Abstract
Background
Septicemia is an important cause of treatment‐related mortality and treatment failure in pediatric acute lymphoblastic leukemia (ALL) in developing countries. A multicenter CCCG‐ALL‐2015 study was conducted in China and factors associated with septicemia and mortality were studied.
Methods
Patients participated in CCCG‐ALL‐2015 study from January 2015 to December 2017 were included. Patients with documented septicemia were identified from the Data Center and additional data were collected.
Results
A total of 4080 patients were recruited in the study and 527 patients with septicemia were identified (12.9%, 95% CI 11.9%‐13.9%). The intermediate risk (IR)/high risk (HR) group had significantly higher incidence of septicemia as compared with low risk (LR) group, 17.1% vs 9.1% (OR 2.07, 95% CI 1.71‐2.49, P < .001). Induction phase was the period with majority of septicemia episodes happened, 66.8% in LR and 56.1% in IR/HR groups. Gram‐positive bacteria accounted for 54.1%, gram‐negative bacteria 44.5%, and fungus 1.4% of positive cultures. Multidrug‐resistant organisms were detected in 20.5% of all organisms. The mortality rate after septicemia was 3.4% (95% CI 1.9%‐4.9%). Multiple logistic regression identified female gender, comorbid complications, and fungal infection as risk factors associated with mortality. Gram‐negative septicemia was associated with higher mortality, 4.9% vs 1.4% (OR 0.28, 95% CI 0.09‐0.88, P = .02). There was marked variation in the incidence of septicemia among the 18 centers, from 4.8% to 29.1%.
Conclusion
Overall the incidence and pattern of septicemia in this multicenter study in China was similar to the reports of western countries. The septicemia‐related mortality rate was low. There was marked variation in the incidence of septicemia among the centers.
Keywords: acute lymphoblastic leukemia, children, mortality, multicenter study, septicemia
The incidence and pattern of septicemia in this multicenter study in China was similar to reports of western countries. The septicemia related mortality rate was low. There was marked variation in the incidence of septicemia among the centers.
1. INTRODUCTION
Septicemia is one of the common complications after intensive chemotherapy, and it is also an important cause of treatment‐related mortality. With the widespread use of broad‐spectrum antibiotics, infection caused by multidrug‐resistant organisms is on the rising trend. The information of septicemia after chemotherapy in China is limited, and there is no national guidance on prevention and management of septicemia after chemotherapy. In January 2015, a multicenter study under China Children Oncology Group (CCCG) for acute lymphoblastic leukemia (ALL) was established, CCCG‐ALL‐2015 study. All the participating centers obtained ethical approval from their institutional ethics committee. The study had recruited 4080 subjects up to 31 December 2017. The study prospectively collected subjects' information including demographic data, leukemia‐related information, chemotherapy administration, treatment complications and treatment outcomes. There was also internal audit with at least once per year of site visit to study centers, and septicemia data were part of the mandatory monitoring during the audits. This study aimed at collecting data of documented septicemia, and analyzed the risk factors associated with the occurrence of septicemia and mortality. The result may provide guidance on preventive measures against septicemia in future studies.
2. METHODS
The chemotherapy protocol of CCCG‐ALL‐2015 study was based on St Jude Children's Research Hospital Total XV study with modification.1 Patients were stratified into low risk (LR), intermediate risk (IR), and high risk (HR) based on clinical, biological, and treatment responses. The study protocol did not include supportive care guidance on infection control or management. However, the protocol required mandatory co‐trimoxazole prophylaxis during chemotherapy except during high‐dose methotrexate phase. There were 20 centers participating in the study and patients' data were collected prospectively. Patients with documented septicemia were identified from the Study Data Center in early 2018 and further information about the septicemia were collected retrospectively from centers that agreed to participate in this sub‐study. Finally 18 centers could provide additional information for this septicemia study, including additional information on the clinical practice and infection control based on their center policies. Most centers followed international guidelines on management of infection and septicemia of cancer patients.2, 3, 4
2.1. Patients
From 1 January 2015 to 31 December 2017, eligible patients with diagnosis of ALL were recruited into CCCG‐ALL‐2015 study. Patients were below 18 years of age at the time of diagnosis. A written informed consent was obtained from patients or legal guardians. Other than patients' demographic data, leukemia information and compliance to chemotherapy, adverse events including septicemia were regular reporting events. The subjects with documented septicemia, including bacteria and fungus, were retrieved from the data file at the Study Data Center. Participation centers were invited to join this sub‐study and additional information not available in the core data file was collected.
