Literature DB >> 35844990

Fatal renal diseases among patients with hematological malignancies: A population-based study.

Sen Li1, Kaixu Yu2, Ying Chen3, Wenjing Luo4, Yongqiang Zheng5, Yun Yang6, Xue Yang7, Xi Wang5, Xiaolan Gao5, Xindi Wang5, Bian Wu5.   

Abstract

Patients with hematological malignancies might be at high risk for renal diseases as evidenced by earlier studies. We aim to investigate the mortality and risk factors of deaths due to renal diseases in this population. A total of 831 535 patients diagnosed with hematological malignancies in the Surveillance, Epidemiology, and End Results (SEER) database in the United States from 1975 to 2016 were identified. Standardized mortality ratio (SMR) was evaluated based on the general population's mortality data gathered by the National Center for Health Statistics. The mortality rate associated with renal diseases was 94.22/100 000 person-years among patients with hematological malignancies (SMR = 3.59; 95% CI, 3.48-3.70]). The highest mortality rate of dying from renal diseases was observed among multiple myeloma (MM) patients (307.99/100 000 person-years; SMR = 7.98; 95% CI, 7.49-8.50), followed by those with chronic myeloid leukemia (142.57/100 000 person-years; SMR = 6.54; 95% CI, 5.63-7.60) and chronic lymphocytic leukemia (103.66/100 000 person-years; SMR = 2.51; 95% CI, 2.27-2.77). The SMRs increased with time and were found to be the highest 10 years after cancer diagnosis. Independent predictors associated with death from renal diseases were found to be older age, male gender, blacks, unmarried, and MM, using the Cox proportional hazards model. We call for enhanced coordinated multidisciplinary care between hematologists and nephrologists to reduce the mortality rate of renal diseases among patients with hematological malignancies.
© 2020 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd.

Entities:  

Keywords:  hematological malignancies; mortality; renal diseases; standardized mortality ratio

Year:  2020        PMID: 35844990      PMCID: PMC9175760          DOI: 10.1002/jha2.99

Source DB:  PubMed          Journal:  EJHaem        ISSN: 2688-6146


INTRODUCTION

Although the survival rate of patients with hematological malignancies has significantly improved in recent years, the incidence of kidney diseases among these patients is raising [1, 2]. These kidney diseases, which mainly include acute kidney injury (AKI), chronic kidney disease, proteinuria, nephrotic syndrome, and multiple myeloma (MM) nephropathy, are caused by the malignancy itself or by its treatment [3]. A set of Danish cohort studies including 37 267 people indicated that patients with MM, leukemia, and lymphoma were at 53%, 40%, and 31% risk of developing AKI within 5 years, respectively [4]. Another investigation comprising 163 071 cancer patients in Ontario, Canada evidenced that MM (26%) and leukemia (15%) patients exhibited a relatively high 5‐year incidence of developing AKI [5]. The occurrence of kidney diseases influences the treatment strategy, extends the period of hospital stay, decreases the patient's complete remission rate, and amplifies both treatment cost as well as mortality rate [6, 7, 8]. Earlier studies have investigated and categorized the pathogenesis of nephropathy among patients with hematological malignancies into three groups: the first category comprises nonspecific factors such as hypoperfusion; the second one involves the infiltration of tumors such as lymphoma or acute leukemia; and the third is related to therapies such as nephrotoxicity of chemotherapy and antibiotics [9]. In addition, cast nephropathy in patients suffering from MM may result in proteinuria and nephrotic syndrome owing to the deposition of light chain proteins [10]. This study was conducted to comprehensively analyze death due to renal diseases among patients with hematological malignancies involving a large population‐based cohort. The mortality rate due to renal diseases among patients with hematological malignancies was evaluated, and subgroups of patients linked to a greater risk of dying from renal diseases were identified.

