Association between marriage and outcomes in patients with acute ischemic stroke

Long-term risk factors of recurrent stroke, myocardial infarction and death in patients leaving hospital with a diagnosis of ischemic stroke or TIA

Objectives. The prevalence of patients with prior stroke is increasing globally. Accordingly, there is a need for up-to-date evidence of patient-related prognostic factors for stroke recurrence, post stroke myocardial infarction (MI) and death based on long-term follow-up of stroke survivors. For this purpose, the RIALTO study was established in 2004. Design. A prospective cohort study in which patients diagnosed with ischemic stroke (IS) or transient ischemic attack (TIA) in three Copenhagen hospitals were included. Data were collected from medical records and by structured interview. Data on first stroke recurrence, first MI and all-cause death were extracted from the Danish National Patient Registry and the Danish Civil Registration System. Results. We included 1215 patients discharged after IS or TIA who were followed up by register data from April 2004 to end of 2018 giving a median follow-up of 3.5-6.9 years depending on the outcome. At the end of follow-up 406 (33%) patients had been admitted with a recurrent stroke, 100 (8%) had a MI and 822 (68%) had died. Long-term prognostic predictors included body mass index, diabetes, antihypertensive and lipid lowering treatment, smoking, a sedentary lifestyle as well as poor self-rated health and psychosocial problems. Conclusions. Long-term risk of recurrent stroke and MI remain high in patients discharged with IS or TIA despite substantial improvements in tertiary preventive care in recent decades. Continued attention to the patient risk profile among patients surviving the early phase of stroke, including comorbidities, lifestyle, and psychosocial challenges, is warranted.

Correlation between marital status and the prognosis of older patients with cerebrovascular disease in intensive care units: A retrospective cohort study

Background and Aims

Marital status has been shown to be associated with mortality, but evidence in critically ill elder intensive care unit (ICU) patients with cerebrovascular diseases (CeVD) is limited. This study was to explore the correlation between marital status and the prognosis of patients with CeVD aged 65 years and over in the ICU.

Methods

In the present study, 3564 patients were enrolled in the Medical Information Mart for Intensive Care IV database (version 2.2). Patients were divided into four groups based on marital status: married, single, divorced, and widowed. The primary outcome was all-cause mortality as patients were followed up for 3-, 6-, 9-, and 12-month. All-cause mortality risk for patients with different marital status was compared. Univariate and multivariable logistic regression analyses, survival curves and stratified analyses were performed to determine the correlation between marital status and mortality in critically ill patients with CeVD aged ≥65 years.

Results

Of the patients, 51.2% (1825/3564) were married, followed by 23.8% (847/3564) were widowed, 18.2% (647/3564) were single, and 6.9% (245/3567) were divorced. Compared with the married, the unmarried had a higher proportion of female (p < 0.001), older (p < 0.001), and less proportion of mechanical ventilation (p = 0.045). Multivariate analyses showed that no differences were observed for mortality risk among different marital statuses (p > 0.05), while at late follow-up, widowed had a significance higher mortality risk than the married (9-month: odds ratio [OR]: 1.30, 95% confidence interval [CI]: 1.05-1.61, p = 0.02; 12-month: OR: 1.38, 95% CI: 1.12-1.71, p = 0.003). Stratified analyses indicated a stable correlation between marital status and 12-month mortality rate in sub-analysis for gender (p = 0.46) and age (p = 0.35).

Conclusion

Marital status is associated with long-term prognosis in older patients with CeVD admitted to ICU. Widowed people should receive more societal attention irrespective of sex or age.

Characterization of Demographic, Clinical, and Laboratory Risk Factors for Stroke in a Tertiary Hospital in Riyadh, Saudi Arabia

Background Stroke is a major cause of death and long-term disability worldwide, with varying incidence and risk factors across different populations. This study aims to analyze demographic, clinical, and laboratory risk factors for stroke among the Saudi Arabian population to enhance the understanding of its behavior and associated mortality. Methods In this retrospective cohort study, we analyzed data from 3586 patients diagnosed with hemorrhagic or non-hemorrhagic stroke at King Fahad Medical City from January 1, 2020, to November 11, 2022. We collected data on demographic variables, past medical history, social history, nationality, and laboratory components. Statistical analyses were performed using IBM SPSS Statistics for Windows, Version 27.0. (Armonk, NY: IBM Corp.), with significance set at p<0.05. Results The study population was predominantly male (57.86%) and within the age group of 51 to 80 years (58.8%). A significant portion of patients were Saudi nationals (99.6%), with hypertension (50.2%) and diabetes (40.4%) being the most common comorbidities. Laboratory abnormalities related to sodium and potassium levels were strongly linked to mortality rates. Notably, ischemic stroke was the most common type across all age groups, except for patients under age 16, where hemorrhagic stroke was more prevalent. Conclusions Our findings reveal significant associations between stroke risk factors and mortality within the Saudi Arabian population, highlighting the impact of hypertension, diabetes, and electrolyte imbalances. The study underscores the need for targeted stroke prevention and management strategies in Saudi Arabia, aligning with global trends to mitigate the burden of this disease.

Quality of Life in Patients with Excellent 3-Month Clinical Outcome after First-Ever Ischemic Stroke: A Time to Redefine Excellent Outcome?

INTRODUCTION

Ischemic stroke (IS) may have impact on long-term health-related quality of life (HRQoL) even in the patients with good clinical outcome, and tools mostly used for the assessment of outcome may underestimate or not reflect all relevant sequels after IS. We aimed to analyze HRQoL in the patients with excellent outcome after IS.

