | 0.002* |
| Diastolic blood pressure (mmHg) ¶ | 93 ± 13 | 82 ± 24 | 0.014* |
| Laboratory | |||
| Serum creatinine (mg/dl) ¶ | 11.023 ± 4.26 | 10.26 ± 5.44 | 0.647 |
| Serum sodium (mmol/l) ¶ | 135.98 ± 5.66 | 136.29 ± 5.22 | 0.968 |
| Serum potassium (mmol/l) # | 6(5–6) | 6(4–6) | 0.266 |
| Serum urea (mg/dl) # | 164(117–210) | 170(148–250) | 0.403 |
| Hemoglobin (g/dl) # | 7(6–9) | 9(6–10) | 0.089 |
| Dipstick proteinuria † | 45(95.7%) | 17(80.9%) | 0.126 |
Factors associated with AKI and CKD
Among the patients with AKI who underwent hemodialysis, the primary causes identified were acute glomerulonephritis (8 cases, 38.1%) and severe malaria (7 cases, 33.3%), both of which demonstrated a significant association ( p < 0.001). Additionally, pregnancy-related disorders accounted for 5 cases (23.8%) and also exhibited a significant association ( p = 0.002). In contrast, hypertensive emergencies, comprising only 1 case (4.8%), did not reach statistical significance ( p = 0.309) (Table 3 ).
Table 3 Etiology of AKI for patients admitted for HD at JMC, 2024 Identified probable causes Frequency (%) Chi-square P -value Acute glomerulonephritis 8(38.1) 17.464 < 0.001* Severe malaria 7(10.3) 17.461 < 0.001* Pregnancy related disorder 5(23.8) 12.079 0.002* Hypertensive emergency 1(4.8) 2.271 0.309 Fisher’s Exact Test was used with* p -value: significant ( p -value < 0.05)
Table 3
Etiology of AKI for patients admitted for HD at JMC, 2024
Fisher’s Exact Test was used with* p -value: significant ( p -value < 0.05)
| Identified probable causes | Frequency (%) | Chi-square | P -value |
| Acute glomerulonephritis | 8(38.1) | 17.464 | < 0.001* |
| Severe malaria | 7(10.3) | 17.461 | < 0.001* |
| Pregnancy related disorder | 5(23.8) | 12.079 | 0.002* |
| Hypertensive emergency | 1(4.8) | 2.271 | 0.309 |
Among patients with CKD who underwent hemodialysis, the leading cause was hypertensive nephropathy, identified in 40.4% of cases, which showed a significant association ( p < 0.001). Chronic glomerulonephritis was the second most common cause at 27.7%, also demonstrating statistical significance ( p = 0.006). Diabetic nephropathy was identified in 14.9% of cases but did not reach significance ( p = 0.09) (Table 4 ).
Table 4 Etiology of CKD for patients admitted for HD at JMC, 2024 Identified probable causes Frequency (%) Chi-square P -value HTN nephropathy 19(40.4) 11.781 < 0.001* Chronic glomerulonephritis 13(27.7) 7.181 0.006* Diabetic nephropathy 7(14.9) 3.487 0.09 ADPKD 2(4.3) 0.921 0.992 Multiple Myeloma 1(2.1) 0.453 0.899 unknown cause 5(10.6) 2.411 0.314 ADPKD: Autosomal dominant polycystic kidney disease; Fisher’s Exact Test was used with* p -value: significant ( p -value < 0.05)
Table 4
Etiology of CKD for patients admitted for HD at JMC, 2024
ADPKD: Autosomal dominant polycystic kidney disease; Fisher’s Exact Test was used with* p -value: significant ( p -value < 0.05)
| Identified probable causes | Frequency (%) | Chi-square | P -value |
| HTN nephropathy | 19(40.4) | 11.781 | < 0.001* |
| Chronic glomerulonephritis | 13(27.7) | 7.181 | 0.006* |
| Diabetic nephropathy | 7(14.9) | 3.487 | 0.09 |
| ADPKD | 2(4.3) | 0.921 | 0.992 |
| Multiple Myeloma | 1(2.1) | 0.453 | 0.899 |
| unknown cause | 5(10.6) | 2.411 | 0.314 |
Vascular access and treatment-related characteristics
All AKI patients and the majority of CKD patients (95.7%) required emergency vascular access, primarily through jugular venous catheters (95.7% for CKD, 95.2% for AKI). Among patients on maintenance dialysis, arteriovenous fistula (AVF) was the most common access for CKD patients (94.3%), while only 50% of AKI patients had AVF, with the other 50% relying on non-tunneled central venous catheters (CVC). In terms of hemodialysis sessions, CKD patients had a total of 6,436 sessions compared to 302 for AKI patients, with the majority of both groups undergoing two sessions per week (85.1% for CKD and 76.2% for AKI). Erythropoietin and intravenous iron replacement therapy were used in 27.7% of CKD patients but were not utilized in any AKI patients. The primary indications for hemodialysis were similar between the two groups, with uremic encephalopathy being the most common (66% for CKD and 66.7% for AKI), followed by refractory pulmonary edema (29.8% for CKD and 23.8% for AKI) (Table 5 ).