PATIENTS AND METHODS

Data sources

This retrospective study was performed to identify patients suffering from hematological malignancies, the data for which were used from the Surveillance, Epidemiology, and End Results (SEER) database that documents information on cancer survival and incidence from population‐based cancer registries, covering approximately 26% of the US population [11]. The “public use” version of the database was opted, which comprised 18 registries starting from 1975 to 2016. To compare, the mortality data of the general US population from the National Center for Health Statistics spanning from 1969 to 2016 were used. This investigation was approved by the Institutional Review Board of the Tongji Medical College, Huazhong University of Science and Technology.

Patient population

A total of 831 535 patients diagnosed with hematological malignancies were included in this study. The exclusion criteria included: (a) information was exclusively collected from the death certificate, (b) autopsy only, and (c) lack of survival time. To exclude the influence of a secondary tumor on renal diseases, patients suffering from multiple primary tumors were eliminated in the type‐specific analysis. Only data for patients whose survival time was more than 100 000 person‐years have been presented. Therefore, data of patients suffering from acute monocytic leukemia, other acute leukemia, aleukemia, subleukemia, and not otherwise specific, other myeloid/monocytic leukemia, or other lymphocytic leukemia have not been presented.

Study variables

Variables extracted from the SEER database included sex (female and male); race (White, Black, and other including unknown); marital status (married; unknown; and unmarried including single, separated, divorced, widowed, unmarried, or domestic partner); age at diagnosis (0‐39, 40‐49, 50‐59, 60‐69, 70‐79, and 80+); type of hematological malignancies (MM and non‐MM); and the vital status at the last follow‐up (alive or dead). The survival time in certain patients, recorded as 0 months in the SEER database, was converted to one‐half of a month, although the patients did not survive for a full month. Moreover, the stage of cancer was not included in the study as the only stages of hematological malignancies are “distant” and “unstaged/unknown.” Besides, patients coded as “nephritis, nephrotic syndrome, and nephrosis (50160)” according to the International Statistical Classification of Diseases and Related Health Problems; the 10th revision (ICD‐10) that included glomerular diseases (N00–N07), renal failure (N17–N19), and other disorders of the kidney and ureter (N25–N27); the 9th revision (ICD‐9, 580–589); and the 8th revision (ICD‐8, 580–584) were considered to have died due to renal diseases [ 1].
FIGURE 1

Site distribution of deaths due to renal diseases among patients with hematological malignancies in SEER 18 registries as a function of age at diagnosis

Site distribution of deaths due to renal diseases among patients with hematological malignancies in SEER 18 registries as a function of age at diagnosis

Statistical analysis

The number of deaths caused by renal diseases divided by person‐years of survival was calculated as the mortality rate among cancer patients listed in the SEER database. These data of cancer patients were compared with that of the general population with similar characteristics such as age, sex, and race distribution. The standardized mortality ratios (SMRs) and 95% confidence intervals (95% CIs) were computed as described earlier [11]. Five‐year age ranges were utilized for standardization. SMRs are not comparable with each other, as the standard population may differ among subgroups [12]. To detect the risk factors linked to mortality caused by renal diseases among cancer patients, we developed a multivariate Cox proportional hazards model. Observations were censored if the patient did not die of renal diseases at the time of the last follow‐up [ 1‐4].
TABLE 1

Mortality due to renal diseases in patients with hematological malignancies by demographic characteristics

