The impact of surgical volume on outcomes in newly diagnosed colorectal cancer patients receiving definitive surgeries.

Colorectal cancer (CRC) patients who receive cancer surgeries from higher-volume providers may have better outcomes. However, the definitions of surgical volume may affect the results. We aim to analyze the effects of different definitions of surgical volume on patient outcomes. We conducted a nationwide population-based study in Taiwan that enrolled all patients who underwent definitive surgery for newly diagnosed CRC. We used three common definitions of surgical volume: total volume means the total surgical number conducted by the same provider during the study period; cumulative volume was calculated as the number of operations the surgeon performed before the index procedure; annual volume was calculated as the number of times the surgeon had been responsible for surgery during the index year. In this study, we included 100,009 newly diagnosed CRC patients, including 55.8% males, of median age 66 years at diagnosis (range 20-105 years). After adjustment for the patient and provider characteristics, we found that CRC patients receiving definitive surgery by higher-volume providers had better outcomes, especially where surgeon volume may play a more important role than hospital volume. The cumulative volume could predict the 5-year mortality of the study cohort better than the total and annual volume.

Risk factors of early disease progression and decreased survival for multiple myeloma patients after upfront autologous stem cell transplantation.

Multiple myeloma (MM) stands as the second most prevalent hematological malignancy, constituting approximately 10% of all hematological malignancies. Current guidelines recommend upfront autologous stem cell transplantation (ASCT) for transplant-eligible MM patients. This study seeks to delineate factors influencing post-ASCT outcomes in MM patients. Our cohort comprised 150 MM patients from Taipei Veterans General Hospital, with progression-free survival (PFS) as the primary endpoint and overall survival (OS) as the secondary endpoint. A Cox proportional hazards model was employed to discern potential predictive factors for survival. ASCT age ≥ 65 (hazard ratio [HR] 1.94, 95% confidence interval [CI] 1.08-3.47) and the presence of extramedullary disease (HR 2.53, 95% CI 1.53-4.19) negatively impacted PFS. Conversely, treatment response ≥ VGPR before ASCT (HR 0.52, 95% CI 0.31-0.87) and total CD34+ cells collected ≥ 4 × 106 cells/kg on the first stem cell harvesting (HR 0.52, 95% CI 0.32-0.87) were positively associated with PFS. For OS, patients with ISS stage III (HR 2.06, 95% CI 1.05-4.04), the presence of extramedullary disease (HR 3.92, 95% CI 2.03-7.58), light chain ratio ≥ 100 before ASCT (HR 7.08, 95% CI 1.45-34.59), post-ASCT cytomegalovirus infection (HR 9.43, 95% CI 3.09-28.84), and a lower conditioning melphalan dose (< 140 mg/m2; HR 2.75, 95% CI 1.23-6.17) experienced shorter OS. In contrast, post-ASCT day + 15 absolute monocyte counts (D15 AMC) > 500/µl (HR 0.36, 95% CI 0.17-0.79) and post-ASCT day + 15 platelet counts (D15 PLT) > 80,000/µl (HR 0.48, 95% CI 0.24-0.94) were correlated with improved OS. Significantly, early PLT and AMC recovery on day + 15 predicting longer OS represents a novel finding not previously reported. Other factors also align with previous studies. Our study provides real-world insights for post-ASCT outcome prediction beyond clinical trials.

The influence of hospital volume and physician volume on early mortality in acute promyelocytic leukemia patients.

Acute promyelocytic leukemia (APL) is a highly curable hematologic malignancy in the era of all-trans retinoic acid (ATRA) combination treatment. However, only a modest change in early mortality rate has been observed despite the wide availability of ATRA. In addition to the clinical characteristics of APL patients, studies on the hospital volume-outcome relationship and the physician volume-outcome relationship remained limited. We aim to evaluate the association between hospital and physician volume and the early mortality rate among APL patients. The patients were collected from Taiwan's National Health Insurance Research Database (NHIRD). Early mortality is defined as death within 30 days of diagnosis. Patients were categorized into four groups according to individual cumulative hospital and physician volume. The risk of all-cause mortality in APL patients with different cumulative volume groups was compared using a Cox proportional hazard model. The probability of overall survival was estimated using the Kaplan-Meier method. All 741 patients were divided into four quartile volume groups. In the multivariate analysis, only physician volume was significantly associated with early mortality rate. The physician volume of the highest quartile was a protective factor for early mortality compared with the physician volume of the lowest quartile (HR 0.10, 95% CI 0.02-0.65). Hospital characteristics were not associated with early mortality. In the sensitivity analyses, the results remained consistent using two other different definitions of early mortality. Higher physician volume was independently associated with lower early mortality, while hospital volume was not. Enhancing the clinical expertise of low-volume physicians may ensure better outcomes.