2.2. Data collection
The Study Data Center retrieved the following data of documented septicemia: age, sex, risk stratification, chemotherapy phase at time of septicemia, comorbidities, and treatment outcome. Additional data were collected retrospectively for each subject from participation centers, including types of bacteria, sensitivity pattern, WBC and neutrophil counts at time of septicemia, concurrent morbidity, response to antimicrobials and outcome. Survey forms were also sent to participating centers to collect information about policy of infection management, including addition of extra beds in the wards, use of modular high efficiency particulate air (HEPA) filter isolation units, prophylactic use of antibiotics, intravenous immunoglobulin, and granulocyte colony‐stimulating factors (G‐CSF).
2.3. Chemotherapy treatment
Patients received multi‐agent chemotherapy at following treatment phases: induction (week 1‐7), consolidation (week 8‐15), continuation therapy and reinduction (week 16‐34), and maintenance phase (week 35‐125). Timing of septicemia at different phases of chemotherapy was analyzed. Concurrent morbidities and complications were also collected, namely pneumonia, peritonitis, respiratory failure, pancreatitis, liver derangement, gastrointestinal bleeding, septicemic shock, and cardiac failure.
Microbiological data based on blood cultures at the onset of fever were collected. Among the 18 centers, 11 centers performed blood cultures from both limbs, and most of the patients had peripheral inserted central catheters (PICC) during the intensive phases of chemotherapy, that is, one blood culture via PICC and the other from peripheral veins. These centers also inoculated blood samples in double bottles, aerobic and anaerobic. Seven centers collected blood culture from one site and the samples were inoculated into either single or double bottles. The volume of blood sample collected was according to instruction of suppliers and at least 3 mL of blood was collected. The detection for bacteria was by automatic detection systems. Eleven centers sent the specimen to laboratory within one hour, while seven centers sent to laboratory within 2 hours. The usual culture time was 5 to 7 days. Two centers had designated phlebotomists for blood collection, while nurses performing blood culture in the other centers.
2.4. Statistics
Data were analyzed using SPSS 16.0 statistical software. Categorical data were compared with chi‐squared test. Gender, Risk groups, and Ph ALL were tested for any differences for the incidence of septicemia. A univariate analysis was performed for risk factors leading to death, and multiple regression analysis would then be performed for those with significance. Fisher exact test was performed to comparison of different risk groups. P value < .05 would be considered as significant.
3. RESULTS
3.1. Demographic features
From 1 January 2015 to 31 December 2017, 4080 subjects were recruited into the CCCG‐ALL‐2015 study. There were 2438 males and 1642 females. Septicemia occurred in 527 patients, the incidence of septicemia was 12.9% (95% CI 11.9%‐13.9%) (527/4080). There was no difference in the incidence between genders, male 12.4% and female 13.7% (P > .05). The mean age at time of septicemia was 5.2 ± 3.8 years, and the median age was 4.0 years (range 0.3 to 16.7). Among the 527 patients, 30 patients developed septicemia twice during different phases of chemotherapy and one patient developed four episodes of septicemia at different phases with different organisms. Thus, a total of 560 episodes of septicemia were diagnosed.
3.2. Timing of septicemia
Among the 4080 patients recruited, 2150 patients were stratified as low risk (LR), and 1930 patients were diagnosed as intermediate or high risk (IR/HR). The incidence of septicemia was significantly higher among the IR/HR group as compared with LR group, 17.1% vs 9.1% (OR 2.06, 95% CI 1.71‐2.49, P < .001). Ph‐positive patients were stratified into IR/HR group and there were 166 Ph‐positive patients. Among the IR/HR group, the incidence of septicemia in Ph‐positive group was similar to Ph‐negative group, 20.5% vs 16.8% (OR 0.786, 95% CI 0.528‐1.169, P = .234). Of 205 septicemia episodes among the LR group, a majority of septicemia episodes occurred during the induction and consolidation phase. For the 355 episodes of septicemia in IR/HR group, induction phase was also the period with highest percentage of septicemia, reinduction phase was another peak period with septicemia. The reinduction phase in IR/HR group included high‐dose cytarabine. The timing of septicemia during different treatment phases is shown in Table 1.
