OBJECTIVES: To investigate the clinicopathological characteristics and prognostic factors of pediatric Hodgkin lymphoma (HL). METHODS: A retrospective analysis was conducted on the clinical data of children with newly diagnosed HL from January 2011 to December 2023 at four hospitals: Fujian Medical University Union Hospital, Fujian Medical University Zhangzhou Hospital, First Affiliated Hospital of Xiamen University, and Fujian Children's Hospital. Patients were categorized into low-risk (R1), intermediate-risk (R2), and high-risk (R3) groups based on HL staging and pre-treatment risk factors. The patients received ABVD regimen or Chinese Pediatric HL-2013 regimen chemotherapy. Early treatment response and long-term efficacy were assessed, and prognostic factors were analyzed using the Cox proportional hazards regression model. RESULTS: The overall complete response (CR) rates after 2 and 4 cycles of chemotherapy were 42% and 68%, respectively. Compared with the ABVD regimen group, patients treated with the HL-2013 regimen in the R1 group showed significantly higher CR rates after both 2 and 4 cycles (P<0.05). However, no statistically significant differences in CR rates were observed between the two regimens in the R2 and R3 groups (P>0.05). The 5-year event-free survival (EFS) rate, overall survival rate, and freedom from treatment failure rate were 83%±4%, 97%±2%, and 88%±4%, respectively. Cox analysis indicated that the presence of a large tumor mass at diagnosis and failure to achieve CR after 4 cycles of chemotherapy were independent risk factors for lower EFS rates (P<0.05). CONCLUSIONS Pediatric HL generally has a favorable prognosis. The presence of a large tumor mass at diagnosis and failure to achieve CR after 4 cycles of chemotherapy indicate poor prognosis.
Humans ; Hodgkin Disease/pathology* ; Male ; Child ; Female ; Adolescent ; Retrospective Studies ; Child, Preschool ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Prognosis ; Proportional Hazards Models ; Survival Analysis ; Infant

OBJECTIVE: To analyze the gene mutation characteristics and survival time of patients with newly diagnosed acute myeloid leukemia (AML) based on next-generation sequencing(NGS) gene detection. METHODS: A retrospective analysis was conducted on the clinical data of 92 patients with AML (non APL) admitted to our hospital from January 2018 to May 2022. AML related genes tested were using NGS, the mutation characteristics and survival time of AML patients were analyzed. RESULTS: Among the 92 patients, 41 were males and 51 were females. A total of 38 types of gene mutations were detected. Six-two patients carried at least one gere mutation, while no gene mutations were detected in 30 patients. In the group with favourable prognosis (n =14), the frequencies of higher gene mutations were NRAS, KIT (21.43%, n =3), KRAS (14.29%, n =2). In the group with intermediate prognosis (n =64), the gene mutation frequencies from high to low were DNMT3A (18.75%, n =12), NPM1 (17.19%, n =11), IDH2, FLT3-ITD, CEBPA (12.50%, n =8), TET2 (10.94%, n =7). In the poor prognosis group (n =14), ASXL1, TP53, EZH2, NRAS had higher gene mutation frequency than others(14.29 %, n =2 ). Statistical analysis revealed that KIT had a relative hotspot of mutations in the intermediate-risk group, and DNMT3A had a relative hotspot of mutations in the high-risk group (P < 0.05). The correlation analysis of genes with high mutation rates in different prognostic groups, such as NRAS, KIT, IDH2, DNMT3A, NPM1, and FLT3-ITD, with prognosis found that KIT was a factor affecting OS (P < 0.05), while no significant differences were observed for the others(P >0.05). CONCLUSION The frequency of gene mutations is high in AML patients, 67.4% of the patients carried at least one gene mutation. The mutation frequency varies among different genes in patients with different karyotypes, and there are obvious dominant mutations. KIT and DNMT3A can be used as factors for evaluating the prognosis of AML.
Humans ; Leukemia, Myeloid, Acute/genetics* ; Nucleophosmin ; Mutation ; Prognosis ; Retrospective Studies ; Male ; Female ; High-Throughput Nucleotide Sequencing ; Middle Aged ; DNA Methyltransferase 3A ; Adult ; Aged ; Survival Analysis ; Proto-Oncogene Proteins c-kit/genetics*

