In Hospital Stroke Mortality: Rates and Determinants in Southwestern Saudi Arabia

Prognostic model of in-hospital ischemic stroke mortality based on an electronic health record cohort in Indonesia

Stroke patients rarely have satisfactory survival, which worsens further if comorbidities develop in such patients. Limited data availability from Southeast Asian countries, especially Indonesia, has impeded the disentanglement of post-stroke mortality determinants. This study aimed to investigate predictors of in-hospital mortality in patients with ischemic stroke (IS). This retrospective observational study used IS medical records from the National Brain Centre Hospital, Jakarta, Indonesia. A theoretically driven Cox's regression and Fine-Gray models were established by controlling for age and sex to calculate the hazard ratio of each plausible risk factor for predicting in-hospital stroke mortality and addressing competing risks if they existed. This study finally included 3,278 patients with IS, 917 (28%) of whom had cardiovascular disease and 376 (11.5%) suffered renal disease. Bivariate exploratory analysis revealed lower blood levels of triglycerides, low density lipoprotein, and total cholesterol associated with in-hospital-stroke mortality. The average age of patients with post-stroke mortality was 64.06 ± 11.32 years, with a mean body mass index (BMI) of 23.77 kg/m2 and a median Glasgow Coma Scale (GCS) score of 12 and an IQR of 5. Cardiovascular disease was significantly associated with IS mortality risk. NIHSS score at admission (hazard ratio [HR] = 1.04; 95% confidence interval [CI]: 1.00-1.07), male sex (HR = 1.51[1.01-2.26] and uric acid level (HR = 1.02 [1.00-1.03]) predicted survivability. Comorbidities, such as cardiovascular disease (HR = 2.16 [1.37-3.40], pneumonia (HR = 2.43 [1.42-4.15] and sepsis (HR = 2.07 [1.09-3.94, had higher hazards for post-stroke mortality. Contrarily, the factors contributing to a lower hazard of mortality were BMI (HR = 0.94 [0.89-0.99]) and GCS (HReye = 0.66 [0.48-0.89]. In summary, our study reported that male sex, NIHSS, uric acid level, cardiovascular diseases, pneumonia, sepsis. BMI, and GCS on admission were strong determinants of in-hospital mortality in patients with IS.

Incidence of mortality and risk factors among adult stroke patients in public hospitals Jigjiga town Somali region, Ethiopia: Cohort study design

Background

A stroke is a sudden loss of blood supply to the brain, leading to permanent tissue damage caused by embolism, thrombosis, or hemorrhagic events. Almost 85% of strokes are ischemic strokes.

Objective

To assess the incidence of mortality and risk factors among adult stroke patients in public hospitals of Jigjiga town, Somali Region, Ethiopia.

Methods

An institution-based retrospective cohort study was conducted from 25 May to 15 June 2022 at Sheikh Hassen Yabare Referral Hospital and Karamara Hospital. Data were entered using Epi-Data version 4.3 and exported to be analyzed using SPSS 20 statistical software. Kaplan-Meier was used to estimate mean survival time, and a predictor with a p-value < 0.05 was considered to have a significant in multivariate Cox regression.

Results

About 480 stroke patients' charts were included in this study; among those, 229 (53.3%) were male stroke patients, and 259 (60.2%) had an ischemic stroke. The overall incidence rate was 7.15 deaths per 1000 person-day observations. The overall median survival time for adult stroke patients was 120 days. GCS level b/n 3-8 has a lower survival time with a mean survival time of 57 days (95% CI: 48.8-66.7) as compared to those who had GCS level 9-12 with a mean survival time of 103 days (95% CI: 93.4-112.9). Age ⩾ 71 (AHR = 1.9; 95% CI: 1.02-3.45), presence of pneumonia (AHR = 2.7; 95% CI: 1.52-4.63), and history of hypertension (AHR = 2.07; 95% CI: 1.08-3.89) were the predictors of mortality among stroke patients.

Conclusion

According to the findings of this study, the incidence of mortality was high, at 7.15 per 1000 person-years. The presence of pneumonia, decreased GCS, age ⩾ 7, and history of hypertension were predictors of mortality in adult stroke patients.

