Excess diabetes mellitus-related deaths during the COVID-19 pandemic in the United States.

Background: Diabetes mellitus (DM) is a critical risk factor for severe SARS-CoV-2 infection, and SARS-CoV-2 infection contributes to worsening glycemic control. The COVID-19 pandemic profoundly disrupted the delivery of care for patients with diabetes. We aimed to determine the trend of DM-related deaths during the pandemic. Methods: In this serial population-based study between January 1, 2006 and December 31, 2021, mortality data of decedents aged ≥25 years from the National Vital Statistics System dataset was analyzed. Decedents with DM as the underlying or contributing cause of death on the death certificate were defined as DM-related deaths. Excess deaths were estimated by comparing observed versus expected age-standardized mortality rates derived from mortality during 2006-2019 with linear and polynomial regression models. The trends of mortality were quantified with joinpoint regression analysis. Subgroup analyses were performed by age, sex, race/ethnicity, and state. Findings: Among 4·25 million DM-related deaths during 2006-2021, there was a significant surge of more than 30% in mortality during the pandemic, from 106·8 (per 100,000 persons) in 2019 to 144·1 in 2020 and 148·3 in 2021. Adults aged 25-44 years had the most pronounced rise in mortality. Widened racial/ethnic disparity was observed, with Hispanics demonstrating the highest excess deaths (67·5%; 95% CI 60·9-74·7%), almost three times that of non-Hispanic whites (23·9%; 95% CI 21·2-26·7%). Interpretation: The United States saw an increase in DM-related mortality during the pandemic. The disproportionate rise in young adults and the widened racial/ethnic disparity warrant urgent preventative interventions from diverse stakeholders. Funding: National Natural Science Foundation of China.

Dynamic changes in heparin-binding protein as a prognostic biomarker for 30-day mortality in sepsis patients in the intensive care unit.

Heparin-binding protein (HBP) has been shown to be a robust predictor of the progression to organ dysfunction from sepsis, and we hypothesized that dynamic changes in HBP may reflect the severity of sepsis. We therefore aim to investigate the predictive value of baseline HBP, 24-h, and 48-h HBP change for prediction of 30-day mortality in adult patients with sepsis. This is a prospective observational study in an intensive care unit of a tertiary center. Patients aged 20 years or older who met SEPSIS-3 criteria were prospectively enrolled from August 2019 to January 2020. Plasma levels of HBP were measured at admission, 24 h, and 48 h and dynamic changes in HBP were calculated. The Primary endpoint was 30-day mortality. We tested whether the biomarkers could enhance the predictive accuracy of a multivariable predictive model. A total of 206 patients were included in the final analysis. 48-h HBP change (HBPc-48 h) had greater predictive accuracy of area under the curve (AUC: 0.82), followed by baseline HBP (0.79), PCT (0.72), lactate (0.71), and CRP (0.65), and HBPc-24 h (0.62). Incorporation of HBPc-48 h into a clinical prediction model significantly improved the AUC from 0.85 to 0.93. HBPc-48 h may assist clinicians with clinical outcome prediction in critically ill patients with sepsis and can improve the performance of a prediction model including age, SOFA score and Charlson comorbidity index.

Risk-standardized sepsis mortality map of the United States.

