Introduction
Acute renal failure due to cast nephropathy is one of the major complications of multiple myeloma. Previous statistics suggest an incidence of 12%–17% of stage IV and stage V renal failure (eGFR < 30 mL/min) among newly diagnosed patients [ 1 ] but with earlier diagnosis and therapeutic intervention in multiple myeloma, these figures may be lower nowadays. Cast nephropathy (CAN) is the most common form of monoclonal gammopathy‐related acute kidney damage [ 2 ], accounting for about 60% of monoclonal protein–induced renal pathologies [ 3 ] and requires intervention to rescue kidneys from irreversible damage [ 4 , 5 ]. CAN results from the aggregation and precipitation of filtered monoclonal light chains with Tamm‐Horsfall protein in the distal tubules [ 6 ]. These casts obstruct and damage distal renal tubules and trigger a cellular reaction, including macrophage‐derived giant cells [ 7 ], and promote inflammatory cytokine secretion leading to interstitial fibrosis [ 8 ]. This process is worsened by low urine pH, high calcium/phosphate levels, dehydration, use of loop diuretics, NSAIDs, and infection or inflammation [ 9 , 10 ] and may result in irreversible tubular atrophy and interstitial fibrosis [ 11 ]. The variability in free light chain (FLC) toxicity is generally attributed to the CDR3 (third complementarity‐determining region) of the variable domain of kappa or lambda light chain molecules, which determines the binding avidity to a nine‐amino‐acid sequence on Tamm‐Horsfall protein [ 6 ].
Restoration of renal function depends on the degree of interstitial fibrosis and the number of casts at the start of treatment intervention [ 12 , 13 ]. Provision of supportive care, such as hydration, hypercalcemia correction, and avoidance of nephrotoxins, and most importantly, reduction of excessive light chain production [ 4 ] through prompt diagnosis and initiation of effective anti‐myeloma therapy [ 14 , 15 ] is of utmost importance. Renal improvement is assessed by using the criteria defined by the International Myeloma Working Group (IMWG) [ 16 ], based on eGFR changes.
Previous studies aiming to identify parameters indicative of renal recovery and response to myeloma therapy have often been limited by small patient cohorts [ 17 , 18 ]. Here, we present an international collaboration among 14 international centers specializing in MM and/or renal diseases. The primary goal of this cooperation was to assess the impact of patient characteristics, disease features, and treatment‐related factors on renal outcomes and overall survival, while also validating the IMWG criteria for renal response in a large cohort of patients with CAN and newly diagnosed multiple myeloma.
Patients and Methods
The project was discussed during the regular meetings of the IKMG (International Kidney and Monoclonal Gammopathy Group), held in conjunction with the ASH meetings. The IKMG brings together the world experts in kidney disease caused by monoclonal proteins. During these discussions, it was decided to invite 35 centers to participate. Ultimately, 14 of these centers provided patient‐level data for 787 patients, which were entered in the specially built study database hosted by REDCap (Table S1 ). Of these, 399 patients presented with an eGFR of < 40 mL/min/1.73 m 2 , and 354 patients had renal disease stage IV (eGFR 15–29 mL/min/1.73 m 2 ) or stage V (eGFR < 15 mL/min/1.73 m 2 ).
Since outcome differences were similar between the two groups, although differences were more pronounced in the latter cohort, we present all analysis conducted in patients with stage IV and V renal failure. The clinical diagnosis of cast nephropathy was based on the presence of acute renal failure (GFR < 30 mL/min), multiple myeloma, elevated serum free light chains (> 500 mg/L), and proteinuria. The updated IMWG criteria suggest that serum free light chain levels above 500 mg/mL in the presence of myeloma and acute renal failure are highly indicative of cast nephropathy [ 19 ]. Patients presenting with anuria or serum free light chain concentrations below 500 mg/L should undergo renal biopsy to confirm the diagnosis; this procedure was performed in 119 patients. An additional 235 patients were diagnosed based on clinical criteria, as recommended by the IMWG [ 11 , 19 ]. Survival analysis of both groups showed similar survival (Figure S1 ). Further inclusion criteria required documentation of at least two therapy cycles, eGFR calculation using the Modification of Diet in Renal Disease (MDRD) formula [ 20 ], and best response to myeloma therapy (Figure S2 ). IMWG defined renal response criteria, and stages of kidney disease and myeloma response criteria are shown in Tables 1 and S2 .
TABLE 1
Renal response criteria as defined by the IMWG.
| Renal response | Baseline eGFR (mL/min/1.73 m 2 ) | Best eGFR (mL/min/1.73 m 2 ) |
| Complete response | < 50 | ≤ 60 |
| Partial response | < 15 | 30–59 |
| Minor response | 15–29 | 30–59 |
| Minor response | < 15 | 15–29 |
| Non‐definable | 15–29 | 30–59 |
Statistical Analysis
Statistical analyses were performed using SPSS software version 17.0 (IBM SPSS Statistics, IBM Corporation, Armonk, NY) and RStudio (version 4.3.3; R Foundation for Statistical Computing, Vienna, Austria). Continuous variables are presented as medians (range) and categorical variables as counts (percentages). Kaplan‐Meier [ 21 ], Cox–, binary logistic—and generalized linear regression analyses were used to assess survival and renal response. For the regression analyses, variables were transformed as needed. To identify the most parsimonious and predictive model, a bidirectional stepwise approach based on the Akaike Information Criterion (AIC) was used. Since a prerequisite for this procedure is a complete dataset, missing data were imputed via predictive mean matching to avoid the drawbacks of simple imputation methods such as median substitution. A single imputed dataset was created to ensure compatibility with the model selection procedures, which are not natively supported by multiple imputed datasets. Receiver operating characteristics (ROC) curves compared to the IMWG criteria versus best eGFR. Landmark analysis at 3 and 10 months for myeloma response and renal response was included. The cutoff times were chosen based on median times to best response.