Predictors of 30-day mortality following the first episode of stroke among patients admitted at referral hospitals in Dodoma, central Tanzania: A prospective longitudinal observational study

Background and Aims

Stroke is the leading cause of disability and the second most common cause of death after ischemic heart disease worldwide. Understanding predictors of early poststroke mortality provides opportunities for interventions and favorable outcomes. This study aimed to determine the incidence and predictors of 30-day mortality among patients admitted with the first stroke at referral hospitals in Dodoma.

Methods

A prospective longitudinal observational design enrolled patients with acute stroke confirmed by CT scan or MRI admitted at referral hospitals in Dodoma. The National Institute of Health Stroke Scale was used to assess stroke severity at baseline. A comparison of risk factors, clinical profiles, and mortality was done using the Chi-square test. A logistic regression model was used to determine the predictors of 30-day mortality in patients with the stroke while the 30-day probability of survival was estimated using Kaplan-Meier analysis.

Results

Out of 226 patients with first-ever stroke, 121(54%) were males, and the population mean age was 63(15) years. The 140(62%) had Ischemic stroke, and 154(68%) survived at the 30th day. Patients with a history of smoking 2.4 [95% confidence interval (CI) (1.0-5.6), p = 0.048], loss of consciousness 2.7 [95% CI (1.2-6.4; p = 0.019] and unequal pupil size 13.7 [95% CI (4.1-58.1, p < 0.001 were significantly more associated with mortality within 30 days. The median survival was 7 (3-9) days, whereas alcohol drinkers and those aged above 60 years had a shorter time to mortality compared to non-alcohol drinkers and those aged <60 years.

Conclusion

The study showed a high incidence of mortality within 30 days after the first stroke episode, with the highest proportion dying within 7 days of being hospitalized. Advanced age of ≥60 years, smoking, alcohol use, and severe stroke at admission warrant special attention.

The Effect of the Charlson Comorbidity Index On In-Hospital Complications, Hospital Length of Stay, Mortality, and Readmissions Among Patients Hospitalized for Acute Stroke

Aim A notable number of people who develop stroke have comorbid medical conditions. The aim of this study is to evaluate the use of the Charlson Comorbidity Index (CCI) to predict in-hospital complications, mortality, length of stay, and readmission rates in stroke patients. Method It is a retrospective study that analyzed patients who were admitted for stroke in a six-month time duration. Stroke was classified into ischemic, hemorrhagic, or undetermined; hospital complications were classified into medical or neurological. Data regarding comorbidities, complications, length of stay, mortality, and readmissions were documented. Comorbidities were then classified by the CCI and split into four categories: zero, mild (1-2), moderate (3-4) and severe (5+). The data was analyzed using SPSS (IBM, Inc., Armonk, US). Results Four hundred and seventy-three adults aged above 18 were hospitalized for acute stroke. There was no correlation between the severity of the CCI score and mortality. Patients with ischemic stroke had a higher CCI correlated with readmission rate (p=0.026) and hospital complications (p=0.054). The two groups with the highest intensive care unit admission rate were mild, followed by the severe group (p=0.001). Our study also revealed that the patients with severe CCI scores had an increased readmission rate (p=0.001). Conclusion There is a correlation between a high CCI score and readmission rate, as well as CCI score with hospital complications in ischemic stroke. Further prospective studies of a longer duration can be undertaken to find further associations with the potential for this score to be used as a predictor in patients hospitalized for stroke.

Exploring the utility of a latent variable as comprehensive inflammatory prognostic index in critically ill patients with cerebral infarction

Objective

We introduce the comprehensive inflammatory prognostic index (CIPI), a novel prognostic tool for critically ill cerebral infarction patients, designed to meet the urgent need for timely and convenient clinical decision-making in this high-risk patient group.

Methods

Using exploratory factor analysis on selected indices-neutrophil to lymphocyte ratio (NLR), systemic inflammation response index (SIRI), and systemic immune inflammation index (SIII)-we derived CIPI, a latent variable capturing their combined predictive power. Data from 1,022 patients in the Medical Information Mart for Intensive Care (MIMIC)-IV database were used to develop CIPI-based survival models, with the robustness and area under the receiver operating characteristic curve (AUC) performance of CIPI validated against an independent dataset of 326 patients from the MIMIC-III CareVue subset. The CIPI's predictive power for in-hospital and intensive care unit (ICU) mortality was assessed through Kaplan-Meier analysis, univariate and multivariate Cox regression models, and time-dependent AUC analysis. Linearity, subgroup sensitivity analyses and interaction effects with CIPI were also evaluated.