Table 5 Vascular access and treatment-related characteristics Variables CKD ( n = 47) AKI, ( n = 21) Timing during initial vascular access Emergency 45 (95.7) 21(100) Non-emergency 2(4.3) 0 Line of access Jugular venous catheter 45(95.7) 20(95.2) Femoral vein catheter 2(4.3) 1(4.8) Line on maintenance ( n = 41) AVF 33(94.3) 3(50) Tunneled CVC 2(5.7) 0 Non-Tunneled CVC 0 3(50) HD sessions 6436 302 Frequency per week One 1(2.1) 1(4.8) Two 40(85.1) 16(76.2) Three 6(12.8) 4(19) Duration of individual dialysis sessions in hours Two 7(14.9) 16(76.2) Three 1(2.1) 0 Four 39(83) 5(23.8) Erythropoietin and IV iron replacement therapy Yes 13(27.7) 0 No 34(72.3) 21(100) Indications for HD Uremic encephalopathy 31(66) 14(66.7) Refractory pulmonary edema 14(29.8) 5(23.8) Uncontrolled hyperkalemia 0 1(4.8) Uremic pericarditis 2(4.3) 0 Uremic bleeding 0 1(4.8) CKD: Chronic kidney disease; AKI: Acute kidney disease; AVF: Arteriovenous fistula; CVC: Central venous catheter; CKD: Chronic kidney disease; AKI: Acute kidney disease; HD: Haemodialysis; IV: Intravenous
Table 5
Vascular access and treatment-related characteristics
CKD: Chronic kidney disease; AKI: Acute kidney disease; AVF: Arteriovenous fistula; CVC: Central venous catheter; CKD: Chronic kidney disease; AKI: Acute kidney disease; HD: Haemodialysis; IV: Intravenous
| Variables | CKD ( n = 47) | AKI, ( n = 21) |
| Timing during initial vascular access | ||
| Emergency | 45 (95.7) | 21(100) |
| Non-emergency | 2(4.3) | 0 |
| Line of access | ||
| Jugular venous catheter | 45(95.7) | 20(95.2) |
| Femoral vein catheter | 2(4.3) | 1(4.8) |
| Line on maintenance ( n = 41) | ||
| AVF | 33(94.3) | 3(50) |
| Tunneled CVC | 2(5.7) | 0 |
| Non-Tunneled CVC | 0 | 3(50) |
| HD sessions | 6436 | 302 |
| Frequency per week | ||
| One | 1(2.1) | 1(4.8) |
| Two | 40(85.1) | 16(76.2) |
| Three | 6(12.8) | 4(19) |
| Duration of individual dialysis sessions in hours | ||
| Two | 7(14.9) | 16(76.2) |
| Three | 1(2.1) | 0 |
| Four | 39(83) | 5(23.8) |
| Erythropoietin and IV iron replacement therapy | ||
| Yes | 13(27.7) | 0 |
| No | 34(72.3) | 21(100) |
| Indications for HD | ||
| Uremic encephalopathy | 31(66) | 14(66.7) |
| Refractory pulmonary edema | 14(29.8) | 5(23.8) |
| Uncontrolled hyperkalemia | 0 | 1(4.8) |
| Uremic pericarditis | 2(4.3) | 0 |
| Uremic bleeding | 0 | 1(4.8) |
Outcome profile
Among the 29 patients who died (42.6%), mortality rates were 47.6% (95% CI: 27.7–68.6%) for AKI patients and 40.4% (95% CI: 27.3–54.7%) for CKD patients. Of the AKI group, 47.6% achieved recovery as defined by renal function improvement to a level that permitted HD discontinuation. In contrast, CKD outcomes were characterized by prolonged HD dependency, with 36.2% of CKD patients continuing maintenance HD (Table 6 ).
Table 6 Outcome profile of patients who underwent HD Outcome profile CKD ( n = 47) AKI ( n = 21) Recovery and discharge (14.7%, n = 10) 0 10(47.6) Death (42.6%, n = 29) 19(40.4) 10(47.6) Lost follow up (13.2%, n = 9) 8(17) 1(4.8) Referral for renal transplant (4.4%, n = 3) 3(6.4) 0 On maintenance HD (25%, n = 17) 17(36.2) 0 HD: Haemodialysis; CKD: Chronic kidney disease; AKI: Acute kidney disease
Table 6
Outcome profile of patients who underwent HD
HD: Haemodialysis; CKD: Chronic kidney disease; AKI: Acute kidney disease
| Outcome profile | CKD ( n = 47) | AKI ( n = 21) |
| Recovery and discharge (14.7%, n = 10) | 0 | 10(47.6) |
| Death (42.6%, n = 29) | 19(40.4) | 10(47.6) |
| Lost follow up (13.2%, n = 9) | 8(17) | 1(4.8) |
| Referral for renal transplant (4.4%, n = 3) | 3(6.4) | 0 |
| On maintenance HD (25%, n = 17) | 17(36.2) | 0 |
Survival status of patients with CKD
The Kaplan-Meier survival analysis for CKD patients revealed a median survival time of 43 months (95% CI: 21.243–64.757). At 6 months, the survival rate was 100%; however, this decreased to 65.4% by 12 months. By 60 months, 32.7% of CKD patients remained alive, despite a significant decline in survival after the 12-month mark (Fig. 1 ).
Fig. 1 Kaplan–Meier curves displaying the estimated survival time of patients with CKD who underwent HD at JMC from June 2017 to March 2024

Discussion
In this institution-based cross-sectional study, we evaluated the clinical characteristics and outcomes of patients undergoing HD at JMC over a seven-year period. Of the 68 patients who underwent HD in the study, 29 (42.6%) died.