Severity of Complications and Duration of Type 2 Diabetes and the Risk of Cancer: A Population-based Study.

BACKGROUND: The literature on the association between diabetes severity and cancer risk is limited and inconclusive. The study aimed to evaluate the association between the adapted Diabetes Complications Severity Index (aDCSI) and the duration of type 2 diabetes and cancer risk. METHODS: Patients aged 20 years or older with newly diagnosed type 2 diabetes between January 1, 2007 and December 31, 2011 were identified from Taiwan National Health Insurance claims data. Standardized incidence ratios (SIRs) were calculated to compare cancer incidence in people with diabetes to that in the general population. Poisson regression was used to examine whether SIRs differed by age, sex, aDSCI, and duration of diabetes. RESULTS: A total of 756,547 patients were included, with a median follow-up of 8.8 years. Excluding the first year after diagnosis, the SIR for overall cancer was 1.18(95% CI 1.17-1.19). Higher aDCSI was associated with increased SIRs for overall(SIR ratio 1.03(1.02-1.03) per point increase), head and neck(1.03(1.01-1.04)), liver(1.04(1.03-1.05)), pancreas(1.03(1.00-1.05)), kidney(1.13(1.10-1.15)) and leukemia(1.09(1.06-1.13)). There was no association between aDCSI and colorectal, extrahepatic biliary tract, uterus and thyroid cancer, and a negative association with breast cancer(0.97(0.95-0.98)). Type 2 diabetes duration was associated with increased SIRs for overall (1.01(1.00-1.02) per year increase), head and neck(1.03(1.01-1.05)) and liver cancer(1.04(1.02-1.05)). CONCLUSIONS: The heterogeneity in the association between diabetes severity and diabetes-related cancers suggests diverse underlying connection. IMPACT: Adopting distinct approaches in further research and prevention strategies for different kinds of diabetes-related cancers is important.

Hospital partnership and patient outcomes among postacute patients with stroke.

OBJECTIVES: Postacute care (PAC) heavily relies on effective connection between acute and postacute providers. However, little is known about whether and to what extent providers' patient-sharing relationships influence patient outcomes. This study aimed to examine whether patients with stroke who were discharged to PAC hospitals with which the originating hospital had a strong patient-sharing relationship have a lower rate of rehospitalization and lower mortality risk. STUDY DESIGN: This population-based retrospective cohort study used the Taiwan National Health Insurance Research Database. A total of 1988 patients initially hospitalized for stroke between July 1, 2017, and June 30, 2018, who were newly discharged to 193 PAC hospitals from 175 originating hospitals were included. METHODS: We described the partnership between originating acute hospitals and PAC hospitals using tie strength and referral concentration. The main outcome included unplanned readmission and mortality. Hierarchical logistic regression analysis and Cox proportional hazards models were applied. RESULTS: A dose-response relationship was clearly observed between tie strength and patient outcomes. Patients with stroke who were discharged to a PAC hospital that had the strongest tie strength with the originating hospital were least likely to be readmitted and had the lowest mortality risk. Moreover, patients who received care from hospital pairs with highly or moderately concentrated referrals also had lower readmission and mortality risk. CONCLUSIONS: A greater number of shared patients and a more concentrated referral linkage between acute and PAC providers may reduce potential adverse outcomes in PAC patients. Instead of attaining more partners, PAC policies should encourage providers to strengthen their patient-sharing relationship with their existing PAC partners.

Adapted Diabetes Complications Severity Index and Charlson Comorbidity Index in predicting all-cause and cause-specific mortality among patients with type 2 diabetes.