Results
Baseline Patient Characteristics
Baseline characteristics are shown in Table 2 . Patients were diagnosed between 1999 and 2022.
TABLE 2
Patient characteristics.
Note : Missing data: age 3 (0.9%), type of Myeloma 27 (7.6%), FLC concentration 5 (1.4%), FLC type 6 (1.7%), Hemoglobin 1 (0.003%), LDH 74 (20.9%), ß 2 microglobulin 31 (8.8%), ISS stage 7 (2.0%), ECOG‐Status 12 (3.4%), Hypercalcemia 32 (9.0%), HRCA 123 (34.8%), diagnosis 1 (0.003%), dialysis 2 (0.6%), continued dialysis 8 (2.3%), Proteinuria 128 (36.2%). a Includes patients with intact immunoglobulin isotype plus free light chains.
| Parameter | n | Percent/median (range) |
| Demographic characteristics | ||
| Age (median, range) | 351 | 62.5 (35–93) |
| Gender (female/male) | 167/187 | 40.8%/59.2% |
| Myeloma characteristics | ||
| IgG/IgA/IgD/IgM/LC only | 139/47/8/2/131 | 39.3%/13.3%/2.3%/0.6%/37% |
| κ LC, mg/L (median, range) | 203 | 4790 (8.9–201 000) |
| λ LC, mg/L (median, range) | 144 | 3585 (57.3–51 000) |
| FLC only, mg/L (median, range) | 131 | 6825.65 (379–201 000) |
| κ LC only, mg/L (median, range) | 81 | 7018.65 (379–201 000) |
| λ LC only, mg/L (median, range) | 50 | 5645 (534–51 000) |
| FLC of IgG/IgA/IgD/IgM, mg/L (median, range) a | 196 | 3390 (8.9–49 100) |
| Bone marrow plasma cells % (median, range) | 274 | 60 (4–100) |
| Hemoglobin, g/L (median, range) | 353 | 9.2 (4.4–15.7) |
| LDH, U/L (median, range) | 280 | 217.5 (53–1100) |
| ß 2 microglobulin mg/L (median, range) | 323 | 16 (1.8–85.9) |
| ISS stage I + II/III | 43/304 | 12.1%/85.9% |
| ECOG‐status 0/1/2/3/4 | 56/170/79/31/6 | 15.3%/48.0%/22.3%/8.8%/1.7% |
| Hypercalcemia 0/1/2/3/4 | 220/34/19/19/30 | 62.1%/9.6%/5.4%/5.4%/8.5% |
| HRCA 0/1/ ≥ 2 | 113/79/39 | 39.1%/22.3%/11.0% |
| Renal characteristics | ||
| Diagnosis by clinical parameters | 272 | 76.8% |
| Diagnosis by renal biopsy | 81 | 22.9% |
| eGFR, < 15 mL/min/173 m 2 | 209 | 59.0% |
| eGFR, 15–29 mL/min/173 m 2 | 145 | 41.0% |
| Proteinuria, g/day (median, range) | 226 | 2042 (0–38 000) |
| Dialysis | 136 | 38.4% |
| Continued dialysis | 56 | 41.2% |
Baseline eGFR was < 15 mL/min/1.73 m 2 in 209 patients (59%) and between 15 and 29 mL/min/1.73 m 2 in 145 patients (41%), with a median eGFR of 12.32 mL/min/1.73 m 2 . One hundred thirty‐six (38.4%) patients required dialysis at diagnosis. Median baseline proteinuria was 2042 mg/24 h. Median free light chain levels were 4790 mg/L (kappa) and 3585 mg/L (lambda); 31% had hypercalcemia. The median time to therapy was 9 days, with a median follow‐up of 35.9 months.
Myeloma Therapy
Treatment initiation within 5 days after diagnosis was associated with longer survival (median 90 vs. 51 months), although the difference did not reach levels of statistical significance ( p = 0.095). Myeloma therapy mainly involved bortezomib‐based regimens, with 34.8% receiving CyBorD/VCD and 43.4% other bortezomib‐based combinations, resulting in nearly 80% of patients receiving bortezomib as part of their first‐line therapy (Table 3 ). Few patients received daratumumab, and none received bispecific antibodies.
TABLE 3
Myeloma therapy and myeloma and renal response.