The findings of this study underscore the significant burden of CKD among patients requiring HD, with 69.1% (95% CI: 57.5–79.1%) of the study population presenting with CKD at the time of HD initiation, while 30.9% (95% CI: 20.9–42.5%) had AKI. These results aligned with existing literature on the prevalence of these conditions in HD populations. The high prevalence of CKD among HD patients is consistent with studies conducted in both low- and middle-income countries (LMICs) [ 14 – 16 ] and high-income countries (HICs) [ 17 – 19 ], where CKD frequently accounts for the majority of cases requiring dialysis. The substantial percentage of AKI patients requiring dialysis in our cohort likely reflects delayed presentation to nephrologists, which can be attributed to late referrals and health-seeking behaviors. This finding underscores the importance of early detection and timely intervention to reduce the need for dialysis in AKI cases.
Our study indicated that oliguria, gross hematuria, and dipstick hematuria were significantly more prevalent in patients with AKI compared to those with CKD. This finding aligns with existing literature that emphasizes the acute nature of AKI, where oliguria is a common symptom due to the kidneys’ sudden inability to filter waste effectively [ 20 – 22 ]. Hematuria is also frequently observed in AKI, especially in cases of acute glomerulonephritis, which can lead to rapid kidney dysfunction [ 23 , 24 ]. In contrast, the significantly higher mean systolic [160mmHg (95% CI: 154–166), (± 21)] and diastolic blood pressures [93mmHg (95% CI: 89–97), (± 13)] observed in CKD patients at presentation reflect a different pathophysiological profile. This is consistent with other studies, suggesting CKD patients often present with hypertension, a significant risk factor for cardiovascular events and further renal deterioration [ 25 , 26 ]. In this study, the average hemoglobin level was 7.82 ± 1.99 g/dL, which is far below the recommended target of 11.5–12.5 g/dL [ 27 ]. Our findings are consistent with those of a multicenter international cohort study from Brazil, France, Germany, Japan, and the USA, which reported that anemia as a major complication of kidney failure [ 27 ]. This is why the majority of the patients in our study, 57 (83.8%), received blood transfusions at some point.
In our study, hypertensive nephropathy was identified as the most frequently presumed cause of CKD among patients undergoing HD, accounting for 40.4% of cases. This finding is consistent with existing literature suggesting that hypertension is a leading cause of CKD, especially in resource-limited settings where early detection and management of hypertension may be inadequate [ 28 – 30 ]. Despite a relatively young mean age of 42.7 years (± 12.78) among the patient cohort, with CKD patients averaging 45 years (± 12), hypertension remains a significant etiological factor, possibly due to the high prevalence of undiagnosed or poorly managed hypertension in the population.
The lower prevalence of diabetes-related CKD compared to hypertensive nephropathy and glomerulonephritis may reflect differences in local disease burden, healthcare access, and diagnostic practices. Additionally, the late presentation of patients for HD and limited diagnostic capabilities in our setting might contribute to a diagnostic bias toward more overtly symptomatic conditions, such as hypertension-related kidney disease. These factors likely influence the observed CKD distribution and emphasize the importance of improved hypertension screening and early intervention strategies in younger populations to prevent CKD progression.
For AKI cases, our study identified AGN and severe malaria as the predominant causes, accounting for 38.1% and 33.3%, respectively. These findings align with existing literature, which indicates that AKI can occur in up to 40% of patients with severe Plasmodium falciparum malaria, underscoring the critical nature of this complication in malaria-endemic regions [ 31 , 32 ]. The pathophysiology of malaria-related AKI often involves hemodynamic instability, hemolysis, and direct renal injury from the parasite [ 32 ]. Additionally, while AGN is less common than acute tubular necrosis in AKI cases, it remains significant, particularly in specific populations, where immune-mediated processes and infections may trigger inflammatory responses leading to glomerular damage [ 33 ]. The absence of acute tubular necrosis ATN as a documented cause requiring HD in our cohort, despite ATN being a common form of AKI, reflects the prioritization of care for the most critically ill patients. In our setting, priority for HD was given to patients with severe Plasmodium falciparum malaria during outbreaks and those with glomerulonephritis who were anuric and presented with complications such as pulmonary edema. Therefore, while cases of ATN were present, they were not prioritized for HD, influencing the distribution of AKI etiologies observed in our study.
The study also sheds light on vascular access and treatment-related characteristics, revealing that All AKI patients and the majority of CKD patients (95.7%) required emergency vascular access. This finding underscores the urgent need for initiating HD due to advanced uremic symptoms, a factor that can significantly influence patient survival. This is consistent with the study by Parameswaran et al. (2011), which highlighted the impact of initial vascular access on HD outcomes [ 34 ]. In our study, three patients with AKI received AVFs for hemodialysis access. This decision was made due to initially uncertain prognoses, where prolonged dialysis support was anticipated. AVF placement, while typically reserved for patients requiring long-term dialysis, was selected as a more durable option over CVCs to support these patients’ potential need for extended dialysis [ 35 , 36 ]. However, each of these patients subsequently showed renal recovery, allowing discontinuation of dialysis [ 37 ]. This outcome underscores the challenges in predicting recovery trajectories in certain AKI cases, where a more permanent vascular access may be required if recovery is uncertain.
In our study, 80.5% of chronic HD patients were only able to undergo dialysis twice a week due to financial constraints. This is considerably below the international guidelines, which recommend at least three HD sessions per week [ 38 ]. Consequently, the majority of CKD patients received insufficient dialysis, potentially leading to multiple adverse health outcomes.