Results

CIPI was an independent prognostic factor, demonstrating a statistically significant association with in-hospital and ICU mortality, when assessed as a continuous and a categorical variable. It showed a linear relationship with mortality rates and demonstrated stability across most subgroups, with no significant interactions observed. Its predictive capabilities for in-hospital and ICU mortality among critically ill cerebral infarction patients matched those of established prognostic indices in the MIMIC database.

Conclusion

Our study indicates that CIPI is a reliable and effective prognostic tool for critically ill cerebral infarction patients in predicting in-hospital and ICU mortality. Its straightforward calculation, rooted in routine blood tests, enhances its practicality, promising significant utility in clinical settings.

Al Meslamani A. Assessment of Knowledge and attitude towards Stroke among the UAE population during the COVID-19 pandemic: A cross-sectional study

Background: Despite significant advancements in healthcare, the burden of stroke continues to rise in the developed world, especially during the COVID-19 pandemic. Association between COVID-19 infection and stroke is well established. Factors identified for the delay in presentation and management include a lack of awareness regarding stroke. We aimed to assess the general public knowledge and attitudes on stroke and stroke risk factors in the United Arab Emirates during the COVID-19 pandemic. Methods: A cross-sectional study was conducted between September 2021 and January 2022 among adults≥ 18 years old. Participants completed a self-administered questionnaire on sociodemographic characteristics and stroke knowledge and attitudes. Knowledge and attitude scores were calculated based on the number of correct responses. Linear regression analysis was performed to determine the factors related to knowledge and attitude towards stroke. Results: Of the 500 respondents, 69.4% were females, 53.4% were aged between 18 and 25, and nearly half were students (48.4%). The mean knowledge score was 13.66 (range 2-24). Hypertension (69%), smoking (63.2%), stress (56.4%) obesity/overweight (54.4%), and heart disease (53.6%) were identified as risk factors. Overall, the knowledge of signs/symptoms was suboptimal. The mean attitude score was 4.41 (range, 1-6); 70.2% would call an ambulance if someone were having a stroke. A monthly income of 11,000-50,000 AED and being a student were associated with positive knowledge. Being a non-health worker and lacking access to electronic media sources were associated with worse attitudes. Conclusion: Overall, we identified poor knowledge and suboptimal attitudes toward stroke. These findings reflect the need for effective public health approaches to improve stroke awareness, knowledge, and attitudes for effective prevention in the community. Presently, this is of utmost necessity, given the increased occurrence of stroke and its severity among COVID-19 patients.

Association of baseline fasting plasma glucose with 1-year mortality in non-diabetic patients with acute cerebral infarction: a multicentre observational cohort study

OBJECTIVES

Evidence on the association between fasting blood glucose and mortality in non-diabetic patients who had a stroke is limited. We aimed to investigate the association of baseline fasting plasma glucose (FPG) with 1 year all-cause mortality in non-diabetic patients with acute cerebral infarction (ACI).

DESIGN

A multicentre prospective cohort study.

SETTING

Four grade A tertiary hospitals in the Xi'an district of China.

PARTICIPANTS

A total of 1496 non-diabetic patients within 7 days of ACI were included.

MAIN OUTCOME MEASURES

The outcome was 1 year all-cause mortality. Baseline FPG was analysed as a continuous variable and was divided into four quartiles (group Q1-group Q4). We used multivariable Cox regression analyses, curve fitting and Kaplan-Meier (K-M) analyses to explore the association of baseline FPG with 1 year all-cause mortality in non-diabetic patients with ACI.

RESULTS

After controlling for confounders, multivariable Cox regression analyses indicated a 17% increase in 1 year all-cause mortality for every 1 mmol/L of baseline FPG increase (HR=1.17, 95% CI 1.02 to 1.35, p=0.030). Patients from the Q4 group had 2.08 times increased hazard of 1 year all-cause mortality compared with the Q1 group (HR=2.08, 95% CI 1.13 to 3.82, p=0.019), while the survival rate of patients in group Q4 was decreased compared with that in other groups (p<0.001). The curve fitting revealed a positive but non-linear association of baseline FPG with 1-year all-cause mortality in non-diabetic patients with ACI.

CONCLUSION

In non-diabetic patients with ACI, elevated baseline FPG is an independent risk factor for 1-year all-cause mortality, and the two are positively and non-linearly associated. These results suggest that high FPG should be seen as a concern in non-diabetic patients with ACI.