OBJECTIVE: To describe survival trends and global patterns of esophageal cancer (EC) using survival data from population-based cancer registries. METHODS: We systematically searched PubMed, EMBASE, Web of Science, SEER, and SinoMed databases for articles published up to 31 December 2023. Eligible EC survival estimates were evaluated according to country or region, period, sex, age group, pathology, and disease stage. RESULTS: After 2010, Jordan exhibited the highest age-standardized 5-year relative survival rates (RSRs)/net survival rates (NSRs) at 41.1% between 2010 and 2014, while India had the lowest, at 4.1%. Survival rates generally improved with diagnostic age across most countries, with significant increases in South Korea and China, of 12.7% and 10.5% between 2000 and 2017, respectively. Survival was higher among women compared to men, ranging from 0.4%-10.9%. Survival rates for adenocarcinoma and squamous cell carcinoma were similar, differing by about 4%. In China, the highest age-standardized RSRs/NSRs was 33.4% between 2015 and 2017. Meanwhile, the lowest was 5.3%, in Qidong (Jiangsu province) between 1992-1996. CONCLUSION Global EC survival rates have improved significantly in recent decades, but substantial geographical, sex, and age disparities still exist. In Asia, squamous cell carcinoma demonstrated superior survival rates compared to adenocarcinoma, while the opposite trend was observed in Western countries. Future research should clarify the prognostic factors influencing EC survival and tailor prevention and screening strategies to the changing EC survival patterns.
Humans ; Esophageal Neoplasms/mortality* ; Registries ; Male ; Female ; Survival Analysis ; Middle Aged ; Survival Rate ; Aged ; Global Health

Background: Severe acute malnutrition (SAM) in children under five years remains a major global health concern. It carries a burden to the overall health of a child, contributes to mortality, and adds financial strain to the family and the hospital. The Philippine Integrated Management of Acute Malnutrition was established to address acute malnutrition in Filipino children. Objective: This study aimed to determine the factors affecting survival of patients admitted at Bicol Regional Training and Teaching Hospital (BRTTH) In-patient Therapeutic Care (ITC). Methods: This is a retrospective cohort study design utilizing survival analysis. Accrual period was from January 1, 2018 to December 31, 2018. Follow-up ended on March 31, 2019. There were 154 admissions and excluded 17 missing charts. Survival analysis was done utilizing STATA 14. Results: The prevalence of SAM requiring ITC admission was 3.0 percent. Majority belonged to 6-59 months of age (63%), with equal predilection for both sexes (1:1) and 71% came from the home province, Albay. Most of patients’ caretakers had middle educational attainment. Sixty-eight percent (68%) were new patients, 16% readmitted, 15% transferred from the Out-patient Therapeutic Care (OTC) and <1% relapsed. The top three most common complications and co-morbidities include: pneumonia, low electrolytes, and fever. Sixty-three percent (63%) of patients at the ITC had a desirable treatment outcome, of which, 8% were cured and 55% transferred to OTC. Undesirable outcomes accounted for 37% of the cases which included non-cured, defaulter, and died at 12%, 8%, and 17%, respectively. The risk of dying was higher in SAM patients with parents having middle and low educational attainment as compared to those with high educational attainment (2-5 folds to 100-200 folds). SAM patients presenting with hypovolemic shock were likely to die by 1.5-19 times (1.5-19x) as compared to those without. SAM patients with malignancy were more likely to die 4-44 folds as compared to patients without malignancy. Conclusion and Recommendations Educational attainment of parents, malignancy, and hypovolemic shock were significant predictors of mortality. We recommend prompt intervention by educating families, strengthen policies targeting socio-economic determinants, capacitate medical staff, refine current clinical practice guidelines and treatment pathways to reduce the number of children who die from severe acute malnutrition.
Severe Acute Malnutrition ; Survival Analysis