INTRODUCTION: Adapted Diabetes Complications Severity Index (aDCSI) is a commonly used severity measure based on the number and severity of diabetes complications using diagnosis codes. The validity of aDCSI in predicting cause-specific mortality has yet to be verified. Additionally, the performance of aDCSI in predicting patient outcomes compared with Charlson Comorbidity Index (CCI) remains unknown. RESEARCH DESIGN AND METHODS: Patients aged 20 years or older with type 2 diabetes prior to January 1, 2008 were identified from the Taiwan National Health Insurance claims data and were followed up until December 15, 2018. Complications for aDCSI including cardiovascular, cerebrovascular and peripheral vascular disease, metabolic disease, nephropathy, retinopathy and neuropathy, along with comorbidities for CCI, were collected. HRs of death were estimated using Cox regression. Model performance was evaluated by concordance index and Akaike information criterion. RESULTS: 1,002,589 patients with type 2 diabetes were enrolled, with a median follow-up of 11.0 years. After adjusting for age and sex, aDCSI (HR 1.21, 95% CI 1.20 to 1.21) and CCI (HR 1.18, 1.17 to 1.18) were associated with all-cause mortality. The HRs of aDCSI for cancer, cardiovascular disease (CVD) and diabetes mortality were 1.04 (1.04 to 1.05), 1.27 (1.27 to 1.28) and 1.28 (1.28 to 1.29), respectively, and the HRs of CCI were 1.10 (1.09 to 1.10), 1.16 (1.16 to 1.17) and 1.17 (1.16 to 1.17), respectively. The model with aDCSI had a better fit for all-cause, CVD and diabetes mortality with C-index of 0.760, 0.794 and 0.781, respectively. Models incorporating both scores had even better performance, but the HR of aDCSI for cancer (0.98, 0.97 to 0.98) and the HRs of CCI for CVD (1.03, 1.02 to 1.03) and diabetes mortality (1.02, 1.02 to 1.03) became neutral. When aDCSI and CCI were considered time-varying scores, the association with mortality was stronger. aDCSI had a strong correlation with mortality even after 8 years (HR 1.18, 1.17 to 1.18). CONCLUSIONS: The aDCSI predicts all-cause, CVD and diabetes deaths but not cancer deaths better than the CCI. aDCSI is also a good predictor for long-term mortality.

Risk Factors and Outcomes of Stem Cell Mobilization Failure in Multiple Myeloma Patients.

Introduction: Autologous hematopoietic stem cell transplantation (ASCT) is a well-established treatment for patients with multiple myeloma (MM), and adequate stem cell collection must be assured before ASCT. However, prediction of poor mobilizers (PMs) is still difficult despite several risk factors for mobilization failure having been identified. Methods: We retrospectively analyzed MM patients at Taipei Veterans General Hospital in Taiwan who underwent stem cell collection between October 2006 and August 2020. A CD34+ cell collection of <1 × 106 cells/kg was defined as a mobilization failure. The primary endpoint was mobilization failure. The secondary endpoint was overall survival (OS). Odds ratios (ORs) and 95% confidence intervals (CIs) for mobilization failure were calculated using a logistic regression model. The cumulative incidence of mortality was estimated using the Kaplan-Meier method. Results: In the multivariate analysis, absolute monocyte count <500/µL (adjusted OR 10.75, 95% CI: 1.82-63.57, p = 0.009), platelet count <150,000/µL (adjusted OR 12.49, 95% CI: 2.65-58.89, p = 0.001) before mobilization, and time interval from diagnosis to stem cell harvest ≥180 days (adjusted OR 7.69, 95% CI: 1.61-36.87, p = 0.011) were risk factors for PMs. PM patients had poorer OS compared to patients with successful stem cell collection in the univariate analysis (log-rank test p = 0.027). The predicted probability of PMs was estimated by the multiple logistic regression model with a sensitivity of 84.6% and a specificity of 84.0%. Conclusion: Absolute monocyte count <500/µL, platelet count <150,000/µL, and treatment duration more than 180 days before stem cell mobilization are risk factors for unsuccessful stem cell collection. Our prediction models have high sensitivity and specificity for mobilization failure prediction and allow for early interventions for possible PMs.

Herpes zoster prophylaxis: Essential for treating newly diagnosed multiple myeloma patients.

