Association of CDSS score and 60-day mortality in Chinese patients with non-APL acute myeloid leukemia: a retrospective cohort study.

Acute myeloid leukemia (AML) is a heterogeneous hematological malignancy, and is one of the triggers of DIC, the latter is an essential factor in the early death of patients with AML. However, the timely identification of DIC remains a challenge. The Chinese DIC Scoring System (CDSS) is a common consensus widely used in China; but, there are few reports on its application in patients with AML. We undertake this retrospective cohort study to investigate the association between CDSS score and 60-day mortality. CDSS scores were evaluated after admission. The outcome was all-cause 60-day mortality. Multivariate Cox regression analyses were performed to calculate the adjusted hazard ratio (HR) and the corresponding 95% confidence interval (CI). Survival curves were plotted by Kaplan-Meier and log-rank analyses. Subgroup analyses were stratified by relevant effect covariates. A total of 570 consecutive patients with primary AML were included. We found an association between a 39% increase in 60-day mortality and a 1 point increase in CDSS score (HR = 1.39, 95% CI 1.25-1.54), which was associated with a 189% increase in 60-day mortality in CDSS scores ≥ 6 compared with that in the CDSS scores < 6 (HR = 2.89, 95% CI 1.91-4.38). After adjusting for all potential con-founders, a 27% and a 198% increase were observed (HR = 1.27, 95% CI 1.01-1.61; HR = 2.98, 95% CI 1.24-7.19), respectively. There is association between 60-day mortality and CDSS score in patients with AML. These findings may help hematologists in making informed treatment decisions.

Association between serum albumin and 60-day mortality in Chinese Hakka patients with non-APL acute myeloid leukemia: a retrospective cohort study.

BACKGROUND: Acute myeloid leukemia (AML) is the main type of adult leukemia, and 60-day mortality is a vital clinical problem that doctors have to face at the begin with treatment. Studies on the association between serum albumin and 60-day mortality from AML (non-APL) are limited. METHODS: In this retrospective cohort study, ALB was measured after admission in all patients diagnosed with primary AML from Affiliated Ganzhou Hospital of Nanchang University between January 2013 and May 2021. The outcome was all-cause, 60-day mortality. Multivariable Cox regression analyses were performed to calculate the adjusted hazard ratio (HR) and its corresponding 95% confidence interval (CI). RESULTS: This study included 394 primary AML patients. The overall 60-day mortality was 28.9% (114/394); it was 43.1% (56/130), 27.5% (36/131), and 16.5% (22/133) for ALB quantile1 (Q, < 34.5 g/L), quantile 2 (Q2, 34.5-38.5 g/L), and quantile 3 (Q3, ≥ 38.6 g/L), respectively (P = 0.001). After adjusting for potential confounders, we found an association between a 6% decrease in 60-day mortality rate and a 1 g/L increase in ALB level (HR = 0.94, 95% CI: 0.89-0.99, P = 0.015), which was associated with 38 and 70% decreases in 60-day mortality rates in Q2 (HR = 0.50, 95% CI: 0.30-0.86, P = 0.012) and Q3 (HR = 0.47, 95% CI: 0.2 5-0.90, P = 0.022), respectively, compared with that in Q1. Similar results were obtained after subgrouping based on an ALB level of 35 g/L (HR = 0.55, 95% CI: 0.34-0.88, P = 0.013). CONCLUSIONS: Serum albumin was significantly associated with 60-day mortality of primary AML, which has important clinical significance. Further investigation is warranted.

Association between serum lactate dehydrogenase and 60-day mortality in Chinese Hakka patients with acute myeloid leukemia: A cohort study.

BACKGROUND: There is evidence that a high level of serum lactate dehydrogenase (LDH) is associated with poorer overall survival in acute myeloid leukemia (AML), but its link to 60-day mortality of AML remains unclear. METHODS: All patients newly diagnosed with AML were included in this cohort study. LDH was measured for the first time after admission. Multivariable logistic regression was used to explore the association between serum LDH and 60-day mortality. Interaction and stratified analyses were conducted including age, sex, albumin, glucose, myoglobin, and standard chemotherapy. RESULTS: Three hundred and seventy-one patients ≥15 years of age, who were newly diagnosed with AML, were consecutively selected. The total prevalence of 60-day mortality was 27.2% (101/371), while it was 32.1% (42/131) and higher than in the LDH ≥570U/L compared with the LDH<570U/L, with the prevalence of 24.6% (59/240); however, the difference was not statistically significant. In multivariate regression models, odd ratios and corresponding 95% confidence intervals (CIs) for Log2 and twice limit of normal (ULN) of LDH were 1.46 (1.0, 2.14) and 2.76 (1.24, 6.16), respectively. Interaction analysis revealed no interactive role in the association between LDH concentration and 60-day mortality. CONCLUSIONS: Serum LDH level was associated with 60-day mortality, especially for the patients with LDH ≥570U/L.