Note : Missing data: chemotherapy 35 (9.9%), Lowest FLC concentration 20 (5.7%), FLC type 6 (1.7%), FLC reduction 102 (28.8%), dialysis 2 (0.6%), continued dialysis 8 (2.3%). a Non‐definable according to IMWG criteria (Patients with eGFR 15– < 30, with an increase in eGFR to ≥ 30 – < 40).
| Parameter | n | Value |
| Duration of follow up (median) | 354 | 39.3 months |
| First line chemotherapy | ||
| Cybord (VCD) | 111 | 34.8% |
| Vd | 38 | 11.% |
| VTd | 23 | 7.2% |
| PAD | 20 | 6.3% |
| VRd | 18 | 5.6% |
| Rd | 11 | 3.4% |
| VDTC | 10 | 3.1% |
| VMDT | 10 | 3.1% |
| VDRC | 10 | 3.1% |
| Other bortezomib containing regimens | 12 | 3.7% |
| Other regimens without bortezomib | 56 | 17.6% |
| Myeloma response | ||
| CR including MRDneg | 87 | 24.3% |
| VGPR | 145 | 41.0% |
| PR | 100 | 28.2% |
| MR | 9 | 2.5% |
| SD | 8 | 2.3% |
| PD | 6 | 1.7% |
| Light chain response | ||
| Lowest FLC achieved during treatment (median, range) | 334 | 42.05 (0.06–34 700) |
| Kappa (median, range) | 203 | 40.68 (0.06–24 800) |
| Lambda (median, range) | 144 | 46.6 (0.06–34 700) |
| FLC < 500 mg/L | 334 | 67.8% |
| > 50% reduction in FLC at cycle 2 or 3 | 252 | 58.5% |
| Lowest FLC achieved in patients with ≥ VGPR (median, range) | 334 | 21.4 (0.06–15 600) |
| Renal response (IMWG) | ||
| CR | 120 | 33.9% |
| PR | 69 | 19.5% |
| MR | 99 | 28.0% |
| ND a | 2 | 0.6% |
| Renal response (Best eGFR, mL/min/1.73 m 2 ) | ||
| ≥ 60 | 120 | 33.9% |
| 30–60 | 118 | 33.3% |
| 15–29 | 79 | 22.3% |
| < 15 | 37 | 10.5% |
| Dialysis | ||
| Continued dialysis until death/end of FU | 56 | 15.8% |
| Dialysis discontinued | 136 | 38.4% |
Myeloma and Renal Response
A myeloma response (best response) was achieved in 93.5% (24.3% ≥ CR/MRD negativity, 41.0% VGPR, 28.2% PR); major renal responses (best response CRrenal or PRrenal) were achieved in 189 patients (33.9% CRrenal, 19.5% PRrenal) and MRrenal in 28.0%. Myeloma response (≥ VGPR) correlated with renal response (≥ PRrenal) (OR 1.89, p = 0.005; Figure 1B ). Free light chain reductions to < 500 mg/L were achieved in 67.8% and > 50% reduction of FLC by cycles 2 or 3 in 58.5% of patients (Table 3 ). Best eGFR improvements were seen in 33.9% (> 60 mL/min/1.73 m 2 ), 33.3% (30–59), 22.3% (15–29), with 10.5% remaining < 15 mL/min/1.73 m 2 . An overall increase in eGFR with progressing treatment cycles was observed (Figure S3 ). Median times to best myeloma and eGFR responses were 2.46 and 10.1 months, respectively, with further improvements beyond 3 years in 11% and 43.1% of patients (Figure 1A ). Landmark analysis based on the median times to best response showed a continuation of the survival benefit of a myeloma response, whereas the survival differences across renal response groups decreased (Figure S4 ).

Regression Analysis for Factors Correlating With Renal and Myeloma Response
In regression analyses, renal response correlated in multivariate models with ECOG status (OR 0.61, p = 0.002), IgG kappa isotype (OR 2.72, p = 0.018), dialysis (OR 0.53, p = 0.034), and > 50% FLC reduction (OR 2.59, p = 0.003); best eGFR was associated with age (Coeff −0.62, p < 0.001), calcium (Coeff 3.05, p < 0.001), baseline FLC (Coeff −4.86, p < 0.001), baseline eGFR (Coeff 0.80, p = 0.005), dialysis (Coeff −10.80, p = 0.001), and > 50% FLC reduction (Coeff 9.24, p = 0.021). In univariate regression, myeloma response correlated with best eGFR (Coeff 8.53, p = 0.034; Figure 1C ). Baseline free light chain levels correlated with both best eGFR (Coeff −72.99, p = 0.006; Figure 1D ) and renal response (OR 0.79, p = 0.047), with similar results for λ and κ types; calcium correlated with best eGFR (Coeff 4.41, p < 0.001) but showed a non‐significant tendency with better renal response (OR 1.09, p = 0.138) (Table 4 , Figure 1E ).
