Construction and application of a mortality risk prediction model for patients with lung squamous cell carcinoma: A competing risk analysis.

Background: Lung squamous cell carcinoma (LUSC) is the dominant histological subtype of lung cancer, accounting for 30% of all cases. Most patients develop distant metastases by the time they are diagnosed with the disease, owing to a delay in the appearance of symptoms. Therefore, accurate prognostic prediction is essential for personalized treatment.

Clinical risk assessment of serum creatinine abnormalities during vancomycin therapy: a retrospective study using machine learning models.

Introduction: Vancomycin is a widely used antibiotic for the treatment of serious Gram-positive bacterial infections. However, its clinical utility is often limited by the risk of nephrotoxicity, typically reflected by abnormalities in serum creatinine levels, which may indicate the occurrence of acute kidney injury (AKI). Timely identification of patients at increased risk is essential for early intervention and improved clinical outcomes.

Machine learning modeling for the risk of acute kidney injury in inpatients receiving amikacin and etimicin.

Background: Acute kidney injury (AKI) is a significant concern among hospitalized patients receiving aminoglycosides. Identifying the risk factors associated with aminoglycoside-induced AKI and developing machine learning models are imperative in clinical practice.

Objective: This study aims to identify the risk factors associated with AKI in hospitalized patients receiving aminoglycosides, and develop machine learning models for evaluation of the AKI risk in these patients.

Higher all-cause mortality risk in depression with physical comorbidities: Evidence from the longitudinal study of the survey of health, ageing and retirement in Europe.

Background: Depression and diagnosed physical diseases are separately linked to higher mortality in the elderly, but mortality risks in depression in the context of physical comorbidities remain unclear.

Methods: Data from waves 4-8 of the Survey of Health, Ageing and Retirement in Europe were analyzed, covering 15 physical diseases. Depression was assessed with the EURO-D scale.

Inadequate consumption of dietary fatty acids is a risk factor for ovarian cancer: evidence from the prostate, lung, colorectal, and ovarian cancer screening trial.

Purpose: Currently, there is controversy surrounding the association between dietary fatty acids (FAs) and ovarian cancer (OC) risk. We aimed to elucidate the aforementioned topic using data from a large cohort.

Methods: Women participating in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial were included in this study.

Risk factors and a predictive model of diabetic foot in hospitalized patients with type 2 diabetes.

Background: The risk factors and prediction models for diabetic foot (DF) remain incompletely understood, with several potential factors still requiring in-depth investigations.

Aim: To identify risk factors for new-onset DF and develop a robust prediction model for hospitalized patients with type 2 diabetes.

Methods: We included 6301 hospitalized patients with type 2 diabetes from January 2016 to December 2021.

Preadmission metformin use increased the incidence of hyperlactatemia at admission and 30-day in-hospital mortality among T2D patients with heart disease at high risk of hypoxia.

Background: Surprisingly, despite the high prevalence of metformin use in type 2 diabetes (T2D) patients with heart disease, limited safety data is available regarding metformin use in patients with acute and critical heart disease.

Methods: In this single-center retrospective study, patients admitted to the cardiology department for heart failure (HF) or acute coronary syndrome (ACS) between December 2013 and December 2021 and who underwent arterial blood gas analysis at admission with an estimated glomerular clearance rate of ≥45 ml/min/1.73 m were identified.

Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.

Purpose: To identify the symptom cluster among cancer survivors and examine their subgroup differences via network analysis based on nationally representative data.

Methods: This cross-sectional study included 2966 survivors participating in the 2020 National Health Interview Survey (NHIS). Participants self-reported the presence of 14 symptoms capturing four clusters (physical, somatic, sleep, and psychologic problems).

Identifying vital sign trajectories to predict 28-day mortality of critically ill elderly patients with acute respiratory distress syndrome.

Background: The mortality rate of acute respiratory distress syndrome (ARDS) increases with age (≥ 65 years old) in critically ill patients, and it is necessary to prevent mortality in elderly patients with ARDS in the intensive care unit (ICU). Among the potential risk factors, dynamic subphenotypes of respiratory rate (RR), heart rate (HR), and respiratory rate-oxygenation (ROX) and their associations with 28-day mortality have not been clearly explored.

Methods: Based on the eICU Collaborative Research Database (eICU-CRD), this study used a group-based trajectory model to identify longitudinal subphenotypes of RR, HR, and ROX during the first 72 h of ICU stays.

Risk factors for venous ulceration in patients with varicose veins of lower extremities.

The aim of this case-control study was to explore the potential risk factors for venous ulceration in patients with varicose veins of lower extremities and to establish a simplified diagnostic score model. Seventy subjects with varicose veins of lower extremities and venous ulceration were compared with 1164 controls with varicose veins of lower extremities and no history of venous ulceration. Stepwise multivariate logistic regression analysis was used to identify the risk factors for venous ulceration.

Multicomponent prediction of 2-year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors.