A Spatial Variation Analysis of In-Hospital Stroke Mortality Based on Integrated Pre-Hospital and Hospital Data in Mashhad, Iran

BACKGROUND

Despite significant advances in the quality and delivery of specialized stroke care, there still persist remarkable spatial variations in emergency medical services (EMS) transport delays, stroke incidence, and its outcomes. Therefore, it is very important to investigate the possible geographical variations of in-hospital stroke mortality and to identify its associated factors.

METHODS

This historical cohort study included suspected stroke cases transferred to Ghaem Hospital of Mashhad by the EMS from March 2018 to March 2019. Using emergency mission IDs, the pre-hospital emergency data were integrated with the patient medical records in the hospital. We used the Bayesian approach for estimating the model parameters.

RESULTS

Out of 301 patients (142 (47.2%) females vs. 159 (52.8%) males) with a final diagnosis of stroke, 61 (20.3%) cases had in-hospital mortality. Results from Bayesian spatial log-logistic proportional odds (PO) model showed that age (PO=1.07), access rate to EMS (PO=0.78), arrival time (evening shift vs. day shift, PO=0.09), and sequelae variables (PO=9.20) had a significant association with the odds of in-hospital stroke mortality (P<0.05). Furthermore, the odds of in-hospital stroke mortality were higher in central urban areas compared to suburban areas.

CONCLUSION

Marked regional variations were found in the odds of in-hospital stroke mortality in Mashhad. There was a direct association between age and odds of in-hospital stroke mortality. Hence, the prognosis of in-hospital stroke mortality could be improved by better control of hypertension, prevention of the occurrence of sequelae, increasing the access rate to EMS, and optimizing shift work schedule.

Case fatality rate and its determinants among admitted stroke patients in public referral hospitals, Northwest, Ethiopia: A prospective cohort study

According to the global burden of disease 5.5 million deaths were attributable to stroke. The stroke mortality rate is estimated to be seven times higher in low-income countries compared to high-income countries. The main aim of the study was to assess the 28 days case fatality rate and its determinants among admitted stroke patients in public referral hospitals, in Northwest Ethiopia. A hospital-based prospective cohort study was conducted from December 2020 to June 2021. The study population was 554 stroke patients. Based on Akakian Information Criteria, the Gompertz model was fitted to predict the hazard of death. The study included admitted stroke patients who were treated in the general medical ward and neurology ward. The mean age of the participants was 61 ± 12.85 years and 53.25% of the patients were female. The 28-days case fatality rate of stroke was 27.08%. The results from Gompertz parametric baseline hazard distribution revealed that female sex adjusted hazard rate (AHR = 0.27, 95% CI:0.18–0.42), absence of a family history of chronic disease (AHR = 0.50, 95%CI:0.29–0.87), good GCS score (AHR = 0.21, 95% CI:0.09–0.50) and the absence of complication during hospital admission (AHR = 0.16, 95% CI:0.08–0.29) were factors which decrease hazard of 28 days case fatality rate. While, hemorrhagic stroke sub-type (AHR = 1.38, 95% CI:1.04–3.19), time from symptom onset to hospital arrival (AHR = 1.49, 95% CI:1.57–2 .71), time from confirmation of the diagnosis to initiation of treatment (AHR = 1.03, 95% CI:1.01–1.04), a respiratory rate greater than 20 (AHR = 7.21, 95% CI:3.48–14.9), and increase in NIHSS score (AHR = 1.16, 95% CI:1.10–1.23) were factors increasing hazard of 28 days case fatality rate of stroke. At 28-days follow-up, more than one-fourth of the patients have died. The establishment of separate stroke centers and a network of local and regional stroke centers with expertise in early stroke evaluation and management may address challenges.

In-hospital mortality and its predictors among adult stroke patients admitted in Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia

Introduction

Stroke is the second-leading global cause of death next to ischemic heart disease. The burden of stroke mortality, morbidity, and disability is increasing across the world. In Ethiopia, evidence on the survival status of adult stroke patients is insufficient. The purpose of this study is to estimate in-hospital mortality and its predictors among adult stroke patients.