Development of a pig wean-quality score using machine-learning algorithms to characterize and classify groups with high mortality risk under field conditions.

Mortality during the post-weaning phase is a critical indicator of swine production system performance, influenced by a complex interaction of multiple factors of the epidemiological triad. This study leveraged retrospective data from 1723 groups of pigs marketed within a US swine production system to develop a Wean-Quality Score (WQS) using machine learning techniques. The study evaluated three machine learning models, Random Forest, Support Vector Machine, and Gradient Boosting Machine, to classify groups having high or low 60-day mortality, where high mortality groups represented 25 % of the groups among the study population with the highest mortality values (n=431; 60-day mortality=9.98 %), and the remaining 75 % of the groups were of low mortality (n=1292; 60-day mortality=2.75 %). The best-performing model, Random Forest (RF), outperformed the other ML models in terms of accuracy (0.90), sensitivity (0.84), and specificity (0.92) metrics, and was then selected for further analysis, which consisted of creating the WQS and ranking the most important factors for classifying groups as high or low mortality. The most important factors ranked through the RF model to classify groups with high mortality were pre-weaning mortality, weaning age, average parity of litters in sow farms, and PRRS status. Additionally, stocking conditions such as stocking density and time to fill the barn were important predictors of high mortality. The WQS was developed and correlated (r = 0.74) with the actual 60-day mortality of the groups, offering a valuable tool for assessing post-weaning survivability in swine production systems before weaning. This study highlights the potential of machine learning and comprehensive data utilization to improve the assessment and management of weaned pig quality in commercial swine production, which producers can utilize to identify and intervene in groups, according to the WQS.

Prognostic factors for 60-day mortality in first-line treatment of metastatic colorectal cancer (mCRC): individual patient analysis of four randomised, controlled trials by the AIO colorectal cancer study group.

BACKGROUND: The 60 day mortality is an established parameter for chemotherapy-related safety in randomised trials for metastatic colorectal cancer (mCRC). Prognostic factors associated with 60-day mortality would be helpful to identify high-risk patients in advance. PATIENTS AND METHODS: Individual baseline patient data from four randomised, controlled trials from the Arbeitsgemeinschaft Internistische Onkologie (AIO) study group were retrospectively analysed. Chemotherapy consisted of fluoropyrimidine (5-FU/capecitabine), irinotecan, oxaliplatin with or without bevacizumab or cetuximab. Prognostic factors were identified by univariate and multivariate logistic regression models in two cohorts: one limited to ECOG PS 0 and 1 and one including ECOG PS 2 patients. RESULTS: A total of 1377 patients were evaluated. The analysis of ECOG PS 0, 1 and 2 patients consisted of 898 patients where a total of 33 deaths within the first 60 days of treatment (3.7%) occurred. In multivariate analysis, 60-day mortality was significantly associated with ECOG PS 2 and high leucocyte count (white blood cell, WBC). Odds ratio was 6.28 for WBC and 12.92 for ECOG PS 2. Exclusion of ECOG PS 2 patients but inclusion of one trial limited to ECOG PS 0 and 1 patients resulted in 1302 assessable patients and 44 early deaths (3.4%). In both cohorts, around 50% of deaths were disease related. WBC was confirmed as a significant risk factor for early death (OR 7.60). A combined score using ECOG PS 2 and WBC ≥8.000/µl is able to identify high-risk patients with a sensitivity of 18% and specificity of 98%. CONCLUSIONS: In this large retrospective analysis of individual patient data, around 50% of early deaths were disease related. Elevated WBC was found strongly associated with increased 60-day mortality in first-line treatment of mCRC. The proposed AIO-60-Day-Mortality score serves as an additional trial exclusion criterion.

Association between number of vasopressors and mortality in COVID-19 patients.

Study objective: Study the clinical outcomes associated with the number of concomitant vasopressors used in critically ill COVID-19 patients. Design: A single-center retrospective cohort study was conducted on patients admitted with COVID-19 to the intensive care unit (ICU) between March and October 2020. Setting: Rush University Medical Center, United States. Participants: Adult patients at least 18 years old with COVID-19 with continuous infusion of any vasopressors were included. Main outcome measures: 60-day mortality in COVID-19 patients by the number of concurrent vasopressors received. Results: A total of 637 patients met our inclusion criteria, of whom 338 (53.1 %) required the support of at least one vasopressor. When compared to patients with no vasopressor requirement, those who required 1 vasopressor (V1) (adjusted odds ratio [aOR] 3.27, 95 % confidence interval (CI) 1.86-5.79, p < 0.01) (n = 137), 2 vasopressors (V2) (aOR 4.71, 95 % CI 2.54-8.77, p < 0.01) (n = 86), 3 vasopressors (V3) (aOR 26.2, 95 % CI 13.35-53.74 p < 0.01) (n = 74), and 4 or 5 vasopressors(V4-5) (aOR 106.38, 95 % CI 39.17-349.93, p < 0.01) (n = 41) were at increased risk of 60-day mortality. In-hospital mortality for patients who received no vasopressors was 6.7 %, 22.6 % for V1, 27.9 % for V2, 62.2 % for V3, and 78 % for V4-V5. Conclusion: Critically ill patients with COVID-19 requiring vasopressors were associated with significantly higher 60-day mortality.