TABLE 4
Simple generalized linear regression of clinical or laboratory data with best eGFR, and binary logistic regression analysis of clinical or laboratory data with ≥ MRrenal.
a Unit change of 1%. b Log‐transformed. Bold values inidcate statistically significant results ( p < 0.05). * p < 0.05** p < 0.01*** p < 0.001.
| Clinical data | Simple generalized linear regression with best GFR | Binary logistic regression with ≥ MRrenal | ||||||||
| N | Univariate | Multivariate | N | Univariate | Multivariate | |||||
| Variable | Coefficient (95% CI) | p | Coefficient (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | ||
| Patient and disease characteristics | ||||||||||
| Age | 348 | −0.54 (−0.85–(−0.23)) | < 0.001*** | −0.62 (−0.91–(−0.34)) | < 0.001*** | 351 | 0.99 (0.96–1.00) | 0.397 | ||
| ISS stage III | 343 | −11.74 (−23.33–(−0.15)) | 0.048* | 347 | 0.55 (0.18–1.33) | 0.224 | ||||
| LDH | 278 | −170.79 a (−1360.13–1018.55) | 0.779 | 280 | 0.79 a (0.09–8.68) | 0.833 | ||||
| ß 2 microglobulin | 319 | −0.53 (−0.84–(−0.22)) | < 0.001*** | 323 | 0.98 (0.98–1.01) | 0.038* | ||||
| Hemoglobin | 349 | 2.56 (0.55–4.56) | 0.013* | 353 | 1.11 (0.96–1.30) | 0.169 | ||||
| Calcium (corrected) | 315 | 4.41 (2.99–5.83) | < 0.001*** | 3.05 (1.70–4.39) | < 0.001*** | 322 | 1.09 (0.98–1.23) | 0.138 | 1.10 (0.98–1.25) | 0.118 |
| ECOG‐status | 338 | 0.21 (−3.99–4.41) | 0.922 | 340 | 0.70 (0.52–0.93) | 0.014* | 0.61 (0.45–0.83) | 0.002** | ||
| M‐protein | ||||||||||
| FLC type (kappa vs. Lambda) | 344 | 7.86 (0.17–15.55) | 0.046* | 5.15 (−1.94–12.24) | 0.155 | 348 | 1.37 (0.80–2.36) | 0.253 | ||
| IgG kappa Isotype | 323 | 12.18 (2.67–21.70) | 0.013* | 6.71 (−1.81–15.23) | 0.124 | 327 | 2.04 (0.97–4.85) | 0.079 | 2.72 (1.25–6.68) | 0.018* |
| FLC levels | 345 | −72.99 b (−125.02–(−20.95)) | 0.006** | −4.86 b (−7.69–(−2.03)) | < 0.001*** | 349 | 0.79 b (0.63–0.99) | 0.047* | ||
| FLC kappa levels | 202 | −67.50 b (−128.72–(−6.28)) | 0.032* | 203 | 0.89 b (0.65–1.20) | 0.443 | ||||
| FLC lambda levels | 141 | −43.90 b (−75.31–(−12.49)) | 0.007** | 144 | 0.64 b (0.43–0.91) | 0.016** | ||||
| Proteinuria | 224 | −9.70 a (−45.38–25.99) | 0.595 | 226 | 0.51 a (0.06–5.89) | 0.547 | ||||
| Renal function | ||||||||||
| GFR (baseline) | 350 | 1.42 (0.93–1.91) | < 0.001*** | 0.80 (0.25–1.34) | 0.005** | 354 | 1.02 (0.99–1.06) | 0.203 | ||
| Diagnosis by biopsy | 349 | −12.26 (−21.21–(−3.32)) | 0.008** | 353 | 0.83 (0.45–1.57) | 0.547 | ||||
| Dialysis | 348 | −20.51 (−28.01–(−13.02)) | < 0.001*** | −10.80 (−19.23–(−2.39)) | 0.001** | 352 | 0.52 (0.30–0.90) | 0.018* | 0.53 (0.30–0.96) | 0.034* |
| Cytogenetics | ||||||||||
| HRCA (intermediate risk, ≥ 1) | 229 | −6.67 (−16.40–3.07) | 0.181 | 231 | 0.48 (0.23–0.99) | 0.050 | ||||
| HRCA (high risk, ≥ 2) | 229 | −1.02 (−11.98–14.01) | 0.878 | 231 | 0.59 (0.26–1.44) | 0.225 | ||||
| Treatment response | ||||||||||
| Myeloma response (≥ VGPR) | 350 | 8.53 (0.67–16.39) | 0.034* | 354 | 1.62 (1.22–2.95) | 0.084 | ||||
| FLC reduction > 50% at cycle 2 or 3 | 269 | 18.75 (7.59–29.90) | 0.001** | 9.24 (1.44–17.03) | 0.021* | 252 | 3.44 (1.73–6.78) | < 0.001*** | 2.59 (1.37–4.82) | 0.003** |
| FLC reduction > 90% | 269 | 16.25 (6.93–25.57) | < 0.001*** | 252 | 2.79 (1.51–5.17) | 0.001** | ||||
| Bortezomib | 348 | −2.34 (−14.62–9.94) | 0.709 | 352 | 0.82 (0.29–1.93) | 0.677 |
Overall Survival