OBJECTIVE: To analyze the influence of type 2 diabetes mellitus (DM) on the prognosis of oral squamous cell carcinoma (OSCC) patients with surgical treatment. METHODS: The clinical data of 309 patients, who were diagnosed with OSCC and admitted to the same ward of Peking University Hospital of Stomatology from January 2014 to December 2017 were retrospectively reviewed, of whom, 104 were classified into DM group and 205 into non-DM group. The basic clinical data and follow-up results of the patients were analyzed and compared. Propensity score matching (PSM) was used to reduce confounding bias between the DM group and the non-DM group. Kaplan-Meier was used to calculate the survival rate of the two groups. Proportional hazards model was used to analyze the independent prognostic factors. The effect of glucose level on survival was analyzed. RESULTS: After PSM, 77 patients in each group were matched and the variables were balanced. There were statistically significant differences in postoperative oral dysplasia and local recurrence between the two groups (P < 0.05). There was no significant difference in survival analysis between the two groups, but the survival rate of the DM group had the tendency to be lower than that of the non-DM group after matching. Univariate analysis and multiva-riate analysis both revealed that the tumor stage was an independent factor influencing the overall survival rate and tumor-specific survival rate of the OSCC patients (P < 0.05), while diabetes had no significant influence on the survival of the OSCC patients (P>0.05). Multivariate analysis showed that tumor stage, triglyceride level, preoperative mean capillary fasting blood glucose, postoperative mean postprandial blood glucose were indepen-dent prognostic factors for overall survival in the DM group. Tumor stage and mean postoperative postprandial blood glucose were independent prognostic factors for tumor-specific survival in the DM group. The risk of postoperative complications and distant metastasis in the DM group with poor glycemic control was higher than that in the good glycemic controls. CONCLUSION There is no significant difference in overall survival and tumor-specific survival of the patients with or without DM. However, the possibility of mucosal dysplasia or local recurrence in the DM group is higher than that in the non-DM group. The tumor stage, triglyceride level and glycemic control of the patients with DM may affect their prognosis.
Humans ; Diabetes Mellitus, Type 2/complications* ; Mouth Neoplasms/mortality* ; Retrospective Studies ; Prognosis ; Carcinoma, Squamous Cell/mortality* ; Male ; Female ; Survival Rate ; Neoplasm Recurrence, Local ; Propensity Score ; Proportional Hazards Models ; Blood Glucose/analysis* ; Middle Aged ; Kaplan-Meier Estimate

OBJECTIVE: To assess the validity and effectiveness of parameter estimation using a time-dependent Weibull proportional hazards model for survival analysis containing partly interval censored data and explore the impact of different covariates on the results of analysis. METHODS: We established a time-dependent Weibull proportional hazards model using the Weibull distribution as the baseline hazard function of the model which incorporated time-varying covariates. Maximum likelihood estimation was employed to estimate the model parameters, which were obtained by optimization of the likelihood function. RESULTS AND CONCLUSION: Numerical simulation results showed that with higher proportions of precise observations across different sample sizes and parameter settings, the proposed model resulted in improved accuracy of parameter estimation with coverage probabilities approximating the theoretical expectation of 95%. As the sample sizes increased, the parameter biases of the model tended to decrease. Experiments with empirical data further validated the effectiveness of the model. Compared with the failure time data for each precisely observed individual, additional interval-censored data helped to obtain more effective estimates of the regression parameters. Comparison with the Cox model that included time-varying covariates further demonstrated the effectiveness of the time-dependent Weibull proportional hazards model for parameter estimation in survival analysis with partly interval censored data.
Proportional Hazards Models ; Survival Analysis ; Likelihood Functions ; Humans ; Computer Simulation ; Time Factors