CharacteristicNumber of patients with cancer (%)Number of observed deaths from renal diseases (%)Person‐yearsMortality rate a SMR b (95% CI)
Age
0‐39114 793 (14%)114 (3%)1 062 514.5410.7319.76 (16.44‐23.74)
40‐4970 934 (9%)156 (4%)514 294.5030.3311.25 (9.62‐13.16)
50‐59125 305 (15%)392 (10%)772 216.8350.767.24 (6.56‐8.00)
60‐69178 854 (22%)844 (21%)880 814.7595.825.16 (4.83‐5.52)
70‐79195 206 (23%)1300 (32%)715 015.58181.813.56 (3.37‐3.76)
80+146 443 (18%)1199 (30%)308 646.71388.472.34 (2.21‐2.47)
Sex
Female370 089 (45%)1649 (41%)1 960 089.0884.133.58 (3.41‐3.76)
Male461 446 (55%)2356 (59%)2 293 413.83102.733.60 (3.46‐3.75)
Race
Black77 973 (9%)709 (18%)351 058.04201.964.82 (4.47‐5.18)
Other57 061 (7%)208 (5%)274 809.3375.694.40 (3.84‐5.04)
White696 501 (84%)3088 (77%)3 627 635.5485.123.35 (3.24‐3.47)
Year
1975‐198568 402 (8%)361 (9%)515 924.67101.764.60 (4.15‐5.10)
1986‐1995101 447 (12%)509 (13%)748 663.5884.383.63 (3.33‐3.96)
1996‐2006279 214 (34%)1791 (45%)1 833 379.7997.693.79 (3.62‐3.97)
2007‐2016382 472 (46%)1344 (34%)1 155 534.8887.463.17 (3.00‐3.34)
Marital status
Married435 993 (52%)2017(50%)2 305 815.6387.473.37 (3.23‐3.53)
Unknown58 168 (7%)297 (7%)292 349.42101.593.05 (2.72‐3.41)
Unmarried337 374 (41%)1691 (42%)1 655 337.88102.154.02 (3.84‐4.22)
All831 53540054 253 502.9294.163.59 (3.48‐3.70)

Abbreviations: CI, confidence interval; SMR, standardized mortality ratios.

Per 100 000 person‐years.

The SMRs were calculated as the ratios of observed to expected number of deaths. The observed values represented the number of deaths due to renal diseases in patients with hematological malignancies, and the expected values represented the number of individuals who died of renal diseases in general population, with the same distribution of age, sex, and race.

TABLE 4

Multivariable Cox regression analyses of deaths due to renal diseases in patients with hematological malignancies

All deaths from renal diseases
VariableHR95% CI P‐value
Age at diagnosis, years1.0721.069‐1.074<.001
Sex
MaleRef.
Female0.6340.593‐0.677<.001
Race
WhiteRef.
Black2.3632.169‐2.574<.001
Other1.040.903‐1.197.585
Marital status
MarriedRef.
Unknown1.0490.928‐1.186.445
Unmarried1.3991.306‐1.499<.001
Year
1975‐1985Ref.
1986‐19950.9290.808‐1.068.298
1996‐20061.2231.081‐1.382.001
2007‐20161.0810.951‐1.228.235
Type
Nonmultiple myelomaRef.
Multiple myeloma2.6532.472‐2.848<.001

Abbreviations: CI, confidence interval; HR, hazard ratio.

Mortality due to renal diseases in patients with hematological malignancies by demographic characteristics Abbreviations: CI, confidence interval; SMR, standardized mortality ratios. Per 100 000 person‐years. The SMRs were calculated as the ratios of observed to expected number of deaths. The observed values represented the number of deaths due to renal diseases in patients with hematological malignancies, and the expected values represented the number of individuals who died of renal diseases in general population, with the same distribution of age, sex, and race. Mortality due to renal diseases in patients with hematological malignancies by type and years since diagnosis Abbreviations: CI, confidence interval; SMR, standardized mortality ratios. This analysis was limited to the patients only with hematological malignancies, and types of hematological malignancies with the follow‐up time greater than 100 000 person years were displayed. Others comprised acute monocytic leukemia, other acute leukemia, aleukemia, subleukemia, and not otherwise specific, other myeloid/monocytic leukemia, and other lymphocytic leukemia. Mortality due to renal diseases in patients with hematological malignancies by type Abbreviations: CI, confidence interval; SMR, standardized mortality ratios. The patients only with single primary tumors were included in the type‐specific analysis. The data of patients with at least 100 000 person years were presented. Per 100 000 person‐years. Others comprised acute monocytic leukemia, other acute leukemia, aleukemia, subleukemia, and not otherwise specific, other myeloid/monocytic leukemia, and other lymphocytic leukemia Multivariable Cox regression analyses of deaths due to renal diseases in patients with hematological malignancies Abbreviations: CI, confidence interval; HR, hazard ratio. All statistical tests were two sided, and the values with P < .05 were considered to be statistically significant. The SEER*Stat version 8.3.6 and the R version 3.51 statistical software packages were used for all analyses.