Of the 787 patients included in our database, 58 (7.4%) died before day 61 and were not included in this analysis. Median overall survival of the study population of 354 patients was 77.6 months. Favorable factors included ≥ VGPR (99.8 vs. 42.0 months; HR 0.49, p < 0.001), > 50% FLC reduction (77.6 vs. 37.4 months; HR 0.58, p = 0.009), best eGFR ≥ 15 mL/min/1.73 m 2 (82.6 vs. 31.9 months; HR 0.52, p = 0.006), bortezomib‐based therapy (82.6 vs. 43.5 months; HR 0.59, p = 0.014), and κ light chain type (87.8 vs. 57.8 months; HR 0.60, p = 0.002) (Table 5 , Figure 2A,E,G ). Shorter survival was linked to hemoglobin ≤ 12 g/dL (HR 2.82, p = 0.004), hypercalcemia (HR 1.70, p = 0.002), ISS stage III (58.4 vs. 104.7 months; HR 3.25, p < 0.001), ECOG III–IV (28.5 vs. 90.2 months; HR 1.73, p < 0.001), older age (HR 1.05, p < 0.001), elevated λ FLC (HR 4.85, p = 0.015), ≥ 2 high‐risk cytogenetic aberrations (87.8, 84.0, and 38.2 months for 0, 1, and ≥ 2 aberrations; HR 1.85, p = 0.020), high LDH (HR 1.85, p < 0.001), and elevated β2‐microglobulin (HR 1.02, p < 0.001) (Table 5 , Figure 2D .H). Patients with ≥MR renal had longer OS (84.3 vs. 44.0 months; HR 0.63, p = 0.015) (Table 5 , Figure 2B ), as did those with eGFR ≥ 15 mL/min/1.73 m 2 (82.6 vs. 31.9 months; HR 0.52, p = 0.006) (Table 5 , Figure 2C ). OS varied by renal response (CR 87.8, PR 77.6, MR 77.9, NR 39.6 months; p = 0.035) and best eGFR (< 15: 31.9, 15–< 30: 82.6, 30–< 60: 65.2, ≥ 60: 87.8 months; p = 0.046) (Table 5 , Figure 2B,C ).
TABLE 5
Cox regression analysis with overall survival.
a Unit change of 1%. Bold values inidcate statistically significant results ( p < 0.05). * p < 0.05** p < 0.01*** p < 0.001.
| Clinical data | Univariate | Multivariate | |||
| Variable | N | HR (95% CI) | p | HR (95% CI) | p |
| Patient and disease characteristics | |||||
| Age | 350 | 1.05 (1.04–1.07) | < 0.001*** | 1.06 (1.04–1.08) | < 0.001*** |
| ISS stage III | 346 | 3.25 (1.65–6.37) | < 0.001*** | ||
| LDH ≥ 240 | 280 | 1.85 (1.30–2.64) | < 0.001*** | 2.16 (1.53–3.03) | < 0.001*** |
| ß 2 microglobulin | 322 | 1.02 (1.01–1.03) | < 0.001*** | 1.02 (1.00–1.03) | 0.007** |
| Hemoglobin ≤ 12 | 352 | 2.82 (1.38–5.77) | 0.004** | 1.65 (0.79–3.46) | 0.184 |
| Hypercalcemia | 321 | 1.70 (1.22–2.38) | 0.002** | 1.73 (1.24–2.41) | 0.003** |
| Bone marrow plasma cells | 274 | 1.01 (1.00–1.01) | 0.013* | ||
| ECOG‐status | 341 | 1.73 (1.56–1.91) | < 0.001*** | 1.44 (1.20–1.73) | < 0.001*** |
| M‐protein | |||||
| FLC type (kappa vs. lambda) | 348 | 0.73 (0.53–1.00) | 0.053 | 0.60 (0.44–0.83) | 0.002** |
| IgG kappa Isotype | 326 | 0.89 (0.61–1.30) | 0.561 | ||
| FLC levels | 348 | 0.67 (0.09–4.85) a | 0.692 | ||
| FLC kappa levels | 203 | 0.31 (0.02–4.95) a | 0.410 | ||
| FLC lambda levels | 143 | 4.85 (1.36–17.31) a | 0.015* | ||
| Proteinuria | 226 | 1.81 (0.36–9.20) a | 0.474 | ||
| Renal function | |||||
| Baseline GFR | 354 | 1.00 (0.98–1.02) | 0.860 | 1.04 (1.01–1.07) | 0.003** |
| Diagnosis by Biopsy | 352 | 1.15 (0.80–1.67) | 0.438 | ||
| Dialysis | 351 | 1.08 (0.78–1.48) | 0.656 | 1.61 (1.04–2.49) | 0.031* |
| Cytogenetics | |||||
| HRCA (intermediate risk, ≥ 1) | 231 | 1.44 (0.96–2.17) | 0.080 | ||
| HRCA (high risk, ≥ 2) | 231 | 1.85 (1.10–3.13) | 0.020* | 1.65 (1.14–2.40) | 0.009* |
| Myeloma response | |||||
| Myeloma response (≥ VGPR) | 353 | 0.49 (0.36–0.68) | < 0.001*** | 0.47 (0.34–0.65) | < 0.001*** |
| FLC reduction > 50% at cycle 2 or 3 | 272 | 0.58 (0.39–0.88) | 0.009** | ||
| FLC reduction > 90% | 272 | 0.71 (0.80–1.02) | 0.065 | ||
| Bortezomib | 351 | 0.59 (0.39–0.90) | 0.014* | ||
| Renal response | |||||
| CRrenal | 353 | 0.93 (0.67–1.30) | 0.687 | ||
| ≥ PRrenal | 353 | 0.78 (0.57–1.07) | 0.124 | ||
| ≥ MRrenal | 353 | 0.63 (0.43–0.92) | 0.015* | ||
| Best GFR | 349 | 0.46 (0.20–1.06) a | 0.068 | ||
| Best GFR ≥ 60 (same as CRenal) | 353 | 0.93 (0.67–1.30) | 0.687 | ||
| Best GFR ≥ 30 | 353 | 0.81 (0.58–1.13) | 0.216 | ||
| Best GFR ≥ 15 | 353 | 0.52 (0.33–0.83) | 0.006** |

In multivariate analysis, independent predictors of survival were age (HR 1.06, p < 0.001), LDH ≥ 240 U/L (HR 2.16, p < 0.001), β 2‐microglobulin (HR 1.02, p = 0.007), hypercalcemia (HR 1.73, p = 0.003), ECOG status (HR 1.44, p < 0.001), κ FLC type (HR 0.60, p = 0.002), baseline eGFR (HR 1.04, p = 0.003), dialysis requirement (HR 1.61, p = 0.031), presence of ≥ 2 high risk cytogenetic aberrations (HR 1.65, p = 0.009), and myeloma response (HR 0.47, p < 0.001) (Table 5 ).