Table 1.
Timing of septicemia in relation to treatment phase
| Low risk (n = 2150) | Intermediate/high risk (n = 1930) | |
|---|---|---|
| No. of patients with septicemia | 196 (9.1%) | 331 (17.1%) |
| No. of septicemia episodes | 205 | 355 |
| Induction (week 1‐7) | 137 (66.8%) | 199 (56.1%) |
| Gram positive | 82 | 118 |
| Gram negative | 60 | 94 |
| Consolidation (week 8‐15) | 29 (14.1%) | 26 (7.3%) |
| Gram positive | 16 | 15 |
| Gram negative | 13 | 11 |
| Continuation and reinduction (week 16‐34) | 19 (9.3%) | 90 (25.4%) |
| Gram positive | 14 | 48 |
| Gram negative | 5 | 45 |
| Maintenance (week 35‐125) | 20 (9.8%) | 40 (11.3%) |
| Gram positive | 9 | 18 |
| Gram negative | 12 | 23 |
3.3. Organisms isolated from blood culture
Gram‐positive bacteria was more commonly isolated, 54.1% (320 isolates), and gram‐negative organisms accounted for 44.5% (263 isolates). There were eight fungal isolates, four were yeast like, three candida species, one Penicillium marneffei. There were 20.5% (121 isolates) being multidrug resistant strains. The top 10 isolates were coagulase‐negative staphylococci (20.1%), Staphylococcus epidermidis (14.6%), E coli (11.5%, 29/68 were ESBL), klebsiella pneumoniae (8%, 7/47 were ESBL), Pseudomonas aeruginosa (7%, 2/41 were ESBL), Staphylococcus aureus (5.6%, 8/33 were MRSA), Streptococcus mitis (3.2%), Streptococcus pneumoniae (3%), salmonella (2%), and Enterobacter cloacae (1.7%). Multidrug‐resistant organisms were detected in 20.5% of all organisms.
3.4. Mortality and risk factors
Among 560 episodes of septicemia, there were 19 cases of death and the mortality rate was 3.4%. Among the 19 deaths, 12 were of IR/HR group and 7 were LR group. The timing of septicemia related death were at induction/consolidation phase in 12 cases, and another 7 cases during continuation phase. When the analysis was performed separately for LR and IR/HR groups at different treatment phases, there was no significant difference of mortality rate during the different chemotherapy phases for both of the two groups. Organisms isolated in patients with septicemia‐related death were E coli (n = 7), coagulase‐negative staphylococcus (n = 5), Pseudomonas aeruginosa (n = 3), Candida tropicalis (n = 2). The other organisms were haemophilus, Klebsiella pneumoniae, Streptococcus mitis, and Staphylococcus aureus. Gram‐negative bacteria accounted for mortality in 57.1% and gram‐positive 33.3% and fungus 9.5%.
Univariate analysis identified the following risk factors associated with death: female gender (5.4% vs 1.9%, P = .02), severe neutropenia with neutrophils <0.1 × 109/L (4.6% vs 1.1%, P = .02), presence of concurrent comorbidities (16.3% vs 1.1%, P < .001), gram‐negative bacteria (4.9% vs 1.4%, P = .02). The other factors were not found to be significantly associated with mortality: risk group, neutropenia more than 7 days, presence of fever, multiple organisms isolated in the blood culture (Table 2). The logistic regression analysis of the above factors was performed, and female gender, associated comorbidities and fungal infection were the significant factors (Table 3). Among the 560 episodes of septicemia, 37 episodes have multiple organisms isolated or fungal isolated. For the 527 episodes with single isolates of gram‐negative or gram‐positive organisms, gram‐negative septicemia was associated with higher death rate, 4.9% vs 1.9%. (OR0.281, 95% CI 0.089‐0.884, P = .02). Among the 560 episodes of septicemia, concurrent comorbidities were noted in 86 patients. Septicemia shock was present in 20 cases, pancreatitis 14 cases, liver derangement 11 cases, electrolyte disturbances in 9 cases, disseminated intravascular coagulation in 7 cases.
Table 2.
