One-year mortality after acute stroke: a prospective cohort study from a comprehensive stroke care centre, Kerala, India

OBJECTIVES

The primary objective was to report the 1-year all-cause mortality among patients with stroke. The secondary objectives were (1) to report the mortality stratified by type of stroke and sex and (2) to report predictors of 1-year mortality among patients with stroke.

DESIGN

A prospective cohort study.

SETTING

Institutional-stroke care unit of a tertiary care hospital PARTICIPANTS: Patients who were treated in the study institution during 2016-2020 for acute stroke and were followed up for a period of 1 year after stroke in the same institution.

MAIN OUTCOME MEASURES

The main outcome measures were the mortality proportion of any stroke and first ever stroke cohorts at select time points, including in-hospital stay, along with 2 weeks, 2 months, 6 months and 1 year after index stroke. The secondary outcomes were (1) mortality proportions stratified by sex and type of stroke and (2) predictors of 1-year mortality for any stroke and first ever stroke.

RESULTS

We recruited a total of 1336 patients. The mean age of participants was 61.6 years (13.5 years). The mortality figures for 2 weeks, 2 months, 6 months and 12 months after discharge were 79 (5.9%), 88 (6.7%), 101 (7.6%) and 114 (8.5%), respectively, in the full cohort. The in-hospital mortality was 45 (3.4%). The adjusted analysis revealed 3 predictors for 1-year mortality after first ever stroke-age, pre-treatment National Institutes of Health Stroke Scale (NIHSS) score and Modified Rankin Scale (mRS) score at baseline. The same for the full cohort had only two predictors-age and pre-treatment NIHSS score.

CONCLUSION

Mortality of stroke at 1-year follow-up in the study population is low in comparison to several studies published earlier. The predictors of 1-year mortality after stroke included age, NIHSS score at baseline and mRS score at baseline.

A prediction model of health-related quality of life in young adult patients with stroke

AIMS AND OBJECTIVES

This study aimed to establish and test a predictive model for explaining the health-related quality of life of young adult patients with stroke.

BACKGROUND

Individual characteristics, biological and physiological variables, social support, emotional and cognitive symptoms, physical function disability and general health perception may be interrelated and may directly or indirectly affect the health-related quality of life of young adult patients with stroke.

DESIGN

A cross-sectional study.

METHODS

237 young outpatients with stroke were recruited and surveyed. Data collection used a structured questionnaire from July-November 2018. The collected data were analysed using SPSS version 25.0^® and AMOS 23.0. This study is based on STROBE guidelines.

RESULTS

The hypothetical model's fit indices were adequate. Stroke severity, social support, fear of stroke recurrence, physical function disability and general health perceptions directly affected the health-related quality of life. Additionally, stroke severity, depression and fear of stroke recurrence also indirectly affected it. These variables explained 60.3% of the variance in this quality.

CONCLUSIONS

Variables such as severity of stroke, depression, fear of stroke recurrence, social support, physical function disability and general health perception were found to be related to the HRQoL of young adult patients with stroke.

RELEVANCE TO CLINICAL PRACTICE

A variety of physical, psychological, functional and social factors related to health-related quality of life should be systematically monitored. Furthermore, nurses need to develop and apply detailed nursing interventions that take into account all these variables.

Survival of Stroke Patients According to Hypertension Status in Northern Ethiopia: Seven Years Retrospective Cohort Study

Background

Globally, stroke appears as a major cause of preventable deaths and disabilities. In Ethiopia, the intra-hospital mortality of stroke is significant; however, epidemiologic data are scarce whether there is a difference in the overall survival time between hypertensive and non-hypertensive adult stroke patients admitted in specialized hospitals. This study was intended to determine the survival of stroke patients according to their hypertension status admitted in Ayder Comprehensive Specialized Hospital, Northern Ethiopia from March 1, 2012, to February 28, 2019.