Validation of IMWG Renal Response Criteria With eGFR Categories
Comparing the IMWG renal response criteria with categories of best eGFR, the IMWG criteria had a slightly smaller C‐index (0.68 vs. 0.70) but a marginally better predictive power in Cox regression ( R 2 : 0.031 vs. 0.019). When used as a single predictor for survival, the IMWG criteria had a slightly higher ROC survival prediction at 1 year (AUC: 0.626 vs. 0.595) compared to best eGFR criteria. Similar results were obtained in landmark analyses (Table S3 ).
Patients With Renal Biopsy
Among 81 (22.9%) patients undergoing both renal biopsy and clinical evaluation, baseline eGFR was lower (10.6 vs. 13.02 mL/min/1.73 m 2 ; p = 0.005), and best eGFR was reduced (36.0 vs. 54.39 mL/min/1.73 m 2 ; p = 0.013) compared to those assessed clinically, though survival was similar (77.9 vs. 74.7 months; p = 0.413) (Figure S1 ).
Patients on Dialysis
Of 136 (38.4%) patients initially requiring dialysis, 56 (41.2%) remained on dialysis while 80 (58.8%) discontinued it; those who stopped dialysis had higher best median eGFR (39.5 vs. 15.3 mL/min/1.73 m 2 ; p < 0.001) (Figure 1F ) and longer OS (82.6 vs. 31.9 months; p = 0.005) (Figure 2F ). Overall survival was notably longer in patients achieving a best eGFR of 15 mL/min/1.73 m 2 or higher (82.6 months) compared to those with lower eGFR levels (31.9 months; p = 0.005). None of the patients received dialysis with cut‐off membranes [ 22 , 23 ].
Discussion
This study represents the largest cohort of patients with cast nephropathy, comprising data from 14 international myeloma and renal study groups. Focusing on patients with an estimated glomerular filtration rate (eGFR) of less than 30 mL/min/1.73 m 2 , stage IV and V renal failure, we observed an International Myeloma Working Group (IMWG)‐defined renal response rate of 53.4%, including 33.9% complete renal responses (CRrenal) and 19.5% partial renal responses (PRrenal). When using eGFR as a response criterion, 33.3% of patients improved to an eGFR of 30–59 mL/min/1.73 m 2 , and 33.9% achieved ≥ 60 mL/min/1.73 m 2 , representing an overall improvement of 67.2%. The strong concordance between IMWG criteria and eGFR‐based assessments was evident, as both methods yielded similar survival curves, emphasizing the validity of the IMWG criteria for renal response, which take baseline eGFR levels into account. This agreement was also supported by receiver operating curve analysis and the Sankey diagram [ 24 ], which showed a similar distribution of the renal response criteria in patients with different myeloma responses (Figure 1G ).
Our study identified several factors associated with renal recovery and overall survival. The median time to achieve a myeloma response greater than very good partial response (VGPR) was 2.46 months, while the median time to best eGFR (≥ 60) was 10.1 months. This is consistent with a previous report indicating a maximum cumulative incidence rate for CRrenal of 46% in patients with baseline eGFR < 50 mL/min/1.73 m 2 one year after initiation of therapy [ 25 ]. The extended follow‐up in our study showed that myeloma response and eGFR continued to improve in 11% and 43.1% of patients, respectively, over 3 years. This may primarily be attributed to the use of effective new therapies after relapses to first‐line treatment and the longer follow‐up period.
The most important predictors of renal recovery according to IMWG criteria included baseline Eastern Cooperative Oncology Group (ECOG) status (0–2 vs. 3–4), IgG kappa isotype, absence of dialysis, and reduction of free light chains (FLC) by more than 50% at cycle 2 or 3. Both FLC reduction and kappa FLC isotype have previously been identified as significant predictors of renal recovery [ 4 ]. Early intervention is critical, as reabsorption of FLCs in the proximal tubule can induce a proinflammatory state that promotes cast formation, apoptosis, and obstruction of the distal tubules and possible irreversible renal damage [ 26 ].