Mortality rate and risk factors
| Group | N = 560 | Death (n = 19) | P value | OR | 95% CI for OR | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Gender | ||||||
| Male | 318 | 6 (1.9%) | .02 | 2.95 | 1.11 | 7.88 |
| Female | 242 | 13 (5.4%) | ||||
| Risk group | ||||||
| LR | 205 | 7 (3.4%) | .98 | 0.99 | 0.38 | 2.56 |
| IR/HR | 355 | 12 (3.4%) | ||||
| Fever | ||||||
| Yes | 556 | 19 (3.4%) | 1.00 | 0.97 | 0.95 | 0.98 |
| No | 4 | 0 (0%) | ||||
| Severe neutropeniaa | ||||||
| Yes | 369 | 17 (4.6%) | .03 | 0.22 | 0.05 | 0.96 |
| No | 191 | 2 (1.1%) | ||||
| Neutropenia ≥7 d | ||||||
| Yes | 187 | 6 (3.2%) | .87 | 1.09 | 0.41 | 2.92 |
| No | 373 | 13 (3.5%) | ||||
| Multidrug resistant | ||||||
| Yes | 121 | 7 (5.8%) | .15 | 0.46 | 0.18 | 1.19 |
| No | 439 | 12 (2.7%) | ||||
| Concurrent comorbidities | ||||||
| Yes | 86 | 14 (16.3%) | <.001 | 0.06 | 0.02 | 0.16 |
| No | 474 | 5 (1.1%) | ||||
| Fungal infection | ||||||
| Yes | 8 | 2 (25%) | .03 | 0.10 | 0.02 | 0.51 |
| No | 552 | 17 (3.1%) | ||||
| Multiple organisms | ||||||
| Yes | 31 | 2 (6.5%) | .28 | 0.48 | 0.11 | 2.18 |
| No | 529 | 17 (3.2%) | ||||
| Gram stainb | ||||||
| Positive | 279 | 4 (4.9%) | .02 | 0.28 | 0.09 | 0.88 |
| Negative | 244 | 12 (1.4%) | ||||
Neutrophil counts <0.1 × 109/L.
Only limited to pure growth cases.
Table 3.
Multiple logistic regression on factors related to death after septicemia
| B | SE | Wald | df | sig | Exp(B) | 95% CI for Exp(B) | ||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Gender | −1.23 | 0.54 | 5.17 | 1 | 0.02 | 0.29 | 0.10 | 0.84 |
| Comorbidities | 2.96 | 0.59 | 24.31 | 1 | <0.001 | 19.22 | 5.94 | 62.22 |
| Fungemia | 3.57 | 1.18 | 9.18 | 1 | 0.002 | 35.57 | 3.53 | 358.37 |
| Severe neutropenia | 0.77 | 0.79 | 0.93 | 1 | 0.34 | 2.15 | 0.45 | 10.25 |
| Gram negative | 1.03 | 0.62 | 2.76 | 1 | 0.09 | 2.81 | 0.83 | 9.52 |
3.5. Center variability in septicemia incidences
Figure 1 shows the variation in the incidences of septicemia among the 18 centers, from 4.8% to 29.1%. Subsequent survey to the participating centers obtained further information for analysis. Center policies appeared to affect the incidence of septicemia. Centers allowed additional beds opened in the ward due to full occupancy had higher incidence of septicemia (Table 4). Centers with practice of using modular HEPA filter units in the wards for patients with severe neutropenia were having lower incidence of septicemia. Prophylactic use of G‐CSF at time of neutropenia (neutrophils <0.5 × 109/L) was also associated with lower incidence of septicemia. Similarly, prophylactic antibiotics and intravenous immunoglobulin were also associated with lower incidence of septicemia. When analysis was done on association of above factors with death, using modular HEPA filter was found to be the only factor significantly associated with death.
Figure 1.
Incidences of septicemia among the 18 centers
Table 4.