Methods

Institution-based retrospective follow-up study was conducted on adult stroke patients who were admitted to Debre Markos Comprehensive Specialized Hospital from 1 November 2015 to 31 October 2020. Through simple random sampling, 382 patient charts were selected from 1125 stroke patients for 5 years follow-up period. Data were entered using EpiData™ version 4.1 and exported to Stata/SE™ version 14 for cleaning, coding, categorizing, and analysis. Predictor variables were selected using 95% confidence interval with a corresponding adjusted hazard ratio.

Results

In this study, 219 (57.33%) males and the mean (standard deviation) age of 57.65 ± 14.3 years. The in-hospital mortality rate of stroke was 12.8%; the median (interquartile range) time to mortality and Glasgow Coma Scale were 7 (4-13) days and 14 (11-15), respectively. The incidence of in-hospital mortality was 29/1000, 11/1000, 8/1000, and 13.6/1000 person-days in the first, second, third, and end of follow-up weeks, respectively. Pneumonia (adjusted hazard ratio = 3.51 (95% confidence interval = 1.86, 6.61)), hemorrhagic stroke (adjusted hazard ratio = 2.03 (95% confidence interval = 1.03, 3.99)), moderate impairment Glasgow Coma Scale (9-12) (adjusted hazard ratio = 2.16 (95% confidence interval = 1.08, 4.29)), severe impairment Glasgow Coma Scale (3-8) (adjusted hazard ratio = 2.38 (95% confidence interval = 1.01, 5.67)), history of hypertension (adjusted hazard ratio = 2.01 (95% confidence interval = 1.08, 3.74)), and increased intracranial pressure (adjusted hazard ratio = 2.12 (95% confidence interval = 1.10, 4.07)) were statistically significant predictors for in-hospital mortality.

Conclusion

In-hospital mortality of stroke was relatively high, and the median time to mortality was 8 days. Pneumonia, hemorrhagic stroke, Glasgow Coma Scale, history of hypertension, and increased intracranial pressure were identified predictors.

Health outcomes after acute ischemic stroke:retrospective and survival analysis from Oman

BACKGROUND

Stroke mortality and related functional disability have been declining over the last two decades, but stroke continues to represent the second leading cause of cardiovascular death worldwide and the number one cause for acquired long-term disability.

OBJECTIVES

Assess short- and long-term health outcomes after acute ischemic stroke and analyze factors associated with poor survival and functional outcomes.

DESIGN

Retrospective and survival analysis SETTING: Inpatient unit at a tertiary care referral hospital.

PATIENTS AND METHODS

All patients admitted with acute ischemic stroke from 1 January 2017 to 31 August 2018 were included in the study. Functional status was assessed using the modified Rankin Scale (mRS). Other demographic and clinical variables were obtained from medical records. Data were analyzed by multivariable logistic regression, Cox proportional hazards, and the Kaplan-Meier method. Long-term follow-up data, including mortality and mRS was collected by follow-up phone call.

MAIN OUTCOME MEASURES

Functional dependency and factors associated with mortality.

SAMPLE SIZE AND CHARACTERISTICS

110 with mean age of 67.0 (14.7) years; 59 patients (53.6%) were males.

RESULTS

Hypertension (75.5%), diabetes mellitus (54.6%), and dyslipidemia (29.1%) were common. Sixty-five patients (59.1%) had mRS >2 upon discharge including 18 patients (16.4%) who died during the hospital stay. The cumulative mortality rate was 25.4% (28/110) at 12 months and 30.0% (33/110) at 24 months. Twenty-nine stroke survivors (29/70, 41.4%) remained physically dependent (mRS >2) at the end of follow-up. Old age, atrial fibrillation, history of prior stroke, chronic kidney disease, and peripheral arterial disease were associated with increased mortality and functional dependence.

CONCLUSIONS

Patients in Oman with acute ischemic stroke tend to have a high comorbidity burden, and their functional dependency and mortality are higher compared to patients from developed countries. Therefore, evidence-based measures such as establishing stroke units are essential to improve the health outcomes of patients with acute ischemic stroke.

LIMITATIONS

Retrospective at single center.

CONFLICT OF INTEREST

None.

Prognostic factors of the lethality of stroke at the Sourô Sanou University Teaching Hospital (CHUSS) of Burkina Faso

Introduction

Stroke is a major public health concern. It is a frequent pathology, 80% of which is of ischemic origin. Approximately 86% of all stroke deaths worldwide occur in low- and middle-income countries. The objective of this study was to investigate prognostic factors for in hospital lethality of stroke cases admitted in a public university hospital in Burkina Faso.