RESULTS

Thus analyzed data revealed that 4005 deaths occurred due to renal diseases among 831 535 patients suffering from hematological malignancies followed for 4 253 502 person‐years (Table 1). The mortality rate was 94.16/100 000 person‐years, and the equivalent mortality rate among the general US population was 26.23/100 000 person‐years, which resulted in an SMR of 3.59 (95% CI, 3.48‐3.70). The mean follow‐up time was 5.12 years (range = 0.50‐41.92 years).

Characteristics linked to higher mortality rate due to renal diseases

As patients suffering hematological malignancies grew older, the mortality rate due to renal diseases raised, but the SMR was observed to decrease gradually. The highest mortality rate was found to be recorded among patients above 80 years of age (388.47/100 000 person‐years), and the SMR to be the highest among patients up to the age of 39 years (SMR = 19.76; 95% CI, 16.44‐23.74). Among the survivors with hematological malignancies, a higher mortality rate due to renal diseases was recorded in men (SMR = 3.60; 95% CI, 3.46‐3.75), Blacks (SMR = 4.82; 95% CI, 4.47‐5.18), unmarried patients (SMR = 4.02; 95% CI, 3.84‐4.22), and patients diagnosed from 1975 to 1985 (SMR = 4.60; 95% CI, 4.15‐5.10).

Mortality risk due to renal diseases overtime postdiagnosis

The SMRs reportedly increased with time from diagnosis among the survivors suffering from hematological malignancies overall (Table 2), and were found to be the highest 10 years after the initial diagnosis (SMR = 8.39; 95% CI, 7.62‐9.23).

Type of hematological malignancies linked to higher mortality rate due to renal diseases

Majority of deaths due to renal diseases resulted among patients with non‐Hodgkin's lymphomas, MM, and chronic lymphocytic leukemia (CLL) accounting for 84% of the total deaths (Figure 1). MM patients exhibited the highest mortality rate due to renal diseases (307.99/100 000 person‐years; SMR = 7.98; 95% CI, 7.49‐8.50), followed by those that occurred due to chronic myeloid leukemia (CML) (142.57/100 000 person‐years; SMR = 6.54; 95% CI, 5.63‐7.60) and CLL (103.66/100 000 person‐years; SMR = 2.51; 95% CI, 2.27‐2.77; Table 3).

Factors linked to death due to renal diseases

Multivariate Cox regression analysis proved that MM (hazard ratio [HR] = 2.653; 95% CI, 2.472‐2.848; P < .001), increasing age (HR = 1.072; 95% CI, 1.069‐1.074; P < .001), and diagnosis between 1996 and 2006 (HR = 1.223; 95% CI, 1.081‐1.382; P = .001) were independent predictors of death from renal diseases among patients suffering from hematological malignancies (Table 4). In addition, Black race (HR = 2.363; 95% CI, 2.169‐2.574; P < .001) and unmarried status (HR = 1.399; 95% CI, 1.306‐1.499; P < .001) were also factors found to be strongly linked to deaths due to renal diseases among these patients. Meanwhile, female gender (HR = 0.634; 95% CI, 0.593‐0.677; P < .001) can be considered to be a protective factor compared with male gender for deaths caused by renal diseases.