BACKGROUND: Multiple myeloma (MM) is known for its immune disturbance and patients suffering from MM are thus vulnerable to opportunistic infections, including herpes zoster (HZ). As HZ infection remarkably affects patients' quality of life and poses huge economic burdens on the health system, we aim to identify the risk factors of HZ infection and evaluate the effects of different dosages, types, and durations of anti-HZ prophylaxis drugs to prevent HZ infection. METHODS: 551 MM patients at Taipei Veterans General Hospital in Taiwan between January 1, 2009 and August 31, 2021 were restrospectively analyzed. The patients' baseline characteristics were recorded. The primary endpoint of the study was the incidence of HZ infection among the studied patient population. Due to the lack of cost coverage from Taiwanese public health insurance on HZ prophylaxis drugs, the use of anti-HZ drugs mainly depends on physicians' preferences and patients' choices. RESULTS: In our study, prophylaxis was given to 283 of the patients. In the multivariate analysis, we included non-prophylaxis, age ≥ 60, corrected serum calcium ≥12 mg/dl, serum creatinine ≥2 mg/dl, serum ß2-microglobulin ≥5500 mg/L, autologous stem cell transplant (SCT), and allogeneic SCT for analysis. Our results demonstrated that the non-prophylaxis group (HR: 2.37, 95% CI 1.57-3.57) and patients receiving autologous SCT (HR: 2.22, 95% CI 1.28-3.86) and allogeneic SCT (HR: 5.12, 95% CI 1.13-23.22) had higher risk of HZ infection. The difference in dosage and types of anti-HZ drugs showed similar protective effects. In patients who stopped anti-HZ prophylaxis before active cancer-related treatment, a higher risk of getting HZ infection compared to the corresponding group was also observed (adjusted HR 3.09, 95% CI 1.35-7.07, p = 0.008). CONCLUSIONS: We concluded that MM patients should receive HZ prophylaxis drugs while receiving active cancer-related treatment. Patients receiving SCT are also at high risk of getting HZ infection, even under prophylaxis.

Prognostic factors in patients with bone marrow hemophagocytosis and its association with hematologic malignancies.

Hemophagocytic lymphohistiocytosis (HLH) is a heterogeneous group of hyperinflammatory statuses that are difficult to diagnose and can be life-threatening. Bone marrow (BM) hemophagocytosis is one of the diagnostic criteria according to HLH 2004 diagnostic criteria and HS score. Limited studies have focused on the prognostic factors of BM hemophagocytosis and its association with hematologic malignancies. We aimed to analyze the clinical significance of BM hemophagocytosis. Patients with BM hemophagocytosis, either by cytology or pathology, were enrolled at Taipei Veterans General Hospital from January 2002 to July 2021. Relevant clinical and laboratory data were extracted from medical records. Of 119 patients with BM hemophagocytosis, 57 were diagnosed with hematologic malignancies. The median age of the patients was 58, ranging from 21 to 90. Splenomegaly (adjusted odds ratio [aOR] 2.96; 95% confidence interval [CI] 1.13-7.79) was a risk factor for hematologic malignancies, while autoimmune disease (aOR 0.07; 95% CI 0.01-0.39) and increased D-dimer (aOR 0.25; 95% CI 0.07-0.92) were protective factors. Risk factors for mortality in patients with BM hemophagocytosis were hematologic malignancies (adjusted hazard ratio [aHR] 2.34; 95% CI 1.24-4.44), Eastern Cooperative Oncology Group score ≥3 (aHR 2.42; 95% CI 1.20-4.89) and thrombocytopenia (aHR 3.09; 95% CI 1.04-9.16). In conclusion, among patients with BM hemophagocytosis, splenomegaly was a predictor of hematologic malignancies. Patients with hematologic malignancies, poor performance status, or thrombocytopenia had a higher mortality risk. Further validation studies are warranted.

The influence of high-efficiency particulate air filtration on mortality among multiple myeloma patients receiving autologous stem cell transplantation.