Objective: To investigate the genetic and genomic profiling of juvenile myelomonocytic leukemia (JMML) and factors affecting its survival rate. Methods: Clinical characteristics, cytogenetics, molecular biology results and survival status of children with 27 JMML cases admitted to the Hematology Department of Children's Hospital, Capital Institute of Pediatrics from December 2012 to December 2021 were analyzed retrospectively, and the outcomes of the children were followed up. Kaplan-Meier method was used for survival analysis. Univariate analysis was used for analyzing factors affecting the overall survival (OS) rates of patients who received hematopoietic stem cell transplantation (HSCT). Log-Rank test was used for comparison of survival curves. Results: Among 27 JMML cases, there were 11 males and 16 females. The age of disease onset was 28 (11,52) months. There are 20 cases of normal karyotype, 4 cases of monosomy 7, 1 case of trisomy 8,1 case of 11q23 rearrangement and 1 case of complex karyotype. A total of 39 somatic mutations were detected.Those involved in RAS signal pathway were the highest (64%(25/39)), among which PTPN11 mutation was the most frequent (44% (11/25)). A total of 17 cases (63%) received HSCT, 8 cases (30%) did not receive HSCT, and 2 cases (7%) lost follow-up. For children receiving transplantation, the follow-up time after transplantation was 47 (11,57) months. The 1-year OS rate of high-risk transplantation group (17 cases) and high-risk non transplantation group (6 cases) was (88±8)% and (50±20)% respectively, with a statistically significant difference (χ²=5.01, P=0.025). The 5-year OS rate of the high-risk transplantation group was (75±11)%. The survival time of those who relapsed or progressed to acute myeloid leukemia after transplantation was significantly shorter than that of those who did not relapse (χ²=6.80, P=0.009). The OS rate of patients with or without PTPN11 mutation was (81±12) % and (67±19)% respectively (χ²=0.85, P=0.356). Conclusions: The main pathogenesis involved in JMML is gene mutation related to RAS signaling pathway, and the most common driver gene of mutation is PTPN11. Allogeneic HSCT can significantly improve the survival rate of high-risk JMML patients. The recurrence or progression after transplantation was related to poor prognosis.
Male ; Female ; Child ; Humans ; Child, Preschool ; Leukemia, Myelomonocytic, Juvenile/therapy* ; Retrospective Studies ; Survival Analysis ; Mutation ; Hematopoietic Stem Cell Transplantation

OBJECTIVE: To study the prognostic value of LPCAT1 in acute myeloid leukemia (AML). METHODS: TaqMan-based reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect relative expression of LPCAT1 in 214 newly diagnosed adult AML patients and 24 normal controls. Survival functions were estimated using the Kaplan-Meier method and were compared by the Log-rank test. A Cox proportional hazard regression model was used to identify prognostic factors. RESULTS: The expression level of LPCAT1 in adult AML was 34.37%(1.83%-392.63%), which was significantly lower than 92.81%(2.60%-325.84%) of normal controls (P<0.001). The prognostic significance of LPCAT1 was evaluated in 171 non-acute promyelocytic leukemia patients with complete clinical information and prognostic data. Survival analysis showed that the expression level of LPCAT1 had no significant effect on the prognosis of the whole cohort. However, in AML patients with FAB subtype M2 (AML-M2), the 2-year relapse-free survival (RFS) rate of patients with low LPCAT1 expression was 35.4%(95%CI: 0.107-0.601), which was significantly lower than 79.2%(95%CI: 0.627-0.957) of patients with high LPCAT1 expression (P=0.012). Multivariate analysis showed that low expression of LPCAT1 was an independent risk factor for RFS of AML-M2 patients (HR=0.355, 95%CI: 0.126-0.966, P=0.049). CONCLUSION In adult AML patients LPCAT1 shows low expression. Low LPCAT1 expression is an independent risk factor for RFS in M2-AML patients.
Humans ; Adult ; Prognosis ; Leukemia, Myeloid, Acute/metabolism* ; Survival Analysis ; Proportional Hazards Models ; Risk Factors ; 1-Acylglycerophosphocholine O-Acyltransferase

