Objective: This study intends to explore the effect of depressive symptoms on adverse clinical outcomes in middle-aged and elderly hypertensive patients.
Methods: This post hoc analysis was conducted using data from the Systolic Blood Pressure Intervention Trial (SPRINT), and we used cox proportional risk regression to examine the relationship between depressive symptoms and adverse clinical outcomes (primary outcome, all-cause mortality, cardiovascular disease(CVD) mortality, heart failure(HF), myocardial infarction(MI), non-myocardial infarction acute coronary syndrome(non-MI ACS)).
Results: In a follow-up study of 9259 participants, we found that depression symptoms was significantly and positively associated with the primary outcome (HR 1.
This study aimed to investigate the relationship between serum ferritin level and prognosis in sepsis. It also explored the potential prognostic value of serum ferritin for predicting outcomes in sepsis based on a large public database. Sepsis patients in MIMIC-IV database were included.
View Article and Find Full Text PDFObjective: This study aimed to explore the relationship between albumin level with short- and long-term outcomes in sepsis patients admitted in the intensive care unit (ICU) based on a large public database to provide clinical evidence for physicians to make individualized plans of albumin supplementation.
Methods: Sepsis patients admitted in the ICU in MIMIC-IV were included. Different models were performed to investigate the relationships between albumin and mortalities of 28-day, 60-day, 180-day and 1-year.
Objective: This study aimed to evaluate the possible relationship between serum phosphate and short-term outcomes in sepsis.
Methods: This was a retrospective study. Sepsis patients in MIMIC-IV database were included.
Objective: Early identifying sepsis patients who had higher risk of poor prognosis was extremely important. The aim of this study was to develop an artificial neural networks (ANN) model for early predicting clinical outcomes in sepsis.
Methods: This study was a retrospective design.
Background: Acute pancreatitis (AP) is a common digestive disorder with different clinical outcomes, some of which develop into recurrent acute pancreatitis (RAP). This study aimed to explore the differences between AP and RAP.
Methods: All patients with AP admitted to Changsha Central Hospital between January 2015 and December 2020 were included.
Background: Escherichia coli (E. coli) is an important pathogen in sepsis. This study aimed to explore the factors which were associated with in-hospital mortality in adult sepsis with E.
View Article and Find Full Text PDFTurk J Gastroenterol
November 2021
Background: Acute pancreatitis (AP) was one of the most common disorders of acute hospital admission with significant morbidity and mortality. Some of the patients experienced recurrent attacks of AP, leading to recurrent acute pancreatitis (RAP) and poor clinical outcomes. The association of clinical and laboratory variables with recurrence of AP were analyzed to evaluate the risk of RAP.
View Article and Find Full Text PDFBackground: Acute respiratory distress syndrome (ARDS) associated with high mortality is the common complication in acute pancreatitis (AP). The aim of this study was to formulate and validate an individualized predictive nomogram for in-hospital incidence of ARDS in Patients with AP.
Methods: From January 2017 to December 2018, 779 individuals with AP were involved in this study.
Background: Aortic aneurysm (AA) is an aortic disorder prone to sudden, life-threatening aortic dissection or rupture, with poor clinical outcomes. In this study, we aimed to analyze the clinical characteristics of AA in MIMIC-III to explore implications for management.
Methods: All patients with AA, including abdominal aortic aneurysm (AAA) and thoracic aortic aneurysm (TAA), in the MIMIC-III database were included.
Deep vein thrombosis (DVT) is a serious complication in patients with acute ischemic stroke (AIS). Early prediction of DVT could enable physicians to perform a proper prevention strategy. We analyzed the association of clinical and laboratory variables with DVT to evaluate the risk of DVT in patients after AIS.
View Article and Find Full Text PDFBackground: Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), especially at the time of admission is very significant. This study was aimed to develop an artificial neural networks (ANN) model for early prediction of in-hospital mortality in AP.
Methods: Patients with AP were identified from the Medical Information Mart for Intensive Care-III (MIMIC-III) database.