Methods

This was a retrospective cohort study with a descriptive and analytical aim on adults admitted for a stroke confirmed by a brain scan at the Sourô Sanou University Teaching Hospital (CHUSS) of Bobo-Dioulasso over the period from January 1, 2009, to December 31, 2013.

Results

The proportion of cases confirmed by the brain CT scan was 32% of all patients admitted for stroke in the CHUSS. The overall case fatality was 27.6%. This lethality was more pronounced in patients with hemorrhagic stroke (35.8%) compared to patients with ischemic stroke (22.4%). Median survival was higher in patients with ischemic stroke than those with hemorrhagic one (36 and 25 days, respectively) with a statistically significant difference (p value = 0.001). In multivariate analysis and hemorrhagic stroke (hazard ratio [HR]: 2.25; CI 95%: 1.41–3.61), an altered state of consciousness (HR: 1.90; CI 95%: 1.20–2.99) and the presence of central facial paralysis (HR: 1.67; CI 95%: 1.04–2.67) are factors that increased significantly the lethality.

Conclusion

The study has identified three prognostic factors of lethality that are the hemorrhagic stroke type, the altered state of consciousness, and the central facial paralysis. Given the high case fatality, it is important to develop and implement effective prevention and management strategies adapted to the resources for the optimal control of stroke in Africa.

Determinants of Stroke Mortality through Survival Models: The Case of Mettu Karl Referral Hospital, Mettu, Ethiopia

Introduction

Every year worldwide, between five to six million deaths are associated with stroke; on average, one stroke-related death occurs every four minutes. In Ethiopia, stroke is a frequent cause of mortality and morbidity from noncommunicable diseases. Therefore, this study was aimed at determining factors associated to stroke mortality through survival models in Mettu Karl Referral Hospital.

Methods

This study was conducted from September 1, 2014, to April 1, 2017, and encompassed 202 stroke patients at Mettu Karl Referral Hospital. The Cox semiparametric regression was used for analyzing survival analysis of stroke patients using R software.

Results

A total of 202 stroke patients were included in the study, and among those patients, 72.8% and 27.2% were censored and died, respectively. According to the result of Cox semiparametric regression model, sex of patients, hypertension, baseline complication, and stroke type had significant effect on survival of the stroke patient at 5% significance level.

Conclusion

The results from Cox semiparametric regression model indicated that sex of patients, hypertension, baseline complication, and stroke type were major factors related to the survival time of stroke patients. The researcher recommends that the people should be aware on the burden of those risk factors and well informed about the disease.

Temporal trend of comorbidity and increasing impacts on mortality, length of stay, and hospital costs of first stroke in Tianjin, North of China

BACKGROUND

Stroke patients have a high incidence of comorbidity. Previous studies have shown that comorbidity can impact on the short-term and long-term mortality after stroke.

METHODS

Our study aimed to explore the trend of comorbidity among patients with first stroke from 2010 to 2020, and the influence of comorbidity on admission mortality, length of stay and hospitalization costs. 5988 eligible patients were enrolled in our study, and divided into 4 comorbidity burden groups according to Charlson comorbidity index (CCI): none, moderate, severe, very severe. Survival analysis was expressed by Kaplan-Meier curve. Cox regression model was used to analyze the effect of comorbidity on 7-day and in-hospital mortality. Generalized linear model (GLM) was used to analyze the association between comorbidity and hospitalization days and cost.

RESULTS

Compared to patients without comorbidity, those with very severe comorbidity were more likely to be male (342, 57.7%), suffer from ischemic stroke (565, 95.3%), afford higher expense (Midian, 19339.3RMB, IQR13020.7-27485.9RMB), and have a higher in-hospital mortality (60, 10.1%). From 2010 to 2020, proportion of patients with severe and very severe comorbidity increased 12.9%. The heaviest comorbidity burden increased the risk of 7-day mortality (adjusted hazard ratio, 3.51, 95% CI 2.22-5.53) and in-hospital mortality (adjusted hazard ratio, 3.83, 95% CI 2.70-5.45). Patients with very severe comorbidity had a 12% longer LOS and extra 27% expense than those without comorbidity.

CONCLUSIONS

Comorbidity burden showed an increasing trend year in past eleven years. The heavy comorbidity burden increased in-hospital mortality, LOS, and hospitalization cost, especially in patients aged 55 years or more. The findings also provide some reference on improvement of health care reform policies and allocation of resources.