In this study, erythropoietin and intravenous iron replacement therapy were administered to 27.7% of CKD patients, while no AKI patients received these treatments and instead were on oral iron supplementation. The approval of recombinant human erythropoietin (rHuEPO, also known as epoetin) in 1989 marked a significant advancement in treating anemia in CKD patients. Before its introduction, dialysis patients typically had hemoglobin levels averaging 7–8 g/dl, but now, on average, those levels have risen to 11–12 g/dl [ 39 ]. This observation suggests that patients with CKD often present late in the course of their illness, exhibiting severe uremic symptoms, poor blood pressure control, and moderate to severe anemia. These factors can have a major impact on survival. Hyperkalemia was observed in 53.8% of patients with AKI and 59.6% of those with CKD. In a notable observational study by Kovesdy et al. (2007), it was found that even after adjusting for potential confounding factors, hyperkalemia was linked to increased all-cause and cardiovascular mortality among patients undergoing maintenance HD [ 40 ].
A total of 29 patients [42.6% (95% CI: 31.4–54.5%)] in our study cohort died, with mortality rates of 47.6% (95% CI: 27.7–68.6%) in patients with AKI and 40.4% (95% CI: 27.3–54.7%) in those with CKD. Although the AKI group showed a slightly higher mortality rate, the overlapping confidence intervals suggest that this difference may not be statistically significant. Nevertheless, these mortality rates underscore the critical risks faced by patients with both AKI and CKD undergoing dialysis. Our findings align with existing literature, which generally indicates a high mortality risk for AKI patients, especially within the initial months of dialysis initiation. For instance, a study using the US Renal Data System found that kidney failure due to AKI was associated with an increased mortality risk within the first six months following dialysis initiation [ 41 ]. A large recent cohort study also reported a 23% mortality rate in AKI-related cases [ 42 ]. The notably overall high mortality rate observed in our setting may reflect unique regional challenges, including frequent service interruptions, insufficient technical support for dialysis equipment, shortages of essential supplies, and patient drop-out due to unaffordable treatment costs. Additionally, high rates of vascular access infections and limited access to necessary adjunctive treatments such as iron and erythropoietin further compound these risks. Addressing these barriers is essential to improving patient outcomes and reducing mortality in both AKI and CKD patients in similar low-resource settings.
The Kaplan-Meier survival analysis for CKD patients revealed a median survival time of 43 months (95% CI: 21.243–64.757). At 6 months, the survival rate was 100%; however, this decreased to 65.4% by 12 months, and by 60 months, only 32.7% of CKD patients remained alive. These findings are consistent with other studies that have reported significant declines in survival rates among CKD patients over time. For instance, a study conducted in Ethiopia found a mean survival time of 46.2 months for hemodialysis patients, with survival probabilities of 91% at one year and 65% at five years, indicating similar trends in mortality as observed in our cohort [ 7 ]. Additionally, research has shown that patients with advanced CKD often experience rapid declines in health status and increased mortality due to complications such as cardiovascular disease and infections, which are prevalent in this population [ 43 , 44 ]. The marked decrease in survival after the first year in our study may reflect these underlying health challenges and the need for comprehensive management strategies to improve outcomes for CKD patients on dialysis [ 45 ].
Strength and limitation
The strengths of this study include detailed data collected over seven years, providing valuable insights into patient trends and outcomes in the HD unit at JMC. By analyzing socio-demographic, clinical, and biochemical characteristics of CKD and AKI patients, the study highlights specific needs and challenges within the HD unit. These findings emphasize the need for improved HD resources and management strategies and offer directions to address and overcome poor prognosis in HD patients.
However, the study also has limitations. The single-center design restricts the generalizability of the findings to other settings. The retrospective nature of the study introduces potential biases due to reliance on historical data. Additionally, the small sample size may impact statistical power and generalizability, while excluding patients with incomplete data could lead to skewed results, affecting the overall understanding of patient outcomes in the HD unit. This study primarily reviews HD-related outcomes and acknowledges that AKI and CKD have differing prognostic factors, which limits the ability to analyze long-term CKD-specific complications, such as cardiovascular outcomes and catheter infections, in the current dataset.
Conclusion
This seven-year review of HD patients at JMC highlights the significant burden of CKD and AKI among patients undergoing hemodialysis, with notable differences in clinical presentations and outcomes. CKD patients, primarily male and younger, commonly experienced symptoms such as nausea, vomiting, proteinuria, and elevated blood pressure, while AKI patients presented with oliguria and hematuria. Hypertensive nephropathy was identified as the most common cause of CKD among the studied population, while acute glomerulonephritis was the predominant cause observed in AKI cases. Both groups largely required emergency vascular access, though AKI patients faced a higher mortality compared to those with CKD. Despite CKD patients having a long median survival time, their survival dropped significantly within the first year. These findings emphasize the need for early intervention, improved access to medications such as erythropoietin, and addressing resource limitations to enhance treatment outcomes for both CKD and AKI patients.
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Sisay Tagese Tafese and Eyob Girma Abera contributed equally to this work.
Acknowledgements
We would like to express our appreciation to the dedicated data collectors for their unwavering support, from the initial training sessions to the final submission of the manuscript. Their efforts have been instrumental in the success of this research endeavor.
Author contributions
Conceptualization: STT, MBW; Writing – original draft: STT, EGA; Statistical analysis: STT, EGA; Data curation: STT, MDM; Supervision: MBW; Writing – review & editing: STT, EGA, MDM, MBW; Validation: STT, EGA, MDM, MBW. All authors agreed to bear responsibility for all parts of the research work and approved the final version of the manuscript.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Data availability
All relevant data are within the manuscript.
