Latent class analysis of the sleep quality of night shift nurses and impact of shift-related factors on the occupational stress and anxiety.

AIMS: The objective of this study is to explore the various latent categories within the sleep quality of night shift nurses and to investigate whether shift-related factors predispose nurses to higher levels of occupational stress and anxiety. DESIGN: This is a cross-sectional study. METHODS: From November to December 2020, registered nurses from 18 tertiary hospitals and 16 secondary hospitals in Chongqing were selected through convenience sampling for this study. Latent class analysis was used to investigate the sleep quality of nurses working night shifts. Furthermore, univariate analysis and logistic multivariate analysis were utilized to identify the contributing factors to occupational stress and anxiety. RESULTS: The four latent categories of Pittsburgh Sleep Quality Index for night shift nurses were identified as 'Low Sleep Disorder Group' (56.34%), 'Moderate Sleep Disorder Group' (37.27%), 'High Sleep Disorder Non-Reliant on Sleeping medication Group' (4.89%) and 'High Sleep Disorder Reliant on Sleeping medication Group' (1.50%). The results showed that having a night-shift frequency of 3-4 times per month, night-shift durations of 9-12 h, sleep time delay after night shift (≥2 h), total sleep time after night shift less than 4 h were shift-related factors that increased the levels of occupational stress and anxiety. CONCLUSION: The sleep quality of night shift nurses demonstrates heterogeneity and can be classified into four latent categories. Higher frequency of night shifts, extended work hours and insufficient rest time are all associated with increased levels of occupational stress and anxiety. IMPACT: By identifying the four latent categories of sleep quality among night shift nurses, this study sheds light on the relationship between sleep patterns and levels of occupational stress and anxiety. These findings have important implications for healthcare institutions in the management of nurse well-being and work schedules. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Risk Factors for Post-Acute Coronary Syndrome Depression: A Meta-analysis of Observational Studies.

BACKGROUND: The incidence of depression is very common among patients with post-acute coronary syndrome (ACS) and leads to adverse outcomes. AIMS: The aim of this meta-analysis was to detect risk factors for depression among patients with ACS and to provide clinical evidence for its prevention. METHODS: The authors followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline to search the PubMed, Web of Science, EMBASE, and EBSCO databases from January 1996 to March 2018. Data that met the inclusion criteria were extracted to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk factors of post-ACS depression. RESULTS: A total of 30 articles met the inclusion criteria, and 25 risk factors were found to be associated with depression. The top 5 risk factors are as follows: antidepression treatment (OR, 4.25; 95% CI, 3.41-5.31), housewife status (OR, 4.17; 95% CI, 1.83-9.53), history of depressive disorders (OR, 3.52; 95% CI, 2.69-4.61), widow status (OR, 2.34; 95% CI, 1.05-5.21), and history of congestive heart failure (OR, 2.03; 95% CI, 1.04-3.97). The authors also found that a married status, high education level, and employment are protective factors. CONCLUSION: Clinical personnel should be alerted with regard to the high risk factors of depression, including female gender, low education level, unmarried status, living alone, unemployed status, unhealthy lifestyle, and complications such as cardiovascular, respiratory, and metabolic diseases. In particular, staff should pay attention to a history of previous depression, be concerned with the psychological condition of the patient, and monitor and perform early interventions to reduce the incidence of depression.

Research on the cause of death for severe stroke patients.