DISCUSSION

Earlier studies have shown a higher incidence of renal diseases among patients suffering from hematological malignancies; however, the risk of deaths due to renal diseases among this population has not been explored much. This study first provides evidence that the risk of death due to renal diseases among patients with hematological malignancies is about 3.6 times that of the general US population, and recognized the groups of patients linked to higher mortality risk owing to renal disease. Several studies have investigated the pathogenesis of renal diseases among patients suffering from hematological malignancies. Canet et al evidenced that renal diseases among patients suffering from hematological malignancies were caused due to direct drug‐induced nephrotoxicity as well as the complications of the disease [9]. Hypoperfusion and infection are common complications among patients suffering from hematological malignancies, and could lead to acute tubular necrosis, one of the major reasons for renal diseases among patients [7, 13]. In addition, for patients suffering renal diseases postcancer diagnosis, nephrotoxic antibiotics against infection and nephrotoxic chemotherapy drugs against hematological malignancies are known to worsen the renal diseases [14]. Patients with all types of hematological malignancies, especially MM, were found to be at a higher risk of death from renal diseases than the general US population. The incidence of MM has not been recorded to increase significantly of late, although the incidence of renal failure among patients suffering MM has tripled [1, 15, 16]. The multivariate analysis also indicated that MM patients were at a higher risk of death due to renal diseases than patients with other types of hematological malignancies. Monoclonal light chain proteins were the major cause of nephropathy among MM patients, which had toxic effects on glomeruli and tubules, and renal damage in MM most often was found to be tubular nephropathy [9, 17‐19]. Dehydration, hypercalcemia, sepsis, and nephrotoxic drugs have also been demonstrated to lead to the progression of renal diseases among MM patients [20, 21, 22]. In addition, CML patients exhibited a significantly high mortality rate due to renal diseases. This is attributable to the development of supportive care and chemotherapy such as tyrosine kinase inhibitors, which aid in prolonging the survival time of such patients [23, 24]; therefore, patients were more likely to die due to renal diseases. Once diagnosed, the risk of death due to renal diseases was found to increase overall among patients suffering from hematological malignancies. This was perhaps due to the longer survival time that led to greater use of the nephrotoxic drugs by patients, which in turn subjected them to a higher risk of death due to renal diseases [1]. Furthermore, a higher age has also been shown to quicken the progression of renal diseases among these cancer survivors [25]. Noteworthy is the first year of cancer diagnosis that represented a greater risk of death due to renal diseases for the majority of hematological malignancies except all the rest. This perhaps is caused by the aggressive treatment imparted immediately following the cancer diagnosis. The risk of patients suffering from hematological malignancies dying due to renal diseases raised with age at diagnosis, although SMR was found to decrease steadily. This may be due to the higher risk of death from cancer than that from renal diseases for elderly patients with hematological malignancies; therefore, most elderly patients had died due to hematological malignancies prior to dying from renal diseases. This multivariate analysis evidences that Blacks are at a higher risk of death due to renal diseases, which may be linked to the difference between the treatment options opted in distinct races. The differences in the risk of death due to renal diseases between different races are attributable to the economic status, medical level, and genetic factors, whereas the specific mechanism is yet to be studied further. Our study has several limitations, most of which are related to the SEER database. First, the database is deficient of accurate data regarding chemoradiotherapy, which renders it difficult to assess the influence of chemoradiotherapy on the prognosis of cancer patients. Second, the reasons for death documented as “Nephritis, Nephrotic Syndrome, and Nephrosis” comprised glomerular diseases, renal failure, other kidney disorders, and ureter. Accurate evaluation of whether the patient died from renal diseases or ureteral diseases could not be made. Third, due to a short follow‐up period, the risk of death due to renal diseases among patients diagnosed with hematological malignancies in recent decades was seriously miscalculated. In spite of these limitations, this study is the first large sample‐ and population‐based study on the risk of death due to renal diseases in patients suffering hematological malignancies. Hence, the results of this study are considered to be reliable and applicable to the rest of the population. In conclusion, our results indicated that all patients with hematological malignancies are at an increased risk of death due to renal diseases, which was found to rise from the time of cancer diagnosis. Hematologists should detect cancer patients with the abovementioned high‐risk factors at the earliest and focus more on the renal functions of patients during the cancer diagnosis, treatment for cancer, and follow‐up period posttreatment. Enhanced coordinated multidisciplinary care between hematologists and nephrologists becomes indispensable in case of the patients who have already developed renal diseases to reduce the mortality rate of renal diseases.

AUTHOR CONTRIBUTIONS

SL designed research. KY, CY, WJ, and YZ calculated data. YY, XY, XW, XG, and XW analyzed the result. SL and KY wrote the paper. All authors revised the final version.