Patterns and outcomes of stroke thrombolysis in a large tertiary care hospital in Riyadh, Saudi Arabia

Objectives:

To present the experience on stroke thrombolysis of a tertiary care center in Riyadh, KSA.

Methods:

Cross-sectional, observational study of patients thrombolyzed between January 2012 and December 2018.

Results:

Thrombolysis was performed in 148 patients (mean age: 58.2±14.5 years), 94 (63.5%) of them were men. The median onset-to-door time was 81 minutes, and 25% of the patients arrived within 1 hour. The median National Institute of Health Stroke Scale score upon admission was 13. Hypertension (68.9%), diabetes (56.1%), and dyslipidemia (40.5%) were the most common risk factors for stroke. The most common mechanism of stroke was cardioembolism (43.2%), which was associated with a more severe presentation (p=0.031). Intravenous thrombolysis alone was given to 98 patients (66.2%); the rest received intravenous tissue plasminogen activator plus endovascular therapy or endovascular therapy alone. The median door-to-needle (DTN) time was 70.5 min, with a significant improvement from 2012 (111.6 minutes) to 2018 (69.9 minutes) (p<0.001). Among the patients, 53 (35.8%) showed a good outcome (with a modified Rankin score of 0–2) whereas 14 (9.5%) died. Symptomatic intracranial hemorrhage (sICH) was seen in 8.1%. All vascular risk factors were more common in patients aged >60 years, except smoking, which was more common in the younger age group (p=0.007).

Conclusion:

In our cohort, the utilization of thrombolysis and the DTN time improved over time. One-thirds of the patients received endovascular treatment. Moreover, the frequency of the vascular risk factors was high. Compared with the published findings, our results showed that cardioembolic strokes were the most frequent and had severe presentation and were likely the cause of the slight increase in mortality and sICH.

Risk factors for in-hospital mortality among acute ischemic stroke patients in China: a nationwide prospective study

Objective: We aimed to investigate factors related to in-hospital mortality (IHM) in acute ischemic stroke (AIS) patients.Methods: We prospectively investigated 827,314 patients who were admitted within 7 days of AIS between August 2015 and July 2019. Demographic characteristics, risk factors, and clinical and laboratory characteristics of patients were assessed. Univariate and multivariate logistic regression analyses were performed to identify predictors associated with IHM.Results: The IHM rate in this study was 0.5% in women and 0.3% in men. Factors associated with IHM in AIS included diabetes (odds ratio [OR] 1.21, 95% confidence interval [CI] 1.03-1.43), female (OR 0.84, 95%CI 0.74-0.96), hypertension (OR 1.16, 95%CI 1.01-1.34), atrial fib/flutter (OR 1.51, 95%CI 1.29-1.77), other heart disease (OR1.43, 95%CI 1.23-1.67), prior myocardial infarction (OR 2.00, 95%CI 1.54-2.60), antiplatelet therapies (OR 0.71, 95%CI 0.60-0.84), gastrointestinal bleeding (OR 3.54, 95%CI 2.83-4.44), pulmonary embolism (OR 2.53, 95%CI1.41-4.53), dysphagia(OR7.32, 95%CI6.23-8.61), glycosylated hemoglobin (OR1.05, 95%CI 1.02-1.09), serum creatinine (OR 1.001, 95%CI 1.001-1.002), urea nitrogen (OR 1.10, 95%CI 1.08-1.12), National Institutes of Health Stroke Scale (NIHSS) score (4-5 vs. 0-4: OR 3.58; ≥15 vs. 0-4: OR 8.78), stroke rehabilitation (OR 0.27, 95%CI 0.23-0.30), age (third IQR vs. first IQR: OR 1.57; fourth IQR vs. first IQR: OR 2.23), and in-hospital stroke/TIArecurrence (OR 2.38, 95%CI 2.03-2.78).Conclusions: The findings from this study may help clinicians control the risk of IHM better for patients with AIS.

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.

Hemoglobin level is associated with severe stroke among stroke patients in Saudi Arabia

OBJECTIVES

The purpose of this study was to examine the association between abnormal hemoglobin (Hb) level and stroke severity (as assessed by the National Institutes of Health Stroke Scale [NIHSS]). The study further aimed to describe the demographic and clinical characteristics of stroke patients in the middle region of Saudi Arabia.