Methods and Findings

A hospital-based retrospective cohort study was conducted among all cohorts of confirmed first-ever stroke patients admitted in Ayder Comprehensive Specialized Hospital, Northern Ethiopia. Kaplan–Meier survival analysis was applied to estimate the survival probability of hypertensive and non-hypertensive first-ever stroke patients. Cox proportional hazards regression model was used to determine the adjusted hazard ratio of death for each main baseline predictor variable with 95% CI, and P-value <0.05 was used to declare statistical significance. The assumptions of the Cox proportional hazards regression model assessed by the global test, Schoenfeld residuals. There were 503 (323 were hypertensive, 180 Non-hypertensive) confirmed first, ever adult stroke patients, the overall median age of the patients was 65 years, IQR (53–75) years. Seventy-five (14.9%) of them were dead, with a median survival time of 48 days and 428 (85.1%) of them were censored. At any particular point in time, the hazard of death among hypertensive patients was two times higher than non-hypertensive patients, but this was not found to be a statistically significant (adjusted HR=2.13: 95% CI 0.66–6.81). Glasgow Coma Scale 3–8 at admission (adjusted HR=10.12; 95% CI 2.58–40.68), presence of stroke complications (adjusted HR=7.23; 95% CI 1.86–28.26) and borderline high total cholesterol level (adjusted HR=3.57; 95% CI 1.15–11.1) were the only independent predictors of intra-hospital patient mortality.

Conclusion

The overall survival time difference between hypertensive and non-hypertensive first-ever adult stroke patients was not statistically significant. Early identification and treatment of stroke complications, co-morbidities along strict follow-up of comatose patients may improve the intra-hospital survival of stroke patients, and we also recommend community-based studies using a large sample size.

A Retrospective Study on Risk Factors for Urinary Tract Infection in Patients with Intracranial Cerebral Hemorrhage

Objective

This study aimed to explore the risk factors of urinary tract infection (UTI) in patients with intracranial cerebral hemorrhage (ICH).

Design

This is a retrospective study, and a total of 77 patients with ICH consecutively admitted to the First Affiliated Hospital of USTC (Anhui Provincial Hospital, Hefei, China) during the period of August 2015 to August 2017 were included. The patients were divided into an UTI group (24 cases) and a non-UTI group (53 cases); patients with UTI were diagnosed according to clinical manifestations, recent urinary routines, and urine culture results. The following information in these two groups was recorded: age, sex, course of disease, side of paralysis, location and type of cerebral hemorrhage, disturbance of consciousness or not, the Brunnstrom stage of paralysed lower limbs, number of basic diseases, whether there were complications (tracheotomy, retention catheterization, pulmonary infection, pressure sore, deep venous thrombosis, etc.), whether rehabilitation interventions were conducted, blood routine, biochemistry index, DIC complete set, urine routine, and urine culture data. Univariate analysis and multivariate logistic regression analysis were used to examine the risk factors of UTI in patients with ICH.

Results

Univariate analysis showed that age, side of paralysis, disturbance of consciousness, the Brunnstrom stage of lower limbs, tracheotomies, retention catheterization, pulmonary infection, leukocyte count, neutrophil proportion, sodium, uric acid, D-dimer, and fibrinogen may be related to UTI in patients with ICH (P < 0.05). Regression analysis showed that age (OR (95% CI) = 1.207 (1.022–1.424), P < 0.05). Regression analysis showed that age (OR (95% CI) = 1.207 (1.022–1.424), P < 0.05). Regression analysis showed that age (OR (95% CI) = 1.207 (1.022–1.424), P < 0.05). Regression analysis showed that age (OR (95% CI) = 1.207 (1.022–1.424),

Conclusions

Increased age and high D-dimer are independent risk factors for UTI in patients with ICH, while right-sided paralysis is a protective factor for UTI in patients with ICH.

Survival After Ischemic and Hemorrhagic Stroke: A 4-Year Follow-Up at a Mexican Hospital

BACKGROUND

Overall, 75.2% of deaths from stroke occur in low- and middle-income countries. Mexico is a middle-income country with little information about the prognosis of early and late postischemic and hemorrhagic stroke.

OBJECTIVE

To evaluate the factors associated with post-stroke survival in the Mexican population.

METHODS

Observational study of consecutive stroke cases involving a first-ever hemorrhagic or ischemic stroke, with patients who received care at the National Institute of Neurology and Neurosurgery, in Mexico City, between 2009 and 2012. Patients were followed for up to 4 years after the index event. Exploratory analysis of survival was carried out with Kaplan-Meier and log-rank tests. Factors associated with survival time were determined using Cox models.

RESULTS

A total of 300 out of 544 (55.15%) patients had a hemorrhagic stroke, 135 of 544 (24.82%) patients died during the entire follow-up period, and 56 of 544 (10.29%) died in the first 30 days post-stroke (early mortality). Early mortality after stroke was associated with age ≥ 65 years (Adjusted Hazard Ratio - AHR = 2.07, P = .02) and ≥ 2 in-hospital medical complications (AHR = 46.13, P < .01). Late mortality was associated with age ≥ 65 years (AHR = 3.43, P < .01), ≥2 in-hospital medical complications (AHR = 2.55, P < .01), high comorbidity (AHR = 5.43, P < .01), and recurrence (AHR = 1.90, P = .01).