Objective: To investigate the factors influencing tumor-specific survival of early-onset locally advanced rectal cancer. Methods: All-age patients with primary locally advanced rectal cancer from the Surveillance, Epidemiology, and End Results (SEER) database (2010 to 2019) were included in this study. Early- and late-onset locally advanced rectal cancer was defined according to age of 50 years at diagnosis. Early-onset locally advanced rectal cancer was divided into five age groups for subgroup analyses. Age, sex, tumor-specific survival time and survival status of patients at diagnosis, pathological grade, TNM stage, perineural invasion, tumor deposits, tumor size, pretreatment CEA , radiotherapy, chemotherapy, and number of lymph node dissections were included. Progression-free survival (PFS) was analyzed and compared between patients with early- and late-onset rectal cancer. Results: A total of 5,048 patients with locally advanced rectal cancer were included in the study (aged 27-70 years): 1,290 (25.55%) patients with early-onset rectal cancer and 3,758 (74.45%) patients with late-onset rectal cancer. Patients with early-onset rectal cancer had a higher rate of perineural invasion (P<0.001), more positive lymph nodes dissected (P<0.001), higher positive lymph node ratios (P<0.001), and a higher proportion receiving preoperative radiotherapy (P=0.002). Patients with early-onset rectal cancer had slightly better short-term survival than those with late-onset rectal cancer (median (IQR ): 54 (33-83) vs 50 (31-79) months, χ²=5.192, P=0.023). Multivariate Cox regression for all patients with locally advanced rectal cancer showed that age (P=0.008), grade of tumor differentiation (P=0.002), pretreatment CEA (P=0.008), perineural invasion (P=0.021), positive number (P=0.004) and positive ratio (P=0.001) of dissected lymph nodes, and sequence of surgery and radiotherapy (P=0.005) influenced PFS. This suggests that the Cox regression results for all patients may not be applicable to patients with early-onset cancer. Cox analysis showed tumor differentiation grade (patients with low differentiation had a higher risk of death, P=0.027), TNM stage (stage III patients had a higher risk of death, P=0.025), T stage (higher risk of death in stage T4, P<0.001), pretreatment CEA (P=0.002), perineural invasion (P<0.001), tumor deposits (P=0.005), number of dissected lymph nodes (patients with removal of 12-20 lymph nodes had a lower risk of death, P<0.001), and positive number of dissected lymph nodes (P<0.001) were independent factors influencing PFS of patients with early-onset locally advanced rectal cancer. Conclusion: Patients with early-onset locally advanced rectal cancer were more likely to have adverse prognostic factors, but an adequate number of lymph node dissections (12-20) resulted in better survival outcomes.
Humans ; Prognosis ; Retrospective Studies ; Neoplasm Staging ; Extranodal Extension/pathology* ; Survival Analysis ; Rectal Neoplasms/surgery* ; Lymph Nodes/pathology*

OBJECTIVE: To compare the predictive ability of two extended Cox models in nonlinear survival data analysis. METHODS: Through Monte Carlo simulation and empirical study and with the conventional Cox Proportional Hazards model and Random Survival Forests as the reference models, we compared restricted cubic spline Cox model (Cox_RCS) and DeepSurv neural network Cox model (Cox_DNN) for their prediction ability in nonlinear survival data analysis. Concordance index was used to evaluate the differentiation of the prediction results (a larger concordance index indicates a better prediction ability of the model). Integrated Brier Score was used to evaluate the calibration degree of the prediction (a smaller index indicates a better prediction ability). RESULTS: For data that met requirement of the proportion risk, the Cox_RCS model had the best prediction ability regardless of the sample size or deletion rate. For data that failed to meet the proportion risk, the prediction ability of Cox_DNN was optimal for a large sample size (≥500) with a low deletion (< 40%); the prediction ability of Cox_RCS was superior to those of other models in all other scenarios. For example data, the Cox_RCS model showed the best performance. CONCLUSION In analysis of nonlinear low maintenance data, Cox_RCS and Cox_DNN have their respective advantages and disadvantages in prediction. The conventional survival analysis methods are not inferior to machine learning or deep learning methods under certain conditions.
Proportional Hazards Models ; Survival Analysis ; Calibration ; Computer Simulation ; Data Analysis