When evaluating factors associated with best eGFR values, significant correlations were observed with age, baseline FLC levels, eGFR, calcium levels, dialysis status, and FLC reduction of more than 50%. Hypercalcemia, which was present in 31% of our patients at baseline, is a hallmark of progressive myeloma and is known to impair renal function by decreasing the sensitivity of collecting ducts to antidiuretic hormone, reducing sodium reabsorption, increasing diuresis, and constricting afferent arterioles. Immediate correction of hypercalcemia by hydration and bisphosphonate therapy can increase the likelihood of renal recovery, as previously reported by other groups [ 27 , 28 , 29 ].
Higher baseline eGFR levels indicate less severe renal damage, offering a greater chance for tissue repair and functional improvement. In particular, kappa light chains exhibit a lower tendency to bind Tamm‐Horsfall protein and form large obstructive casts [ 30 ] contributing to better outcomes in patients with IgG kappa paraprotein. Conversely, lambda light chains are less soluble, making them more susceptible to aggregation, dimer formation, hyaline cast deposition, and tubular damage, increasing the risk of acute kidney injury [ 31 ].
Early treatment initiation within 5 days after diagnosis was associated with a tendency for improved survival. The median overall survival (OS) for the entire cohort was 77.6 months, and correlated with factors such as age, lactate dehydrogenase (LDH), β2‐microglobulin, hemoglobin, and ECOG status. Multivariate analysis revealed strong associations between OS and myeloma response category, FLC type, baseline eGFR, calcium levels, and the presence of two or more high‐risk cytogenetic aberrations.
Consistent with observations from other groups [ 32 , 33 ], bortezomib‐based combinations were associated with improved OS in univariate analysis. Bortezomib efficacy may be attributed to its inhibition of nuclear factor‐kappa B (NF‐ κ B), which is upregulated by intracellular uptake of light chains. Bortezomib suppresses the release of inflammatory cytokines and promotes anti‐apoptotic gene expression in epithelial cells of the proximal tubules [ 34 ]. Both activities may explain the high activity of this key anti‐myeloma drug in cast nephropathy [ 34 ].
Patients who achieved a renal response, defined either by IMWG criteria (≥MRrenal) or an eGFR > 15 mL/min/1.73 m 2 , had a significantly longer OS. It is noteworthy that OS was shorter in patients with involved lambda light chains compared to those with kappa light chains, which is consistent with previous reports [ 35 , 36 ]. A reduction of FLCs of more than 50% correlated with both renal response and best eGFR. Previous studies have associated overall survival with different levels of achieved eGFR [ 13 , 32 , 35 ], while more recent studies support our findings that there are only marginal differences in survival between patients with an eGFR of ≥ 15 mL/min/1.73 m 2 and renal recovery to higher eGFR categories [ 36 , 37 , 38 ].
Of 38% of patients who initially required dialysis, 58.8% were able to discontinue dialysis. This figure is consistent with findings of the EuLITE study [ 23 ] and slightly lower than in the MYRE study [ 22 ], both of which compared high cut‐off dialysis membranes with conventional hemodialysis. Patients who discontinued dialysis had a significantly higher median best eGFR (39.5 vs. 15.3 mL/min/1.73 m 2 ) and longer survival (82.4 vs. 38.2 months) than patients who remained on continuous dialysis. These findings align with other studies reporting variable percentages of dialysis discontinuation [ 39 ].
Limitations of this study include its retrospective design, the exclusion of patients dying before the end of cycle 2, missing data points, and the heterogeneity of treatment regimens used for first‐line therapy. Only about 20% of patients underwent renal biopsy. It is recognized that a detailed analysis of biopsies could provide valuable information, such as the number of casts, the degree of interstitial fibrosis and tubular atrophy, and the prevalence of pathologies other than cast nephropathy [ 13 , 40 ]. Previous data suggest that the combination of the diagnosis of multiple myeloma, with light chain proteinuria and serum FLC levels > 500 mg/L is highly indicative of cast nephropathy [ 11 , 16 ]. The likelihood of tubular casts formation increases with rising FLC levels, particularly when the threshold of 500 mg/mL is exceeded [ 23 ]. Notably, overall survival was very similar between patients who underwent renal biopsy compared with those who did not (Figure S1 ). Another limitation is the bidirectional stepwise procedure that was applied for the variable selection for the multivariate models as it can lead to overfitting and unstable results in small samples. Nevertheless, it is still preferred to the disadvantages entailed by including variables that show statistical significance in univariate regression [ 41 ].
The median follow‐up time of our study was more than 3 years, which partly explains why daratumumab, which has been approved for first‐line therapy only recently, was not used in our patient cohort. Recent studies employing daratumumab with Vd (bortezomib and dexamethasone) or VCD (bortezomib, cyclophosphamide, and dexamethasone) demonstrated rapid and substantial FLC reduction with high rates of myeloma and renal responses [ 42 , 43 , 44 ]. The time to achieve an FLC reduction of greater than 50% was much shorter compared with conventional chemotherapy, with one study reporting a median of only 3 days [ 42 ]. Given these recent excellent results, CD38 antibody combinations with Vd or VCd should strongly be considered in any patient with acute renal failure due to cast nephropathy. Whether bispecific or trispecific antibodies will achieve similar results remains to be demonstrated. Preliminary reports with teclistamab [ 45 ] and elranatamab [ 46 ] in patients with end‐stage renal failure suggest that myeloma response is not impaired by advanced renal failure, and the potential for renal recovery remains. CAR‐T cells have been used in patients with renal failure [ 47 ], but the logistic requirements preclude their use in patients with acute renal failure, where timely treatment initiation is mandatory. Strengths of this study include the international collaboration of 14 study groups, the large dataset ensuring robust results, and the conclusive validation of the IMWG response criteria.