CONFLICT OF INTEREST

The authors declare no conflict of interest.
TABLE 2

Mortality due to renal diseases in patients with hematological malignancies by type and years since diagnosis

Time since cancer diagnosis
Type a 0‐1 Year1‐5 Years5‐10 Years>10 Years
Myeloma
Number of deaths38837313949
Person‐years74 059157 22260 32421 811
SMR10.265.848.5214.57
95% CI9.29‐11.335.27‐6.467.21‐10.0611.01‐19.28
Acute lymphocytic leukemia
Number of deaths61004
Person‐years25 74170 07756 09777 778
SMR6.319.74014.18
95% CI2.83‐14.045.24‐18.1005.32‐37.77
Acute myeloid leukemia
Number of deaths6124512
Person‐years28 93044 60326 89124 466
SMR7.774.883.4616.28
95% CI6.05‐9.993.27‐7.291.44‐8.319.25‐28.67
Chronic myeloid leukemia
Number of deaths63622520
Person‐years22 16852 94429 02316 719
SMR7.534.636.5720.98
95% CI5.88‐9.643.61‐5.944.44‐9.7213.53‐32.52
Hodgkin lymphomas
Number of deaths19201534
Person‐years43 630138 230119 118160 393
SMR4.922.453.4413.16
95% CI3.17‐7.711.58‐3.802.07‐5.719.40‐18.41
Non‐Hodgkin lymphomas
Number of deaths348313254229
Person‐years218 522568 501383 906291 968
SMR4.171.813.157.66
95% CI3.76‐4.641.62‐2.022.79‐3.566.73‐8.72
Chronic lymphocytic leukemia
Number of deaths7116010059
Person‐years57 713165 393101 07756 548
SMR2.102.012.975.53
95% CI1.66‐2.651.72‐2.342.44‐3.624.28‐7.14
Others b
Number of deaths44231013
Person‐years14 65832 05721 28520 525
SMR7.152.903.008.70
95% CI5.32‐9.611.93‐4.371.61‐5.585.05‐14.99
All
Number of deaths1000985548420
Person‐years485 4221229.027797 720.2670 206
SMR5.492.793.808.39
95% CI5.16‐5.842.62‐2.973.50‐4.147.62‐9.23

Abbreviations: CI, confidence interval; SMR, standardized mortality ratios.

This analysis was limited to the patients only with hematological malignancies, and types of hematological malignancies with the follow‐up time greater than 100 000 person years were displayed.

Others comprised acute monocytic leukemia, other acute leukemia, aleukemia, subleukemia, and not otherwise specific, other myeloid/monocytic leukemia, and other lymphocytic leukemia.

TABLE 3

Mortality due to renal diseases in patients with hematological malignancies by type

Type a Number of deathsNumber of patientsPerson‐years b Mortality rate c SMR (95% CI)
Myeloma94994 524308 123.8307.997.98 (7.49‐8.50)
Chronic myeloid leukemia17027 289119 236.5142.576.54 (5.63‐7.60)
Chronic lymphocytic leukemia39064 765376 244.6103.662.51 (2.27‐2.77)
Acute myeloid leukemia10255 513123 221.082.786.96 (5.73‐8.45)
Non‐Hodgkin lymphomas1144276 3751 447 039.579.063.17 (2.99‐3.36)
Hodgkin lymphomas8848 207457 964.619.224.70 (3.81‐5.79)
Acute lymphocytic leukemia2030 456227 774.58.787.62 (4.92‐11.81)
Others d 9024 36087 544.6102.804.55 (3.70‐5.60)

Abbreviations: CI, confidence interval; SMR, standardized mortality ratios.

The patients only with single primary tumors were included in the type‐specific analysis.

The data of patients with at least 100 000 person years were presented.

Per 100 000 person‐years.

Others comprised acute monocytic leukemia, other acute leukemia, aleukemia, subleukemia, and not otherwise specific, other myeloid/monocytic leukemia, and other lymphocytic leukemia

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