Declarations
Ethics approval and consent to participate
Ethical clearance was obtained from the Ethical Review Board of Jimma University Institute of Health, with letter number JUIH/IRB/037/24. The confidentiality of the patients was maintained throughout the study period, and only the principal investigator, supervisor, and data collectors had access to the patients’ information. All information obtained from the patient data was kept confidential and was used for research purposes only.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
References
1. Thurlow JS Joshi M Yan G Norris KC Agodoa LY Yuan CM Global epidemiology of end-stage kidney disease and disparities in kidney replacement therapy Am J Nephrol 2021 52 2 98 107 10.1159/000514550 33752206 PMC8057343 Thurlow JS, Joshi M, Yan G, Norris KC, Agodoa LY, Yuan CM, et al. Global epidemiology of end-stage kidney disease and disparities in kidney replacement therapy. Am J Nephrol. 2021;52(2):98–107. 33752206 10.1159/000514550 PMC8057343
2. Naicker S End-stage renal disease in Sub-saharan Africa Kidney Int Suppl 2013 3 2 161 3 10.1038/kisup.2013.4 12864889 Naicker S. End-stage renal disease in Sub-saharan Africa. Kidney Int Suppl. 2013;3(2):161–3. 10.1046/j.1523-1755.63.s83.25.x 12864889
3. Chiu P-F Lin P-R Tsai C-C Hsieh Y-P The impact of acute kidney injury with or without recovery on long-term kidney outcome in patients undergoing living liver transplantation Nephrol Dial Transpl 2023 38 8 1817 22 10.1093/ndt/gfad005 PMC10387382 36651817 Chiu P-F, Lin P-R, Tsai C-C, Hsieh Y-P. The impact of acute kidney injury with or without recovery on long-term kidney outcome in patients undergoing living liver transplantation. Nephrol Dial Transpl. 2023;38(8):1817–22. 10.1093/ndt/gfad005 PMC10387382 36651817
4. Kazancioğlu R Risk factors for chronic kidney disease: an update Kidney Int Suppl 2013 3 4 368 71 10.1038/kisup.2013.79 PMC4089662 25019021 Kazancioğlu R. Risk factors for chronic kidney disease: an update. Kidney Int Suppl. 2013;3(4):368–71. 10.1038/kisup.2013.79 PMC4089662 25019021
5. Bundó D Cunillera O Arbiol-Roca A Cobo-Guerrero S Romano J Gil-Terron N Final stage of chronic kidney disease with conservative kidney management or renal replacement therapy: a primary-care population study J Clin Med 2023 12 14 4602 10.3390/jcm12144602 37510717 PMC10380812 Bundó D, Cunillera O, Arbiol-Roca A, Cobo-Guerrero S, Romano J, Gil-Terron N, et al. Final stage of chronic kidney disease with conservative kidney management or renal replacement therapy: a primary-care population study. J Clin Med. 2023;12(14):4602. 37510717 10.3390/jcm12144602 PMC10380812
6. Kore C Tadesse A Teshome B Daniel K Kassa A Ayalew D The magnitude of chronic kidney disease and its risk factors at Zewditu Memorial Hospital, Addis Ababa, Ethiopia J Nephrol Ther 2018 8 3 313 10.4172/2161-0959.1000313 Kore C, Tadesse A, Teshome B, Daniel K, Kassa A, Ayalew D. The magnitude of chronic kidney disease and its risk factors at Zewditu Memorial Hospital, Addis Ababa, Ethiopia. J Nephrol Ther. 2018;8(3):313.
7. Desta BZ Dadi AF Derseh BT Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers BMC Nephrol 2023 24 1 3 10.1186/s12882-022-03053-6 36600194 PMC9811754 Desta BZ, Dadi AF, Derseh BT. Mortality in hemodialysis patients in Ethiopia: a retrospective follow-up study in three centers. BMC Nephrol. 2023;24(1):3. 36600194 10.1186/s12882-022-03053-6 PMC9811754
8. Zewdu W Acute renal failure in Addis Abeba, Ethiopia: a prospective study of 136 patients Ethiop Med J 1994 32 2 79 87 8033881 Zewdu W. Acute renal failure in Addis Abeba, Ethiopia: a prospective study of 136 patients. Ethiop Med J. 1994;32(2):79–87. 8033881
9. Abebe A Kumela K Belay M Kebede B Wobie Y Mortality and predictors of acute kidney injury in adults: a hospital-based prospective observational study Sci Rep 2021 11 1 15672 10.1038/s41598-021-94946-3 34341369 PMC8329200 Abebe A, Kumela K, Belay M, Kebede B, Wobie Y. Mortality and predictors of acute kidney injury in adults: a hospital-based prospective observational study. Sci Rep. 2021;11(1):15672. 34341369 10.1038/s41598-021-94946-3 PMC8329200
10. Hendrix N, Warkaye S, Tesfaye L, Woldekidan MA, Arja A, Sato R et al. Estimated travel time and staffing constraints to accessing the Ethiopian health care system: a two-step floating catchment area analysis. J Glob Health. 2023;13. 10.7189/jogh.13.04008 PMC9880518 36701563
11. Mengistu YT Ejigu AM Global dialysis perspective Ethiopia Kidney360 2022 3 8 1431 4 10.34067/KID.0006902021 36176643 PMC9416832 Mengistu YT, Ejigu AM. Global dialysis perspective. Ethiopia Kidney360. 2022;3(8):1431–4. 36176643 10.34067/KID.0006902021 PMC9416832