OBJECTIVE: Sepsis is the leading cause of in-hospital mortality in the United States (US). Quality improvement initiatives for improving sepsis care depend on accurate estimates of sepsis mortality. While hospital 30-day risk-standardized mortality rates have been published for patients hospitalized with acute myocardial infarction, heart failure, and pneumonia, risk-standardized mortality rates for sepsis have not been well characterized. We aimed to construct a sepsis risk-standardized mortality rate map for the United States, to illustrate disparities in sepsis care across the country. METHODS: This cross-sectional study included adults from the US Nationwide Inpatient Sample who were hospitalized with sepsis between 1 January 2010 and 30 December 2011. Hospital-level risk-standardized mortality rates were calculated using hierarchical logistic modelling, and were risk-adjusted with predicted mortality derived from (1) the Sepsis Risk Prediction Score, a logistic regression model, and (2) gradient-boosted decision trees, a supervised machine learning (ML) algorithm. RESULTS: Among 1,739,033 adults hospitalized with sepsis, 50% were female, and the median age was 71 years (interquartile range: 58-81). The national median risk-standardized mortality rate for sepsis was 18.4% (interquartile range: 17.0, 21.0) by the boosted tree model, which had better discrimination than the Sepsis Risk Prediction Score model (C-statistic 0.87 and 0.78, respectively). The highest risk-standardized mortality rates were found in Wyoming, North Dakota, and Mississippi, while the lowest were found in Arizona, Colorado, and Michigan. CONCLUSIONS: Wide variation exists in sepsis risk-standardized mortality rates across states, representing opportunities for improvement in sepsis care. This represents the first map of state-level variation of risk-standardized mortality rates in sepsis.

Survival Impact and Clinical Predictors of Acute Gastrointestinal Bleeding in Patients With Bloodstream Infection.

PURPOSE: The impact of gastrointestinal bleeding (GIB) on outcomes of patients with bloodstream infection (BSI) has not been studied. We aim to evaluate the risk factors and survival impact of GIB on the outcome of BSI. MATERIALS AND METHODS: This study was conducted prospectively at National Taiwan University Hospital Yunlin Branch between January 1, 2015, and December 31, 2016. Patients aged ≥18 years for who BSI was confirmed by blood cultures were enrolled and followed for 90 days. Risk factors of GIB were identified by univariable and multivariable logistic regression models. The survival impact of GIB on BSI was evaluated with the Cox proportional hazards model with inverse probability of treatment weighting. RESULTS: Of the 1034 patients with BSI, 79 (7.64%) developed acute GIB. We identified 5 independent predictors of GIB. Patients with BSI complicated with GIB had an increased 90-day mortality compared to patients without GIB (hazard ratio 1.74, 95% confidence interval: 1.14, 2.65). CONCLUSIONS: Gastrointestinal bleeding had an adverse impact on the short-term survival in patients with BSI. The clinical predictors may help identify patients who may benefit from active prevention and treatment of GIB.

Comparison of type B dissection by open, endovascular, and medical treatments.

OBJECTIVE: This study aimed to address the shortcomings of previous clinical trials that were inadequate to prove the superiority of thoracic endovascular aortic repair (TEVAR) in managing type B aortic dissection (TBAD) over open surgery (OS) or best medical treatment (BMT). The comparative effectiveness of these three treatments was analyzed using data of the National Inpatient Sample, a large U.S. database including patients from 4378 hospitals. METHODS: Adult patients diagnosed with a primary or secondary TBAD in the years 2005 to 2012 were included for analysis. Patients who had aortic aneurysm or received cardioplegia, valve repair, or operations on vessels of the heart were excluded. A three-category propensity score was created by using a multinomial logistic regression model, a three-way matching algorithm for 1:1:1 matching was applied, and a parallel outcome comparison between the three matched treatment groups was performed. RESULTS: Of a total of 54,971 patients included in the study, we matched 17,211 into three equal-size treatment groups (OS, 5755; TEVAR, 5695; BMT, 5761). No significant difference in the 22 baseline covariates was found in the matched cohort. We found TEVAR to have a much lower mortality rate than OS (odds ratio [OR], 0.60; 95% confidence interval [CI], 0.46-0.79) or BMT (OR, 0.62; 95% CI, 0.47-0.83). Mortality rates between OS and BMT were similar (OR, 0.97; 95% CI, 0.74-1.27). We also found TEVAR to have a lower complication rate, shorter hospitalization, and lower medical cost compared with OS. CONCLUSIONS: TEVAR is superior to BMT or OS for treatment of TBAD in terms of mortality, complications, and cost.