AIMS AND OBJECTIVES: To explore the characteristics of mortality among severe stroke patients, analyse their causes of death and provide evidence for improving the survival rate of stroke patients. BACKGROUND: Stroke is an important fatal and disabling disease that poses a large burden on its patients, and its high death rates have caused substantial concern to the World Health Organization. DESIGN: A retrospective case-control study. METHODS: A total of 188 patients who died of stroke in the neurological intensive care unit of the First Affiliated Hospital of Chongqing Medical University from January 2012-December 2015 were selected as cases. Additionally, 188 stroke survivors from the same neurological intensive care unit were randomly selected as paired cases. The clinical characteristics of the severe stroke patient deaths were analysed, and a univariate analysis was conducted to determine potential mortality risk factors. A logistic regression analysis was then conducted to determine the independent risk factors of mortality. RESULTS: We investigated a total of 231 cases of death in neurological intensive care unit patients, 188 of whom died of stroke. Therefore, the death rate from stroke accounted for 81.3% of the total population, with ischaemic, haemorrhagic and mixed strokes accounting for 47.19%, 26.84% and 7.36% of the patients, respectively. The leading cause of death was central nervous system-related causes (central respiratory and circulatory failure, brain herniation), followed by multisystemic causes. The independent risk factors of death among the neurological intensive care unit patients were as follows: brain herniation (OR = 18.15), multiple organ failure (OR = 13.12), dyslipidemia (OR = 4.64), community-acquired lung infection (OR = 4.15), use of mechanical ventilation (OR = 3.37), hypoproteinemia (OR = 2.29), history of hypertension (OR = 2.03) and hospital-acquired pneumonia (OR = 1.75). CONCLUSIONS: The most common cause of death in stroke patients was damage to the central nervous system. Independent risk factors were brain herniation, multiple organ failure, dyslipidemia, community-acquired lung infection, the use of mechanical ventilation, hypoproteinemia, a history of hypertension and hospital-acquired pneumonia. Clinicians should be aware of the presence and possible effects of these conditions. Early prevention, monitoring and intervention to modify controllable risk factors will improve patient prognosis. RELEVANCE TO CLINICAL PRACTICE: Clinicians should be aware of the multiple independent risk factors of death and implement timely treatment measures to reduce the incidence of death in severe stroke patients.

Risk factors for lung infection in stroke patients: a meta-analysis of observational studies.

BACKGROUND: The aims of this meta-analysis were to evaluate the risk factors associated with lung infections in stroke patients and to provide evidence for prevention decisions. METHODS: We searched the Embase, PubMed, EBSCO and Web of Science databases to collect studies from January 2000 to July 2015. RESULTS: The meta-analysis identified 23 risk factors for lung infections in stroke patients, and the top 5, ranked by order according to odds ratio values (95% confidence interval), were as follows: multiple vertebrobasilar stroke, 22.99 (4.04, 130.83); National Institutes of Health Stroke Scale score >15 points, 14.63 (8.54, 25.08); mechanical ventilation, 10.20 (7.15, 14.57); nasogastric tube use, 9.87 (6.21, 15.70); and dysphagia, 7.50 (2.60, 21.65). CONCLUSION: Preventive measures should be taken against these risk factors to reduce the incidence of lung infection.

Characteristics and prognosis of pulmonary infection in patients with neurologic disease and hypoproteinemia.

OBJECTIVE: To examine the characteristics and the prognostic influence of pulmonary infections in neurologic disease patients with mild-to-severe hypoproteinemia. METHODS: We used a retrospective survey method to analyze the characteristics and prognoses of 220 patients with hypoproteinemia complicated with pulmonary infection in the Internal Medicine-Neurology Intensive Care Unit at the First Affiliated Hospital of Chongqing Medical University from January 2010 to December 2013. The patients were divided into mild, moderate and severe hypoproteinemia groups according to their serum albumin levels. The analysis included patient age, sex, acute physiology and chronic health evaluation (APACHE II score), and characteristics of the pulmonary infection, nutritional support and prognosis, among others. RESULTS: Differences in the general information of the 220 cases of hypoalbuminemia patients complicated with varying degrees of pulmonary infection (APACHE II score, age, disease distribution) were statistically significant. The pulmonary infection onset time and pathogen susceptibility in the patients with mild-to-severe hypoalbuminemia were not significantly different. Pulmonary infection onset was more frequently observed within the first 3-11 days following admission in all groups. The nutritional support method did not significantly influence serum albumin protein levels. However, the neurological intensive care unit stay length, total hospitalization cost and disease distribution were significantly different among the patient groups. CONCLUSIONS: Patients with cerebrovascular disease, intracranial infections and epilepsy complicated with pulmonary infection represent the high-risk groups for hypoalbuminemia. The Acinetobacter baumannii complex represents the main group of pathogenic bacteria causing lung infections, and the high-risk period for lung infections is 3-11 days after the occurrence of hypoalbuminemia. Patients with severe hypoalbuminemia complicated with pulmonary infection have the worst prognoses.