12. Baye TA Gebeyehu H Bekele M Abdelmenan S Ashengo TA Mengistu B The economic burden of hemodialysis and associated factors of among patients in private and public health facilities: a cross-sectional study in Addis Ababa, Ethiopia Cost Eff Resour Alloc 2024 22 1 25 10.1186/s12962-024-00530-7 38575968 PMC10996090 Baye TA, Gebeyehu H, Bekele M, Abdelmenan S, Ashengo TA, Mengistu B. The economic burden of hemodialysis and associated factors of among patients in private and public health facilities: a cross-sectional study in Addis Ababa, Ethiopia. Cost Eff Resour Alloc. 2024;22(1):25. 38575968 10.1186/s12962-024-00530-7 PMC10996090
13. Forni LG Darmon M Ostermann M Oudemans-van Straaten HM Pettilä V Prowle JR Renal recovery after acute kidney injury Intensive Care Med 2017 43 855 66 10.1007/s00134-017-4809-x 28466146 PMC5487594 Forni LG, Darmon M, Ostermann M, Oudemans-van Straaten HM, Pettilä V, Prowle JR, et al. Renal recovery after acute kidney injury. Intensive Care Med. 2017;43:855–66. 28466146 10.1007/s00134-017-4809-x PMC5487594
14. Stanifer JW Muiru A Jafar TH Patel UD Chronic kidney disease in low-and middle-income countries Nephrol Dial Transpl 2016 31 6 868 74 10.1093/ndt/gfv466 PMC4876969 27217391 Stanifer JW, Muiru A, Jafar TH, Patel UD. Chronic kidney disease in low-and middle-income countries. Nephrol Dial Transpl. 2016;31(6):868–74. 10.1093/ndt/gfv466 PMC4876969 27217391
15. Abdu A Mahmood IM Audi KY Umar MS Clinical characteristics and outcomes of hemodialysis in a new center in Northern Nigeria Niger Med J J Niger Med Assoc 2020 61 6 340 10.4103/nmj.NMJ_148_19 PMC8040938 33888932 Abdu A, Mahmood IM, Audi KY, Umar MS. Clinical characteristics and outcomes of hemodialysis in a new center in Northern Nigeria. Niger Med J J Niger Med Assoc. 2020;61(6):340. 10.4103/nmj.NMJ_148_19 PMC8040938 33888932
16. Pande V, Kuthe SS. Chronic renal failure versus acute kidney injury: Clinico-etiologic profile and hematological parameters of patients undergoing hemodialysis in central India.
17. Rewa O Bagshaw SM Acute kidney injury—epidemiology, outcomes and economics Nat Rev Nephrol 2014 10 4 193 207 10.1038/nrneph.2013.282 24445744 Rewa O, Bagshaw SM. Acute kidney injury—epidemiology, outcomes and economics. Nat Rev Nephrol. 2014;10(4):193–207. 24445744 10.1038/nrneph.2013.282
18. Bello AK Okpechi IG Osman MA Cho Y Htay H Jha V Epidemiology of haemodialysis outcomes Nat Rev Nephrol 2022 18 6 378 95 10.1038/s41581-022-00542-7 35194215 PMC8862002 Bello AK, Okpechi IG, Osman MA, Cho Y, Htay H, Jha V, et al. Epidemiology of haemodialysis outcomes. Nat Rev Nephrol. 2022;18(6):378–95. 35194215 10.1038/s41581-022-00542-7 PMC8862002
19. Filipska A Bohdan B Wieczorek PP Hudz N Chronic kidney disease and dialysis therapy: incidence and prevalence in the world Pharmacia 2021 68 2 463 70 10.3897/pharmacia.68.e65501 Filipska A, Bohdan B, Wieczorek PP, Hudz N. Chronic kidney disease and dialysis therapy: incidence and prevalence in the world. Pharmacia. 2021;68(2):463–70.
20. Prowle JR Liu Y-L Licari E Bagshaw SM Egi M Haase M Oliguria as predictive biomarker of acute kidney injury in critically ill patients Crit Care 2011 15 1 10 10.1186/cc10318 PMC3387614 21771324 Prowle JR, Liu Y-L, Licari E, Bagshaw SM, Egi M, Haase M, et al. Oliguria as predictive biomarker of acute kidney injury in critically ill patients. Crit Care. 2011;15:1–10. 10.1186/cc10318 PMC3387614 21771324
21. Bianchi NA Stavart LL Altarelli M Kelevina T Faouzi M Schneider AG Association of oliguria with acute kidney injury diagnosis, severity assessment, and mortality among patients with critical illness JAMA Netw open 2021 4 11 e2133094 2133094 10.1001/jamanetworkopen.2021.33094 34735011 PMC8569487 Bianchi NA, Stavart LL, Altarelli M, Kelevina T, Faouzi M, Schneider AG. Association of oliguria with acute kidney injury diagnosis, severity assessment, and mortality among patients with critical illness. JAMA Netw open. 2021;4(11):e2133094–2133094. 34735011 10.1001/jamanetworkopen.2021.33094 PMC8569487
22. Ostermann M Shaw AD Joannidis M Management of oliguria Intensive Care Med 2023 49 1 103 6 10.1007/s00134-022-06909-5 36266588 Ostermann M, Shaw AD, Joannidis M. Management of oliguria. Intensive Care Med. 2023;49(1):103–6. 36266588 10.1007/s00134-022-06909-5
23. Han SS Ahn SY Ryu J Baek SH Chin HJ Na KY Proteinuria and hematuria are associated with acute kidney injury and mortality in critically ill patients: a retrospective observational study BMC Nephrol 2014 15 1 8 10.1186/1471-2369-15-93 24942179 PMC4072664 Han SS, Ahn SY, Ryu J, Baek SH, Chin HJ, Na KY, et al. Proteinuria and hematuria are associated with acute kidney injury and mortality in critically ill patients: a retrospective observational study. BMC Nephrol. 2014;15:1–8. 24942179 10.1186/1471-2369-15-93 PMC4072664