The current methods for the prediction of mortality and amputation for inpatients with diabetic foot (DF) use only conventional, simple variables, which limits their performance. Here, we used a random survival forest (RSF) model and multicomponent variables to improve the prediction of mortality and amputation for these patients. We performed a retrospective cohort study of 175 inpatients with DF who were recruited between 2014 and 2021.

Heterogeneity of financial toxicity and associated risk factors for older cancer survivors in China.

In China, older cancer survivors may show heterogeneity in financial toxicity (FT). We aimed to identify FT profiles among older Chinese cancer survivors and examine the association between FT profiles and individual characteristics. We used a latent profile analysis to categorize participants and a multinomial logistic regression to examine the associations.

Collecting Patient Feedback as a Means of Monitoring Patient Experience and Hospital Service Quality - Learning from a Government-led Initiative.

Purpose: Patient feedback plays a significant role in hospital service improvement. However, how to encourage patient feedback that can guide hospital service improvement is still being explored. By examining patient feedback data related to a tertiary hospital in China that was collected from the "12345" Government Service Convenience Hotline (GSCH), the paper discusses the learnings from GSCH in encouraging patient feedback and how quality improvement initiatives have effected the number and types of complaints made by patients and their families via GSCH.

Association between cold spells and serum lipid levels among the elders: a distributed-lagged effects analysis.

Little evidence about the effects of cold spells on serum lipid levels is available. The aim of this study was to explore the association between cold spells and serum lipid levels among the elders in Jinan, China. Data of old adults from health check-up program in Shandong Provincial Qianfoshan Hospital was collected for this study.

The incidence and risk factors analysis of acute kidney injury in hospitalized patients received diuretics: A single-center retrospective study.

Diuretics have been one of the well-known nephrotoxic drugs which can lead to acute kidney injury (AKI). However, there are few real-world studies on the incidence of AKI in hospitalized patients received diuretics. In the present study, a single-center retrospective study was conducted in our center.

Disability and the risk of subsequent mortality in elderly: a 12-year longitudinal population-based study.

Background: Assessment the impact of disability on mortality among the elderly is vital to healthy ageing. The present study aimed to assess the long-term influence of disability on death in the elderly based on a longitudinal study.

Method: This study used the Chinese Longitudinal Healthy Longevity Study (CLHLS) data from 2002 to 2014, including 13,666 participants aged 65 years and older in analyses.

Time series decomposition into dyslipidemia prevalence among urban Chinese population: secular and seasonal trends.

Background: Previous epidemiological studies have indicated the seasonal variability of serum lipid levels. However, little research has explicitly examined the separate secular and seasonal trends of dyslipidemia. The present study aimed to identify secular and seasonal trends for the prevalence of dyslipidemia and the 4 clinical classifications among the urban Chinese population by time series decomposition.

Effect of ambient temperatures on category C notifiable infectious diarrhea in China: An analysis of national surveillance data.

Background: Many studies have explored the association between meteorological factors and infectious diarrhea (ID) transmission but with inconsistent results, in particular the roles from temperatures. We aimed to explore the effects of temperatures on the transmission of category C ID, to identify its potential heterogeneity in different climate zones of China, and to provide scientific evidence to health authorities and local communities for necessary public health actions.

Methods: Daily category C ID counts and meteorological variables were collected from 270 cities in China over the period of 2014-16.

Financial hardship in Chinese cancer survivors.

Background: The purpose of this study was to estimate the proportion of Chinese cancer survivors experiencing financial hardship and then examine the relationship between material and behavioral financial hardship.

Methods: This study surveyed 964 cancer survivors who were 30 to 64 years old and 644 survivors who were 65 years old or older during 2015-2016 (1608 survivors in all). Material financial hardship was measured by whether they had borrowed money because of cancer, its treatment, or the lasting effects of treatment, and behavioral financial hardship was measured by whether they had forgone some cancer-related medical care because of cost.

Effects and interaction of meteorological factors on influenza: Based on the surveillance data in Shaoyang, China.

Background: Previous studies have demonstrated that meteorological factors influence the incidence of influenza. However, little is known regarding the interactions of meteorological factors on the risk of influenza in China.

Objective: The study aimed to evaluate the associations between meteorological factors and influenza in Shaoyang of southern China, and explore the interaction of temperature with humidity and rainfall.

Identifying different types of flood-sensitive diarrheal diseases from 2006 to 2010 in Guangxi, China.

Floods may influence different types of diarrheal diseases and epidemiological studies of pathogen-specific diarrhea due to floods in China are still needed. In addition, few studies have been conducted to quantify the lag and cumulative risk of diarrheal disease due to floods in Guangxi, China. Our study aimed to identify different types of diarrheal diseases that were sensitive to floods and to quantify their lag and cumulative impact.

Effect of ambient temperature and its effect modifiers on bacillary dysentery in Jinan, China.

Background: Studies about the modified effect among various meteorological factors on bacillary dysentery (BD) are limited. This study aimed to investigate the effect of ambient temperature and its effect modifiers on BD in Jinan.

Methods: Daily data of BD cases and meteorological factors from 2005 to 2013 were collected.