Autologous stem cell transplantation (ASCT) continues to be the standard treatment for transplant-eligible multiple myeloma (MM) patients. A portion of MM patients received ASCT in an isolation room with high-efficiency particulate air (HEPA) filtration. The effectiveness of the HEPA filtration on reducing treatment-related mortality (TRM) is controversial. We enrolled patients with newly diagnosed MM in Taiwan between 2000 and 2017. The primary endpoint of the study was TRM, which was defined as death within 100 days after ASCT. A total of 961 MM patients received ASCT. Of them, 480 patients (49.9%) received ASCT in an isolation room with HEPA filtration (HEPA group). The median overall survival from ASCT was 7.52 years for the HEPA group and 5.88 years for the remaining patients (non-HEPA group) (p = 0.370). The 100-day mortality rate was 1.5% and 1.0% for the HEPA and non-HEPA groups, respectively. In the multivariate analysis, the 100-day mortality had no difference between the HEPA and non-HEPA groups (adjusted hazard ratio 1.65, 95% CI 0.52-5.23). The median cost for ASCT inpatient care was $13,777.6 and $6527.6 for the HEPA and non-HEPA groups, respectively (p < 0.001). Although half of MM patients in Taiwan received ASCT in HEPA room, it didn't affect 100-day mortality.

Patient-sharing relationship between Chinese medicine doctors and other physicians: costs and outcomes of breast cancer survivorship care.

PURPOSE: Breast cancer survivors represent a unique group of patients who need complex and continuous care after their cancer treatment. These patients often see several providers in various specialties. This study aimed to analyze how traditional Chinese medicine (TCM) integration within care networks of patients with breast cancer might be related to health care costs and patient outcomes under the National Health Insurance program in Taiwan. METHODS: We enrolled all patients who underwent definitive mastectomy for newly diagnosed breast cancer between 2007 and 2015. We analyzed the presence of TCM physicians and the patient-sharing relationship between TCM physicians and other physicians during the first year after mastectomy. The outcomes included all-cause mortality, avoidable hospitalization, and medical expenditures. RESULTS: There were 68,987 patients with breast cancer, with a median age of 53 years. After propensity score matching, patients whose TCM doctors had the highest connectedness with other physicians had the lowest odds of avoidable hospitalization (adjusted odds ratio 0.86; 95% confidence interval [CI], 0.78-0.96) and lowest hazard of mortality (adjusted hazard ratio, 0.82; 95% CI, 0.72-0.93), followed by those with TCM doctors with medium connectedness, then low connectedness, and lastly those patients with no TCM doctor in their care network. CONCLUSIONS: A dose-response pattern was observed regarding the relationship between TCM doctor's connectedness with other physicians within a patient's care network and patient outcomes. IMPLICATIONS FOR CANCER SURVIVORS: The findings demonstrated that stronger connectedness between TCM and other physicians could help improve the health outcomes of breast cancer survivors.

Underweight as a risk factor of mortality in patients with newly diagnosed multiple myeloma.

PURPOSE: Multiple myeloma (MM), a clonal plasma cell malignancy, composes around 10% of hematologic malignancies. Though recent advances in treatment have dramatically improved MM survival, some aggressive courses of disease and dismal outcomes still exist. Low body weight, undernutrition, and cachexia are noted at MM diagnosis. We aim to evaluate the impact of low body mass index (BMI) and undernutrition in MM patients. METHODS: We retrospectively analyzed MM patients at Taipei Veterans General Hospital in Taiwan between January 1, 2006 and October 31, 2018. Being underweight is defined as having a BMI of under 18.5 kg/m2. The patient's baseline characteristics, including BMI, serum albumin level, and comorbidities, etc., were recorded. The primary endpoint of the study was all-cause mortality. A Cox regression model was used to estimate the risk factors of mortality. RESULTS: A total of 378 newly diagnosed MM patients were enrolled in this study. The median age of the patients was 69. Thirty patients (7.9%) were underweight at diagnosis. The median overall survival was 1.3 years (95% CI 0.3-5.7) and 5.0 years (95% CI 3.1-5.9) for patients with low BMI and for patients with normal or higher BMI, respectively. In the multivariate analysis, low BMI (95% CI 1.07-4.44), ECOG ≥2 (95% CI 1.02-2.89), hypoalbuminemia (95% CI 1.21-4.01), high LDH (95% CI 1.22-3.49), and light chain ratio > 100 (95% CI 1.06-2.77) were independent risk factors of mortality. CONCLUSION: MM patients who were underweight, with hypoalbuminemia, poor performance status, higher LDH, and light chain ratio > 100 were associated with poor overall survival.

