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This study explored the impact of different care modes on the outcome of hospitalized patients with acute ischaemic stroke (AIS) during hospitalization and 3 months after discharge.
This was a prospective cohort study comparing the outcomes at hospitalization, at discharge, and at 3 months post discharge among AIS patients with different caregiving arrangements from 9, December 2022 to 20, August 2023. The general information questionnaire, Modified Barthel Index, Shortened General Comfort Questionnaire, Perceived Social Support scale, Herth Hope Index, modified Rankin scale and EQ-5D-5L were utilized for the investigation.
The psychological evaluation scores during hospitalization, including comfort, perceived social support, and hope, did not significantly differ between the two groups of AIS patients (p > .05). Moreover, there were no significant impacts observed in terms of length of stay (LOS) at the hospital or hospitalization expense (p > .05). The proportion of patients with intact functionality was greater in the family caregiver group 3 months after discharge (16.5%). However, when stratified based on prognosis, the difference in outcomes between the two groups of patients did not reach statistical significance (p > .05). The analysis of ADL, quality of life and stroke recurrence in 276 surviving ischaemic stroke patients 3 months post discharge indicated no differences between the two groups across all three aspects (p > .05).
Older and divorced or widowed AIS patients tend to prefer professional caregivers. The psychological state during hospitalization, length of hospital stay and hospitalization expenses are not influenced by the caregiving model. Three months post discharge, a greater proportion of patients in the family caregiving group had intact mRS functionality, but this choice did not impact patient prognosis, stroke recurrence, quality of life or independence in ADL.
We aimed to quantitatively and systematically elucidate the rationality of the examined variables as independent risk factors for sternal wound infection. We searched databases to screen studies, ascertained the variables to be analysed, extracted the data and applied meta-analysis to each qualified variable. Odds ratios and mean differences were considered to be the effect sizes for binary and continuous variables, respectively. A random-effects model was used for these procedures. The source of heterogeneity was evaluated using a meta-regression. Publication bias was tested by funnel plot and Egger's test, the significant results of which were then calculated using trim and fill analysis. We used a sensitivity analysis and bubble chart to describe their robustness. After screening all variables in the eligible literature, we excluded 55 because only one or no research found them significant after multivariate analysis, leaving 33 variables for synthesis. Two binary variables (age over 65 years, NYHA class >2) and a continuous variable (preoperative stay) were not significant after the meta-analysis. The most robust independent risk factors in our study were diabetes mellitus, obesity, use of bilateral internal thoracic arteries, chronic obstructive pulmonary disease, prolonged surgery time, prolonged ventilation and critical preoperative state, followed by congestive heart failure, atrial fibrillation, renal insufficiency, stroke, peripheral vascular disease and use of an intra-aortic balloon pump. Relatively low-risk factors were emergent/urgent surgery, smoking, myocardial infarction, combined surgery and coronary artery bypass grafting. Sternal wound infection after open-heart surgery is a multifactorial disease. The detected risk factors significantly affected the wound healing process, but some were different in strength. Anything that affects wound healing and antibacterial ability, such as lack of oxygen, local haemodynamic disorders, malnutrition condition and compromised immune system will increase the risk, and this reminds us of comprehensive treatment during the perioperative period.
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