24. Outinen TK Mantula P Laine OK Pörsti I Vaheri A Mäkelä SM Haematuria is a marker for the severity of acute kidney injury but does not associate with thrombocytopenia in acute Puumala hantavirus infection Infect Dis (Auckl) 2017 49 11–12 840 6 10.1080/23744235.2017.1358461 28762841 Outinen TK, Mantula P, Laine OK, Pörsti I, Vaheri A, Mäkelä SM, et al. Haematuria is a marker for the severity of acute kidney injury but does not associate with thrombocytopenia in acute Puumala hantavirus infection. Infect Dis (Auckl). 2017;49(11–12):840–6. 10.1080/23744235.2017.1358461 28762841
25. Liyanage T Toyama T Hockham C Ninomiya T Perkovic V Woodward M Prevalence of chronic kidney disease in Asia: a systematic review and analysis BMJ Global Health 2022 7 1 1 9 10.1136/bmjgh-2021-007525 PMC8796212 35078812 Liyanage T, Toyama T, Hockham C, Ninomiya T, Perkovic V, Woodward M, et al. Prevalence of chronic kidney disease in Asia: a systematic review and analysis. BMJ Global Health. 2022;7(1):1–9. 10.1136/bmjgh-2021-007525 PMC8796212 35078812
26. Bansal N McCulloch CE Rahman M Kusek JW Anderson AH Xie D Blood pressure and risk of all-cause mortality in advanced chronic kidney disease and hemodialysis: the chronic renal insufficiency cohort study Hypertension 2015 65 1 93 100 10.1161/HYPERTENSIONAHA.114.04334 25287404 PMC4268143 Bansal N, McCulloch CE, Rahman M, Kusek JW, Anderson AH, Xie D, et al. Blood pressure and risk of all-cause mortality in advanced chronic kidney disease and hemodialysis: the chronic renal insufficiency cohort study. Hypertension. 2015;65(1):93–100. 25287404 10.1161/HYPERTENSIONAHA.114.04334 PMC4268143
27. Hoshino J Muenz D Zee J Sukul N Speyer E Guedes M Associations of hemoglobin levels with health-related quality of life, physical activity, and clinical outcomes in persons with stage 3–5 nondialysis CKD J Ren Nutr 2020 30 5 404 14 10.1053/j.jrn.2019.11.003 31980326 Hoshino J, Muenz D, Zee J, Sukul N, Speyer E, Guedes M, et al. Associations of hemoglobin levels with health-related quality of life, physical activity, and clinical outcomes in persons with stage 3–5 nondialysis CKD. J Ren Nutr. 2020;30(5):404–14. 31980326 10.1053/j.jrn.2019.11.003
28. Rage HI Ers SA Kahin AY Elmi MM Mohamed AA Kumar Jha P Causes of kidney failure among patients undergoing maintenance hemodialysis in Somalia: a multi-center study BMC Nephrol 2023 24 1 347 10.1186/s12882-023-03402-z 38012593 PMC10683205 Rage HI, Ers SA, Kahin AY, Elmi MM, Mohamed AA, Kumar Jha P. Causes of kidney failure among patients undergoing maintenance hemodialysis in Somalia: a multi-center study. BMC Nephrol. 2023;24(1):347. 38012593 10.1186/s12882-023-03402-z PMC10683205
29. Kebede KM Abateneh DD Teferi MB Asres A Chronic kidney disease and associated factors among adult population in Southwest Ethiopia PLoS ONE 2022 17 3 e0264611 10.1371/journal.pone.0264611 35239741 PMC8893675 Kebede KM, Abateneh DD, Teferi MB, Asres A. Chronic kidney disease and associated factors among adult population in Southwest Ethiopia. PLoS ONE. 2022;17(3):e0264611. 35239741 10.1371/journal.pone.0264611 PMC8893675
30. Ameer OZ Hypertension in chronic kidney disease: what lies behind the scene Front Pharmacol 2022 13 949260 10.3389/fphar.2022.949260 36304157 PMC9592701 Ameer OZ. Hypertension in chronic kidney disease: what lies behind the scene. Front Pharmacol. 2022;13:949260. 36304157 10.3389/fphar.2022.949260 PMC9592701
31. da Silva Junior GB Pinto JR Barros EJG Farias GMN Daher EDF Kidney involvement in malaria: an update Rev Inst Med Trop Sao Paulo 2017 59 e53 10.1590/s1678-9946201759053 28793022 PMC5626226 da Silva Junior GB, Pinto JR, Barros EJG, Farias GMN, Daher EDF. Kidney involvement in malaria: an update. Rev Inst Med Trop Sao Paulo. 2017;59:e53. 28793022 10.1590/S1678-9946201759053 PMC5626226
32. Koopmans LC van Wolfswinkel ME Hesselink DA Hoorn EJ Koelewijn R van Hellemond JJ Acute kidney injury in imported Plasmodium Falciparum malaria Malar J 2015 14 1 7 10.1186/s12936-015-1057-9 26702815 PMC4690233 Koopmans LC, van Wolfswinkel ME, Hesselink DA, Hoorn EJ, Koelewijn R, van Hellemond JJ, et al. Acute kidney injury in imported Plasmodium Falciparum malaria. Malar J. 2015;14:1–7. 26702815 10.1186/s12936-015-1057-9 PMC4690233
33. Pesce F Stea ED Rossini M Fiorentino M Piancone F Infante B Glomerulonephritis in AKI: from pathogenesis to therapeutic intervention Front Med 2021 7 582272 10.3389/fmed.2020.582272 PMC7960664 33738291 Pesce F, Stea ED, Rossini M, Fiorentino M, Piancone F, Infante B, et al. Glomerulonephritis in AKI: from pathogenesis to therapeutic intervention. Front Med. 2021;7:582272. 10.3389/fmed.2020.582272 PMC7960664 33738291
34. Parameswaran S Babu Geda S Rathi M Singh Kohli H Lal Gupta K Sakhuja V Referral pattern of patients with end-stage renal disease at a public sector hospital and its impact on outcome Natl Med J India 2011 24 4 208 22208139 Parameswaran S, Babu Geda S, Rathi M, Singh Kohli H, Lal Gupta K, Sakhuja V, et al. Referral pattern of patients with end-stage renal disease at a public sector hospital and its impact on outcome. Natl Med J India. 2011;24(4):208. 22208139