Prognostic significance of dynamic changes in lymphocyte-to-monocyte ratio in patients with head and neck cancer treated with radiotherapy: results from a large cohort study.

BACKGROUND AND PURPOSE: We sought to investigate whether dynamic changes in lymphocyte-to-monocyte ratio (LMR) occurring during the course of radiotherapy (RT) may have prognostic value in patients with head and neck cancer (HNC). MATERIALS AND METHODS: We retrospectively reviewed the clinical records of patients with HNC who underwent RT at our center between 2005 and 2013. Generalized estimating equations were used to longitudinally assess changes in LMR through the course of RT. Delta-LMR was calculated as the difference between LMR measured during treatment and baseline LMR values. Freedom from metastasis (FFM) and overall survival (OS) served as the main outcome measures. RESULTS: A total of 1431 patients with HNC were enrolled. After a median follow-up of 9 years, 636 (44.4%) patients died and 240 (16.8%) had distant metastases. Compared with patients with low delta-LMR at two weeks, those with high delta-LMR experienced less favorable outcomes (five-year OS: 73% versus 59%, respectively, p < 0.001; five-year FFM: 87% versus 80%, respectively, p = 0.015). Similar findings were observed for delta-LMR measured at four weeks (five-year OS: 72% versus 60%, p < 0.001; five-year FFM: 86% versus 79%, respectively, p = 0.002) and six weeks (five-year OS: 72% versus 57%, p < 0.001; five-year FFM: 87% versus 79%, respectively, p = 0.002). Multivariate analysis identified delta-LMR as an independent prognostic factor for both FFM and OS. CONCLUSION: Delta-LMR is a simple and inexpensive biomarker that may be clinically useful for predicting FFM and OS in patients with HNC treated with RT.

Hospital volume and physician volume in association with survival in patients with nasopharyngeal cancer after radiation therapy.

BACKGROUND: Cancer patients treated at higher-volume hospitals or by more experienced physicians have better outcomes. However, little is known about the effect of these provider volumes on the prognosis of patients receiving definitive radiotherapy (RT). This study aims to examine the independent association between hospital volume and physician volume in relation to the overall survival (OS) of nasopharyngeal cancer (NPC) patients after RT. METHODS: Patients with newly diagnosed NPC receiving definitive RT between 2001 and 2017 were identified from Taiwan's National Health Insurance Research Database. We collected demographic characteristics of patients, physicians and hospitals, as well as cancer treatment and comorbidities. Patients were categorized into quartiles according to cumulative hospital and physician volumes of their treatment providers. The effects of hospital and physician volumes on OS was examined by the frailty Cox regression model. RESULTS: A total of 16,315 NPC patients treated by 258 physicians in 92 hospitals were identified. When the effects of hospital volume and physician volume on survival were separately examined, both of them were positively associated with OS. In a fully adjusted model considering patient and provider characteristics, hospital volume, physician volume, and clustering effects, it showed that hospital volume significantly predicted OS, while physician volume did not. In patients treated with advanced technique RT, hospital volume was significantly associated with OS. However, volume effect was not observed in 2-D RT subgroup. CONCLUSIONS: NPC patients receiving RT at higher-volume hospitals saw better survival. Treatment for NPC should be centralized to high-volume hospitals rather than high-volume physicians.

Risk and impact of invasive fungal infections in patients with multiple myeloma.

Infection is associated with great morbidity and mortality in patients with multiple myeloma (MM), but evidence for invasive fungal infections (IFIs) is lacking. We aimed to investigate risk factors for IFI in MM patients and to determine its impact on patients' survival. We retrospectively analyzed MM patients at Taipei Veterans General Hospital in Taiwan between January 2002 and October 2018. MM was diagnosed according to the International Myeloma Working Group criteria. IFI was defined according to the European Organization for Research and Treatment of Cancer/Mycoses Study Group criteria. All risk factors of IFI in MM patients were estimated using Cox regression models in the univariate and multivariate analyses. Of the 623 patients recruited, 22 (3.5%) were diagnosed with proven or probable IFI. Light chain disease (adjusted hazard ratio [HR] 6.74, 95% confidence interval [CI] 2.10-21.66), hemoglobin less than 8 g/dl (adjusted HR 3.34, 95% CI 1.32-8.42), serum albumin < 3.5 g/dl (adjusted HR 3.24, 95% CI 1.09-9.68), and having received allogeneic stem cell transplantation (allo-SCT) (adjusted HR 5.98, 95% CI 1.62-22.03) were significantly associated with IFI in the multivariate analysis. Contracting IFI was in turn associated with early mortality (adjusted HR 11.60, 95% CI 1.26-106.74). Light chain disease, anemia, hypoalbuminemia, and receiving allo-SCT were independent predictors of IFI in MM patients. The early mortality risk is much higher in those encountering IFI. Physicians must be aware of the rare but potentially lethal infections.