In conclusion, our study highlights the importance of effective myeloma treatment, including bortezomib‐based regimens, substantial FLC reduction, and management of hypercalcemia for improving renal outcomes and survival in patients with acute renal failure due to cast nephropathy. Other predictors of long overall survival were normal LDH, low ß 2‐microglobulin levels, kappa FLC type, higher baseline eGFR (> 15 mL/min/1.73 m 2 ), absence of cytogenetic high‐risk factors, and no dialysis requirement at diagnosis.
Ethics Statement
The study was approved by the Ethics Committee of the Viennese Healthcare Group (EK‐20‐101‐VK), as well as by the respective ethics boards of all participating centers.
Conflicts of Interest
H.L.: Consulting and/or speakers bureau for AMGEN, Takeda, Celgene‐BMS, Janssen, Pfizer, Sanofi; Research funding: AMGEN and Sanofi; M.A.D.: Consultancy for Amgen, Sanofi, Regeneron, Menarini, Takeda, GSK, BMS, Janssen, Beigene, Swixx, Astra Zeneca; Honoraria from: Amgen, Sanofi, Regeneron, Menarini, Takeda, GSK, BMS, Janssen, Beigene, Swixx, Astra Zeneca; Speaker's Bureau or Advisory Committees for Amgen, Sanofi, Regeneron, Menarini, Takeda, GSK, BMS, Janssen, Beigene, Swixx and AstraZeneca; E.T.: Advisory Boards for Amgen, AstraZeneca, EUSA Pharma, BMS, GSK, J&J, Menarini/Stemline, Pfizer, Sanofi, Takeda; Honoraria from Amgen, Antengene, AstraZeneca, EUSA Pharma, BMS, Forus, GSK, J&J, Menarini/Stemline, Novartis, Pfizer, Sanofi, Swixx, Takeda; Research Funding from Amgen, GSK, J&J, Sanofi, Takeda; Travel Expenses: Takeda; M.B.: Advisory boards: Bristol Myer Squibb, Janssen, Glaxo Smith Kline, Pfizer, Sanofi, Stemline Takeda, Menarini Stemline; Speakers Bureau: Sanofi, Takeda, Menarini Stemline, Pfizer, Bristol Myers Squibb, Glaxo Smith Kline; Research Support: Janssen; N.L.: Stock ownership: AbbVie, Checkpoint Therapeutics; Research Support: Omeros Pharma Corporation; L.A.: Speaker Bureau: EUSA Pharma, Novartis, Kite, Beigene; Data safety monitoring board/Advisory board: Roche, Janssen‐Cilag, Verastem, Incyte, EUSA Pharma, Celgene/Bristol‐Myers Squibb, Kite/Gilead, ADC Therapeutics, Novartis; Travel and meeting support: Roche; S.M.: Advisory board: Janssen, Sanofi, Pfizer, GSK; Honoraria: Bristol‐Myers Squibb, Pfizer, Sanofi, AMGEN, GSK, Janssen, Menarini Stem Line; F.B.: Consultancy/advisory boards: Attralus, Novartis, Astra Zeneca; Lecture fees: Amgen, Janssen, GSK, Lilly, Sanofi; F.G.: Advisory board/Honoraria: Janseen, Takeda, Pfizer, Amgen, Sanofi, Cegene/BMS, Roche; Advisory board: Regeneron, Kite, Astrazeneca; N.K.: Advisory board: Calliditas; J.D.L.R.: Advisory boards: BMS, GSK, Janssen, Pfizer, Speakers Bureau: BMS, GSK, Janssen, Menarini/Stemline, Oncopeptides, Pfizer, Sanofi; E.K.: Honoraria and/or Research Support: GSK, Pfizer, Janssen, Sanofi; All other authors have no conflicts of interest to report.
Supporting information
Table S1: Number of patients submitted and included by participating centers.
Table S2: (A) Stages of Chronic Kidney Disease. (B) Myeloma response criteria as defined by the IMWG.
Table S3: Validation of IMWG Renal Response criteria using ROC‐analysis for survival prediction at 1 year, R 2 and C‐index at baseline, 3‐ and 10‐month landmarks.
Figure S1: Overall survival in patients diagnosed by renal biopsy or on clinical grounds.
Figure S2: Flow chart of patient selection.
Figure S3: Violin plot showing the stepwise increase in eGFR by treatment cycles.
Figure S4: Landmark analysis of (A) myeloma response at 3 months, (B) myeloma response at 10 months, (C) renal response at 3 months and (D) renal response at 10 months.
Acknowledgments
The authors thank their colleagues and data managers who contributed to data collection. The study was supported by the Austrian Forum Against Cancer.
Data Availability Statement
In case of reasonable request, please contact Heinz Ludwig at heinz.ludwig@extern.gesundheitsverbund.at .
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