Identification of Prognostic Factors in Patients With Streptococcus Bloodstream Infection.

Aim: The purpose of this study was to explore prognostic factors of bloodstream infections (BSIs), a common severe infection and a major cause of mortality worldwide, so as to construct a prognosis model of patients with BSI. Materials and Methods: Clinical and biochemical test data were obtained retrospectively from the medical records of 562 patients with BSI who had been treated at a single center; the end point was 60 days of all-cause death. The chi-square test was used to compare the mortality of patients grouped by the types of antibiotic treatment. The logistic regression analysis was adopted to identify prognostic factors; the Kaplan-Meier survival curve and log-rank test were conducted to compare the survival rate of patients with different prognostic factors; the receiver operating characteristic (ROC) curve was used to estimate the predictive value of different prognostic factors. Results: Of the 562 patients, 455 survived (80.96%), and 107 died (19.04%). The mortality rate of patients treated with a combination of antibiotics (25.40%) was higher than that treated with a single antibiotic (15.82%). Univariate analysis identified 19 prognostic factors for patients with BSI, including gender, age, diabetes, malignant tumor (non-blood system), total hospitalization time, alanine aminotransferase, aspartate aminotransferase, total protein, albumin, total bilirubin, direct bilirubin, creatinine, ratio of granulocytes, fibrinogen, D-dimer, platelet, C-reactive protein, shock, and respiratory failure (P < 0.05). Multivariate analysis indicated that albumin (odds ratio [OR] = 0.94, 95% confidence interval [CI]: 0.89-0.99), fibrinogen (OR = 0.61, 95%CI: 0.46-0.82), shock (OR = 16.61, 95%CI: 7.00-39.41), and respiratory failure (OR = 47.53, 95%CI: 19.93-133.64) were independent factors. The combination of four indicators demonstrated a favorable predictive value for the 60-day outcome of patients with BSI, with an area under the ROC of 0.96 (95%CI: 0.94-0.99), sensitivity of 90.65%, specificity of 94.95%, and accuracy of 94.13%. Conclusions: Shock, respiratory failure, albumin, and fibrinogen are potential independent prognostic factors for 60-day mortality.

Impact of age on efficacy and early mortality of initial sequential treatment versus upfront combination chemotherapy in patients with metastatic colorectal cancer: a subgroup analysis of a phase III trial (AIO KRK0110, XELAVIRI study).

INTRODUCTION: The XELAVIRI study compared application of fluoropyrimidine (FP) and bevacizumab (Bev) followed by sequential escalation to irinotecan (Iri), FP and Bev (arm A) to upfront combination therapy with FP, Iri and Bev (arm B) in patients with metastatic colorectal cancer (mCRC). To elucidate the impact of age on survival, we evaluated efficacy and early mortality in the underlying trial. METHODS: Patients were stratified for age in three cohorts (<65 years, 65-74 years and ≥75 years). Survival end-points were expressed by the Kaplan-Meier method and compared by log-rank testing and Cox regression. Objective response and 60-day mortality were evaluated by chi-square testing. RESULTS: The efficacy analyses suggest more substantial benefit from upfront combination chemotherapy in younger patients with mCRC. Elderly patients (≥75 years) derived limited benefit from upfront combination chemotherapy, particularly in terms of overall survival. Of 421 randomised patients, 13 patients (3.1%) died within 60 days after treatment initiation with the highest prevalence in elderly patients (1.6% < 65 years, 2.8% 65-74 years and 5.2% ≥ 75 years, p = 0.26). The frequency of 60-day mortality was significantly associated with age (with a maximum of 8.7% in patients aged ≥75 years) in patients undergoing upfront combination therapy (p = 0.027) but not in patients receiving sequential treatment (p = 0.63). CONCLUSION: Combination therapy with FP, Iri and Bev does not substantially improve the outcome of patients aged ≥75 years as compared with sequential treatment algorithm. These patients appear to be at a relevant risk for 60-day mortality under Iri-based combination chemotherapy plus Bev.