A new prognostic score for disease progression and mortality in patients with newly diagnosed primary CNS lymphoma.

BACKGROUND: Although various prognostic models for primary central nervous system lymphoma (PCNSL) have been developed, there is no consensus regarding the optimal prognostic index. We aimed to evaluate potential prognostic factors and construct a novel predictive model for PCNSL patients. METHODS: We enrolled newly diagnosed PCNSL patients between 2003 and 2015. The primary endpoint was progression-free survival (PFS), and the secondary endpoint was overall survival (OS). The prognostic factors identified using multivariate Cox proportional hazards models were used to develop a predictive model. We subsequently validated the prognostic model in an independent cohort. We also evaluated the validity of the existing scores: the International Extranodal Lymphoma Study Group (IELSG), the Nottingham/Barcelona (NB), and the Memorial Sloan-Kettering Cancer Center models (MSKCC). RESULTS: We identified 101 patients with newly diagnosed PCNSL at our center. Multivariate analysis showed that age ≥80, deep brain lesions, and ECOG ≥2 were independent risk factors of PFS. Assigning one point for each factor, we constructed a novel prognostic model, the Taipei Score, with four distinct risk groups (0-3 points). The performances of the Taipei Score in discriminating both PFS and OS in the training cohort were significant, and the score was validated in the external validation cohort. The IELSG, NB and MSKCC models had insufficient discriminative ability for either PFS or OS in both cohorts. CONCLUSION: The Taipei Score is a simple model that discriminates PFS and OS for PCNSL patients. The score may offer disease risk stratification and facilitate clinical decision-making.

The risk of early mortality in elderly patients with newly diagnosed acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a common hematologic neoplasm with high incidence and mortality in the elderly. Our aims were to explore risk factors for early mortality in elderly AML patients and develop a new prognostic score. METHODS: We enrolled newly diagnosed AML patients age 60 and above at Taipei Veterans General Hospital between July 2008 and May 2017. The primary endpoint was early mortality, defined as death within two months after AML diagnosis. A multivariate Cox proportional hazards model was used to build a risk-scoring system incorporating significant risk factors for AML. RESULTS: The final cohort included 277 elderly AML patients. The median age was 74 (range 60-96), and 61.7% were male. The two-month mortality rate was 29.9%. Age ≥ 80 (adjusted HR 1.88), myocardial infarction (adjusted HR 1.87), ECOG ≥ 2 (adjusted HR 2.10), complex karyotype (adjusted HR 3.21), bone marrow blasts ≥ 70% (adjusted HR 1.88), WBC ≥ 100 × 109 /L (adjusted HR 3.31), and estimated glomerular filtration rate (eGFR) < 45 (adjusted HR 2.60) were identified as independent predictors for early mortality in the multivariate analysis. A simplified score incorporating the seven factors was developed with good predictive ability measured by Harrell's C statistic [0.72 (95% CI 0.66-0.78)]. CONCLUSIONS: We identified seven potential risk factors for early mortality and built up a new prognostic score for elderly AML patients. The new score may help clinicians stratify patients and initiate appropriate management. Further validation of our findings on other cohorts is warranted.

Risk Prediction for Early Mortality in Patients with Newly Diagnosed Primary CNS Lymphoma.