35. Marsh AM, Genova R, Lopez JL. Dialysis fistula. 2020.
36. Access V, Haemodialysis For. Clinical practice guideline vascular access for haemodialysis.:1–26.
37. Vachharajani TJ, Nakhoul G, Taliercio JJ, Long-Term AVF. Patency-Can we do better? Brazilian Journal of Nephrology.SciELO Brasil; 2019;41:307–9. 10.1590/2175-8239-JBN-2019-0063 PMC6788835 31268114
38. Mactier R Hoenich N Breen C Renal association clinical practice guideline on haemodialysis Nephron 2011 118 c241 21555899 10.1159/000328072 Mactier R, Hoenich N, Breen C. Renal association clinical practice guideline on haemodialysis. Nephron. 2011;118:c241. 21555899 10.1159/000328072
39. Berns JS. Reviews: should the Target Hemoglobin for patients with chronic kidney Disease treated with erythropoietic replacement therapy be changed? Seminars in Dialysis. Wiley Online Library; 2005;22–9. 10.1111/j.1525-139X.2005.18105.x 15663760
40. Kovesdy CP Regidor DL Mehrotra R Jing J McAllister CJ Greenland S Serum and dialysate potassium concentrations and survival in hemodialysis patients Clin J Am Soc Nephrol 2007 2 5 999 1007 10.2215/CJN.04451206 17702709 Kovesdy CP, Regidor DL, Mehrotra R, Jing J, McAllister CJ, Greenland S, et al. Serum and dialysate potassium concentrations and survival in hemodialysis patients. Clin J Am Soc Nephrol. 2007;2(5):999–1007. 17702709 10.2215/CJN.04451206
41. Shah S Leonard AC Harrison K Meganathan K Christianson AL Thakar CV Mortality and recovery associated with kidney failure due to acute kidney injury Clin J Am Soc Nephrol 2020 15 7 995 1006 10.2215/CJN.11200919 32554731 PMC7341787 Shah S, Leonard AC, Harrison K, Meganathan K, Christianson AL, Thakar CV. Mortality and recovery associated with kidney failure due to acute kidney injury. Clin J Am Soc Nephrol. 2020;15(7):995–1006. 32554731 10.2215/CJN.11200919 PMC7341787
42. Xu L Li C Li N Zhao L Zhu Z Zhang X Incidence and prognosis of acute kidney injury versus acute kidney disease among 71 041 inpatients Clin Kidney J 2023 16 11 1993 2002 10.1093/ckj/sfad208 37915910 PMC10616447 Xu L, Li C, Li N, Zhao L, Zhu Z, Zhang X, et al. Incidence and prognosis of acute kidney injury versus acute kidney disease among 71 041 inpatients. Clin Kidney J. 2023;16(11):1993–2002. 37915910 10.1093/ckj/sfad208 PMC10616447
43. Chou A Li KC Brown MA Survival of older patients with advanced CKD managed without dialysis: a narrative review Kidney Med 2022 4 5 100447 10.1016/j.xkme.2022.100447 35498159 PMC9046625 Chou A, Li KC, Brown MA. Survival of older patients with advanced CKD managed without dialysis: a narrative review. Kidney Med. 2022;4(5):100447. 35498159 10.1016/j.xkme.2022.100447 PMC9046625
44. Wu J Suk-Ouichai C Dong W Antonio EC Derweesh IH Lane BR Analysis of survival for patients with chronic kidney disease primarily related to renal cancer surgery BJU Int 2018 121 1 93 100 10.1111/bju.13994 28834125 Wu J, Suk-Ouichai C, Dong W, Antonio EC, Derweesh IH, Lane BR, et al. Analysis of survival for patients with chronic kidney disease primarily related to renal cancer surgery. BJU Int. 2018;121(1):93–100. 28834125 10.1111/bju.13994
45. Workie SG Zewale TA Wassie GT Belew MA Abeje ED Survival and predictors of mortality among chronic kidney disease patients on hemodialysis in Amhara region, Ethiopia, 2021 BMC Nephrol 2022 23 1 193 10.1186/s12882-022-02825-4 35606716 PMC9125902 Workie SG, Zewale TA, Wassie GT, Belew MA, Abeje ED. Survival and predictors of mortality among chronic kidney disease patients on hemodialysis in Amhara region, Ethiopia, 2021. BMC Nephrol. 2022;23(1):193. 35606716 10.1186/s12882-022-02825-4 PMC9125902