CONCLUSIONS

Patients with hemorrhagic and ischemic stroke who presented in-hospital medical complications, high comorbidity, and were over 65 years old had higher rates of early and late mortality.

Palliative care after stroke

Stroke is the leading cause of disability and one of the most common reasons of death around the world. Information is not sufficient on the palliative care (PC) needs of stroke patients and factors affecting their prognosis. In this study, we have investigated the demographics and comorbidities of stroke patients followed-up in a PC center (PCC), and the factors efficient on their prognosis. Medical records of 132 patients followed-up in PCC with stroke diagnosis between years 2016 and 2017 were reviewed retrospectively. Patients diagnosed with stroke were grouped as ischemic stroke, intracerebral hematoma (ICH) and subarachnoid hemorrhage (SAH). Age, gender, PCC hospitalization period (LOS), Glasgow Coma Scale, comorbidities such as percutaneous endoscopic gastrostomy, tracheostomy, pressure ulcer (PU), and discharge status (home, intensive care unit, exitus) have been compared for the patients included in the study. While average age was 72.41 ± 16.03 and hospitalization period was 35.47 ± 36.13 days, 92 patients (69.7%) were diagnosed with ischemic stroke, 20 patients (15.2%) with ICH, and 20 patients (15.2%) were diagnosed with SAH. The rate of exitus in patients diagnosed with ischemic stroke was significantly higher than patients diagnosed with ICH and SAH (p = 0.02), and hypertension rate was higher in patients with ischemic stroke than patients diagnosed with SAH (p = 0.007). The age of patients with exitus were found to be significantly higher (p = 0.001). Length of stay (LOS) in PC was determined to be significantly higher in patients with tracheostomy and patients diagnosed with ICH compared to patients with SAH. Furthermore, PU rate was significantly higher in patients diagnosed with ICH than patients with SAH (p = 0.007). Patients who experienced stroke and their families need comprehensive palliative care for psychosocial support, determination of patient-focused care objectives, and symptom management. There is a need for studies on larger populations to eliminate prognostic uncertainties and provide successful symptom management in patients following stroke.

Multimorbidities Are Associated to Lower Survival in Ischaemic Stroke: Results from a Brazilian Stroke Cohort (EMMA Study)

BACKGROUND

Stroke prognosis is related to the multimorbidity profile. Moreover, performing an individual evaluation of most common cerebrovascular risk factors (CVRF) not always identifies patients with poor prognosis. Thus, we decided to evaluate multimorbidity profile, focusing on the Charlson Comorbidity Index (CCI) validated by Goldstein for ischaemic stroke (IS) patients, a score that measures a burden of comorbidities and its related mortality in the long-term survival of the EMMA Study (Study of Stroke Mortality and Morbidity).

METHODS

Nine hundred fifty-nine individuals (median age 70 years) had validated data on the diagnosis of IS, main CVRF and clinical comorbidities pre index event such as atrial fibrillation (AF), stroke recurrence, diabetes, hypertension, heart failure and cancer. CCI modified by Goldstein was calculated, which includes 17 clinical conditions with scores ranging from 1 to 6 (0-31 points). Survival analyses were performed by Kaplan-Meier curves and Cox logistic regression models (cumulative hazard ratio [HR] with [95% CI]) for all-cause mortality at 180 days, and every 3 years up to 9-year follow-up. Mortality analyzes were performed by CCI categorized according to weight added to comorbidities (Reference group: zero, moderate: 1, severe: 2 and very severe: ≥3 points). We also tested the modification effect of AF and stroke recurrence including these conditions in the CCI.

RESULTS

The overall survival rate was 47% (508 deaths/959). The worst survival (577, 95% CI 381-773 days) and the highest risk of death after stroke were observed in the very severe CCI group (HR 3.18; 95% CI 2.16-4.69) up to 9 years. The inclusion of previous AF and stroke in the CCI slightly increased the risk of death for very severe CCI (HR 3.27; 95% CI 2.07-5.18).

CONCLUSIONS

A high burden of comorbidities represented an independent predictor of poor prognosis increasing the risk of dying by 2 to 3 times among IS up to 9 years in the EMMA study. The inclusion of other CVRF such as AF and stroke recurrence slightly modified all-cause mortality risk.