Center policies and septicemia
| Factors | Septicemia (n = 527) | P value | OR | 95% CI for OR | Death (n = 19) | P value | OR | 95% CI for OR | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | Lower | Upper | |||||||
| Additional beds | ||||||||||
| Yes | 326 (16.7%) | <.001 | 0.52 | 0.43 | 0.63 | 15 (4.6%) | .12 | 0.42 | 0.14 | 1.29 |
| No | 201 (9.5%) | 4 (2.0%) | ||||||||
| HEPA units | ||||||||||
| Yes | 95 (6.7%) | <.001 | 2.69 | 2.13 | 3.39 | 9 (9.5%) | .003 | 0.23 | 0.09 | 0.57 |
| No | 432 (16.2%) | 10 (2.3%) | ||||||||
| GCSF | ||||||||||
| Prophylactic | 153 (9.4%) | <.001 | 1.73 | 1.42 | 2.11 | 6 (3.9%) | .80 | 0.88 | 0.33 | 2.37 |
| No prophylactic | 374 (15.2%) | 13 (3.5%) | ||||||||
| IVIG | ||||||||||
| Prophylactic | 76 (8.7%) | <.001 | 1.73 | 1.34 | 2.23 | 4 (5.3%) | .40 | 0.62 | 0.20 | 1.92 |
| No prophylactic | 451 (14.1%) | 15 (3.3%) | ||||||||
| Prophylactic antibiotics | ||||||||||
| Yes | 68 (7.0%) | <.001 | 2.30 | 1.76 | 2.99 | 5 (3.3%) | .08 | 0.39 | 0.14 | 1.14 |
| No | 459 (14.8%) | 14 (3.7%) | ||||||||
4. DISCUSSION
ALL is the commonest childhood malignancy and the 5‐year event‐free survival (EFS) is now approaching 90% in developed countries.5, 6, 7 However, the survival outcome is still suboptimal in developing countries.8, 9 A recent multicenter study from China reported 5‐year EFS of 79.9%.10 Septicemia is an important cause of treatment‐related mortality. St Jude Children's Research Hospital reported 78% 10‐year survival with the Total XIII Study, and second malignancy was the most important cause of treatment failure.11 In Turkey, a similar Total XIII protocol was adopted and the 5‐year EFS was 77%. The induction death was 12.3% and infection was the most important cause of death.12 In India, septicemia was also reported to be an important cause of death, accounting for 29.7% of deaths.13 In the multicenter report of ALL from China, non‐relapse mortality during remission was 2.9% and infection was the cause of death in 73.4%.10 Severe infection during chemotherapy is associated with mortality and also increase in medical cost; from prolonged hospitalization, ICU care, use of expensive antibiotics, and other supportive treatment. The high treatment cost is one of the prohibitory factor for completion of chemotherapy treatment in developing countries. In USA, a study showed that patients with ALL and septicemia had more than double of the treatment expense due to longer hospitalization.14 Septicemia increases the medical expense and economic burden of the families, and prevention of septicemia may facilitate the completion of planned treatment and thus the cure rate.
The overall incidence of septicemia in this study was 12.9%. A study of 6220 patients from USA reported the incidence of septicemia of 12.6%, however, the study included also patients with acute myeloid leukemia.14 In the previous reports of ALL studies in China, septicemia was reported at higher incidence and also an important cause of death.15 In this study, patients treated with IR/HR arm chemotherapy was associated with higher incidence of septicemia (17.1% vs 9.1%, P < .001). The IR/HR group received more intensive treatment, the more severe marrow suppression led to higher chance of infection. Ph‐positive patients received IR arm chemotherapy combined with tyrosine kinase inhibitors, imatinib or dasatinib. There was previous report of higher incidence of infection in Ph ALL patients treated with combination of tyrosine kinase inhibitor and chemotherapy. EsPhALL 2010 study reported 31% of patients developed infection.16 In the current study, we did not observe higher incidence of septicemia in Ph ALL patients as compared with other non‐Ph positive IR patients, 20.5% vs 16.8% (P = .23). The higher incidence of infection in Ph‐positive cases in other study might be related to a more intensive chemotherapy backbone.
At the induction phase, patients were at highest risk of infection due to the underlying active leukemia and intensive chemotherapy. During the induction phase, patients also underwent many invasive procedures such as PICC insertion, bone marrow aspiration, and lumbar puncture. The family might not be familiar with the infection control measures enhancing education to parents on infection control and sterile procedures are necessary. The other peak period of septicemia in IR/HR group was at re‐induction phase at week 32‐34. This phase of treatment included longer period of high‐dose dexamethasone and high‐dose cytarabine which may lead to more severe mucosal damage and secondary infection. Prophylactic antibiotics and close monitoring in hospital may lower the high rate of septicemia. For patients already discharged from hospitals, education on early warning signs of infection and seeking early medical attention may reduce mortality. Doctors at Emergency Departments should receive training on prompt management of patients with febrile neutropenia.