Background: Overall survival of patients with primary CNS lymphoma (PCNSL) has improved since the introduction of immunochemotherapy. However, up to 10-15% of PCNSL patients still die shortly after diagnosis. In the present study, we aimed to investigate the risk factors of early mortality (death within 60 days after diagnosis) in patients with PCNSL. Methods: We included newly diagnosed PCNSL patients in a tertiary medical center in Taiwan between January 1, 2002 and May 31, 2018. Clinical risk factors were collected and compared between PCNSL patients who had and did not have early mortality. Results: A total of 133 consecutive patients with PCNSL were included in this study. Approximately 9.8% of the PCNSL patients had early mortality. In multivariate analysis, age ≥ 80 (adjusted hazard ratio [HR] 3.34, 95% confidence interval [CI] 1.01-11.04, p = 0.048) and involvement of the basal ganglia (adjusted HR 4.85, 95% CI 1.47-15.95, p = 0.009) were identified as independent risk factors of early mortality. Use of MTX-based chemotherapy served as an independent protective factor for early mortality (adjusted HR 0.19, 95% CI 0.05-0.67, p = 0.010). Infection and tumor-associated mass effect contributed most to early mortality. Conclusion: Early mortality is not uncommon in patients with PCNSL. Identification of patients with higher risk may help clinicians with initiating appropriate surveillance and management.

Increased risk of tuberculosis in oral cancer patients in an endemic area: a nationwide population-based study.

OBJECTIVES: We investigated the incidence of tuberculosis (TB) in patients with newly diagnosed oral cancer and analyzed the risk factors for TB development and mortality in oral cancer patients. MATERIALS AND METHODS: We used Taiwan's National Health Insurance Database to determine the incidence of TB and to analyze the risk factors for TB in patients newly diagnosed with oral cancer. From 2000 to 2011, we identified 40,327 oral cancer patients and the same number of subjects from the general population matched for sex, age, and comorbidities at a 1:1 ratio. RESULTS: Compared with the matched cohort, oral cancer patients exhibited a higher risk for TB (adjusted hazard ratio (aHR) 2.36, 95% confidence interval (CI) 2.06-2.71). Age ≥ 50 (aHR 1.90, 95% CI 1.57-2.29), being male (aHR 1.98, 95% CI 1.36-2.89), having diabetes mellitus (aHR 1.31, 95% CI 1.05-1.64), alcohol use disorder (aHR 1.42, 95% CI 1.06-1.89), human immunodeficiency virus (HIV) (aHR 8.24, 95% CI 2.05-33.14), chemotherapy (aHR 1.41, 95% CI 1.15-1.72), and radiotherapy for oral cancer (aHR 1.92, 95% CI 1.57-2.36) were identified as independent risk factors for TB in oral cancer patients. Hyperlipidemia was an independent protective factor for TB in oral cancer patients. CONCLUSION: Old age, male sex, diabetes mellitus, alcohol use disorder, and HIV were independent risk factors for TB in patients with oral cancer. CLINICAL RELEVANCE: High-risk oral cancer patients should be regularly screened for TB, especially those in endemic areas.

Depressive disorders among patients with gastric cancer in Taiwan: a nationwide population-based study.

BACKGROUND: In cancer patients, depressive disorder comorbidity is associated with greater suicide risk and poorer treatment outcomes, quality of life, and adherence to treatment. The aim of the study was to evaluate the incidence of newly-diagnosed depressive disorders after a gastric cancer diagnosis compared with a matched cohort using the National Health Insurance Research Database in Taiwan. METHODS: We conducted a retrospective cohort study of 57,506 patients (28,753 patients with gastric cancer and 28,753 matched patients) selected from the National Health Insurance Research Database. Patients were observed for a maximum of 12 years to determine the incidence of newly-diagnosed depressive disorders. Also, a Cox regression analysis which included death as an independent censor was performed to identify the potentially predictive variables for developing subsequent depressive disorders following a cancer diagnosis among the patients suffering from gastric cancer. RESULTS: The cumulative incidence of depressive disorders in the gastric cancer patients was significantly higher compared to those in the matched cohort (p < .001). The adjusted hazard ratio was 1.54 (95% confidence interval, CI = 1.39-1.70, P < .001) in the gastric cancer cohort compared with the matched cohort. Independent predictive variables for developing subsequent depressive disorders among the patients with gastric cancer included female sex and hypertension. CONCLUSIONS: In the study, higher incidence of new-onset depression, being defined by the records of the diagnostic codes combining antidepressants use in a nationwide database, was noted in the gastric cancer patients compared with the matched cohort. In addition, female sex and comorbid hypertension may be predictive variables for the subsequent depression among the patients with gastric cancer. Further clinical prospective studies were necessary to confirm these findings.