METHODOLOGY

We performed a retrospective review of all medical records of the stroke patients who were treated at a major hospital in Qassim province between 2016 and 2018. Reviewed data (n = 400) included demographics, Hb level on admission, type of stroke (ischemic vs. hemorrhagic), stroke risk factors, and NIHSS scores. Analysis of variance (ANOVA) test was used to assess the univariate association between NIHSS and Hb level. Regression statistics were utilized to examine the effect of abnormal Hb level on NIHSS scores while controlling for the other study variables. Data were analyzed using Statistical Package for the Social Sciences.

RESULTS

Sixty-nine percent of the patients were men. More young women than men (≤39 years) had a stroke. Ischemic stroke is considerably more common than hemorrhagic stroke (a ratio of 12.7:1). ANOVA test showed that the mean score of NIHSS was significantly lower among patients with a normal Hb level. Regression showed that NIHSS scores were significantly associated with abnormal Hb level, in terms of low and high level.

CONCLUSIONS

This study demonstrated further evidence of the association between abnormal Hb level NIHSS. Thus, our results emphasize the predictive importance of Hb level on identifying individuals who might be at higher risk of worse neurological outcomes after stroke. Physicians need to be cognizant of the negative effect of abnormal Hb level on the outcomes of stroke patients.

Predictors of prolonged hospital stay in a Comprehensive Stroke Unit

OBJECTIVE

to analyze the in-hospital complications of prolonged hospital stay in patients with ischemic stroke or transient ischemic attack, admitted to the stroke unit of a tertiary hospital.

METHOD

this is an evaluative correlational study. All first-ever ischemic stroke or transient ischemic attack patients admitted were retrospectively analyzed. During hospital stay, the predictors of long-term hospitalization considered were: 1) clinical complications (pneumonia, urinary tract infection, pressure damage and deep vein thrombosis), and 2) neurological complications (malignant ischemic stroke and symptomatic hemorrhagic transformation).

RESULTS

353 patients were discharged in the study period. Mean age was 64.1±13.7 years old and 186 (52.6%) were men. The mean time of hospital stay was 13.7±14.3 days. Pneumonia (25.3±28.8 days, p<0.001), urinary tract infection (32.9±45.2 days, p<0.001) and malignant stroke (29.1±21.4 days, p<0.001) increased significantly the length of hospital stay compared to patients without any complications (11.2±7.1 days).

CONCLUSION

this study showed that three complications delayed hospital discharge in patients admitted in a stroke unit, two preventable ones: pneumonia and urinary tract infection. More intense measures to avoid them should be included in the performance indicators to reduce the length of hospital stay in stroke units.

Effect of Comorbidity Assessed by the Charlson Comorbidity Index on the Length of Stay, Costs and Mortality among Older Adults Hospitalised for Acute Stroke

The burden of comorbidity among stroke patients is high. The aim of this study was to examine the effect of comorbidity on the length of stay (LOS), costs, and mortality among older adults hospitalised for acute stroke. Among 776 older adults (mean age 80.1 ± 8.3 years; 46.7% female) hospitalised for acute stroke during July 2013 to December 2015 at a tertiary hospital in Melbourne, Australia, we collected data on LOS, costs, and discharge outcomes. Comorbidity was assessed via the Charlson Comorbidity Index (CCI), where a CCI score of 0⁻1 was considered low and a CCI ≥ 2 was high. Negative binomial regression and quantile regression were applied to examine the association between CCI and LOS and cost, respectively. Survival was evaluated with the Kaplan⁻Meier and Cox regression analyses. The median LOS was 1.1 days longer for patients with high CCI than for those with low CCI. In-hospital mortality rate was 18.2% (22.1% for high CCI versus 11.8% for low CCI, p < 0.0001). After controlling for confounders, high CCI was associated with longer LOS (incidence rate ratio [IRR]; 1.35, p < 0.0001) and increased likelihood of in-hospital death (hazard ratio [HR]; 1.91, p = 0.003). The adjusted median, 25th, and 75th percentile costs were AUD$2483 (26.1%), AUD$1446 (28.1%), and AUD$3140 (27.9%) higher for patients with high CCI than for those with low CCI. Among older adults hospitalised for acute stroke, higher global comorbidity (CCI ≥ 2) was associated adverse clinical outcomes. Measures to better manage comorbidities should be considered as part of wider strategies towards mitigating the social and economic impacts of stroke.