The types of isolates reported in literature varied with centers. Centers exposed more frequently to antibiotics are associated with more gram‐positive organisms, and also more commonly with resistant strains of gram‐negative organisms.17, 18 In the current study, there was higher percentage of gram‐positive organism isolated. The types of organisms isolated were similar to other reports, coagulase‐negative staphylococcus and Staphylococcus epidermidis were the top two organisms, followed by E coli and klebsiella. Fungemia was identified in only eight cases and this might be underestimated as isolation of fungus in blood culture usually has lower yield. The choice of antibiotics usually based on the clinical conditions and past experience of drug sensitivity pattern in the centers. The 2010 IDSA guideline recommended the monotherapy of lactamase antibiotics, piperacillin, and carbapenam. However, for patients with chest infection or soft tissue infection, vancomycin should be instituted early.2 In this study, 20.5% of the isolates were multidrug resistant. E coli isolates had a high ESBL positivity at 42.7% and the klebsiella also had 14.9% being ESBL positive. MRSA was also prevalent in 24.3% of Staphylococcus aureus isolates. Early switch or addition of carbepenam or vancomycin should be considered in centers with high incidence of resistant strains.
The death rate from septicemia in the current study was 3.2%. In a previous report from Shanghai 10 years ago, the death rate was 15.5%.19 The improvement in outcome of septicemia is probably related to early recognition of sepsis and institution of potent antibiotics. Logistic regression analysis for the factors associated with death was performed. Female gender, fungal infection, and the presence of comorbidities were the risk factors to death. The reason why females had higher death rate (5.4% vs 1.9%) was not clear. The presence of comorbidities with impaired organ function put the patients at higher risk of death. In the 2010 IDSA guideline, the presence of comorbidities such as hypotension, pneumonia, and neurological symptoms are also regarded as high risk with poor prognosis.2 The positive fungal culture was low in the study, but it was associated with 25% mortality. Use of prophylactic anti‐fungal agents may be considered but there is chance of increase in drug resistant. Gram‐negative septicemia was associated with higher death rate, 4.9% vs 1.4%. Gram‐negative septicemia are more aggressive and there are also more resistant strains, early admission into ICU for close monitoring should be considered.
In the CCCG‐ALL‐2015 study, there was marked variability of incidence of septicemia, from 4.8% to 29.1%. In recent years in China, some centers could not cope with the high service demand and the hematology wards were overcrowded. Addition of extra beds in the wards have been practiced in some centers. Some centers also equipped with modular HEPA filter units in the wards trying to reduce infection. Prophylactic use of quinolones to prevent infection after chemotherapy have been reported to be successful.20, 21, 22 However, quinolone is not allowed to be used in children in China yet. Some centers started to use beta lactamase antibiotics as prophylaxis during the neutropenia phase. Prophylactic use of G‐CSF after achieving remission and intravenous immunoglobulin was also practiced in some centers. The above measures appeared to have beneficial effects of reducing incidence of septicemia in our cohort. However, these measures should be studied in a more scientific approach, and randomized control trials should be performed.
Our study is the largest childhood ALL study in China with over 4000 patients recruited. We collected the diagnosis of septicemia prospectively with regular internal audit to confirm the validity. However, the information on septicemia from this research study might not reflect the real world situation in non‐research setting. The septicemia‐related information was collected retrospectively which might not be complete and with recall bias. The wide variation in the incidence of septicemia among the centers suggested center effect.
In summary, the incidence and pattern of septicemia in this multicenter study in China was similar to reports of western countries. The septicemia‐related mortality rate was low. There was marked variation in the incidence of septicemia among the centers which might be related to different practice of infection prophylaxis. Further studies are required to look into factors which might influence the septicemia incidence and mortality.
ACKNOWLEDGMENT
We are grateful for support from VIVA‐China Children's Cancer Foundation.
Zhu Y, Yang R, Cai J, et al. Septicemia after chemotherapy for childhood acute lymphoblastic leukemia in China: A multicenter study CCCG‐ALL‐2015. Cancer Med. 2020;9:2113–2121. 10.1002/cam4.2889
Yiping Zhu and Rong Yang are contributed equally to the manuscript.
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.