METHODS

We analyzed consecutive IS patients enrolled in the prospective FRAILTY study (ClinicalTrials.gov: NCT04839887) with excellent 3-month clinical outcome (score 0-1 in modified Rankin Scale [mRS]). Stroke Impact Scale (SIS) version 3.0 and Hospital Anxiety and Depression Scale (HADS) were used for the HRQoL, anxiety, and depression assessments, and subgroup comparisons were performed according to NIHSS score (0, ≥1), age (50<, ≥50 years), and sex.

RESULTS

In total, 158 patients (55.7% men, mean age 60.3 ± 13.4 years) were analyzed, and 72.2% of them had score 0 in mRS. The overall lowest median scores were found in the SIS domain "emotion," "strength," and "participation." Patients with NIHSS ≥1 had lower scores in all SIS domains except "emotions" and "mobility." Patients ≥50 years had lower score in "mobility" (p = 0.004) and females in domain of "social participation" (p = 0.044). No differences were found among all subgroups in HADS anxiety and depression. Age, NIHSS score, and depression were found negative predictors for the physical domains of HRQoL.

DISCUSSION/CONCLUSIONS

Despite excellent 3-month clinical outcome after IS, patients had affected substantially their HRQoL, especially those with NIHSS ≥1. Patients ≥50 years had more affected "mobility" and females "social participation."

A wide landscape of morbidity and mortality risk associated with marital status in 0.5 million Chinese men and women: a prospective cohort study

Background

A comprehensive depiction of long-term health impacts of marital status is lacking.

Methods

Sex-stratified phenome-wide association analyses (PheWAS) of marital status (living with vs. without a spouse) were performed using baseline (2004-2008) and follow-up information (ICD10-coded events till Dec 31, 2017) from the China Kadoorie Biobank (CKB). We estimated adjusted hazard ratios (aHRs) to evaluate the associations of marital status with morbidity risks of phenome-wide significant diseases or sex-specific top-10 death causes in China documented in 2017. Additionally, the association between marital status and mortality risks among participants with major chronic diseases at baseline was assessed.

Findings

During up to 11.1 years of the median follow-up period, 1,946,380 incident health events were recorded among 210,202 men and 302,521 women aged 30-79. Marital status was found to have phenome-wide significant associations with thirteen diseases among men (p < 9.92 × 10-5) and nine diseases among women (p < 9.33 × 10-5), respectively. After adjusting for all disease-specific covariates in the final model, participants living without a spouse showed increased risks of schizophrenia, schizotypal and delusional disorders (aHR [95% CI]: 2.55, [1.83-3.56] for men; 1.49, [1.13-1.97] for women) compared with their counterparts. Additional higher risks in overall mental and behavioural disorder (1.31, 1.13-1.53), cardiovascular disease (1.07, 1.04-1.10) and cancer (1.06, 1.00-1.12) were only observed among men without a spouse, whereas women living without a spouse were at lower risks of developing genitourinary diseases (0.89, 0.85-0.93) and injury & poisoning (0.93, 0.88-0.97). Among 282,810 participants with major chronic diseases at baseline, 39,166 deaths were recorded. Increased mortality risks for those without a spouse were observed in 12 of 21 diseases among male patients and one of 23 among female patients. For patients with any self-reported disease at baseline, compared with those living with a spouse, the aHRs (95% CIs) of mortality risk were 1.29 (1.24-1.34) and 1.04 (1.00-1.07) among men and women without a spouse (pinteraction<0.0001), respectively.

Interpretation

Long-term associations of marital status with morbidity and mortality risks are diverse among middle-aged Chinese adults, and the adverse impacts due to living without a spouse are more profound among men. Marital status may be an influential factor for health needs.

Funding

The National Natural Science Foundation of China, the Kadoorie Charitable Foundation, the National Key R&D Program of China, the Chinese Ministry of Science and Technology, and the UK Wellcome Trust.

Marital status and cause-specific mortality: A population-based prospective cohort study in southern Sweden

The aim was to investigate associations between marital status and mortality with a prospective cohort study design. A public health survey including adults aged 18-80 was conducted with a postal questionnaire in southern Sweden in 2008 (54.1% participation). The survey formed a baseline that was linked to 8.3-year follow-up all-cause, cardiovascular (CVD), cancer and other cause mortality. The present investigation entails 14,750 participants aged 45-80. Associations between marital status and mortality were investigated with multiple Cox-regression analyses. A 72.8% prevalence of respondents were married/cohabitating, 9.1% never married, 12.2% divorced and 5.9% widows/widowers. Marital status was associated with age, sex, socioeconomic status (SES) by occupation, country of birth, chronic disease, Body Mass Index (BMI), health-related behaviors and generalized trust covariates. Never married/single, divorced, and widowed men had significantly higher hazard rate ratios (HRRs) of all-cause mortality than the reference category married/cohabitating men throughout the multiple analyses. For men, CVD and other cause mortality showed similar significant results, but not cancer. No significant associations were displayed for women in the multiple analyses. Associations between marital status and mortality are stronger among men than women. Associations between marital status and cancer mortality are not statistically significant with low effect measures throughout the multiple analyses among both men and women.

Development, validation, and visualization of a novel nomogram to predict stroke risk in patients

Background

Stroke is the second leading cause of death worldwide and a major cause of long-term neurological disability, imposing an enormous financial burden on families and society. This study aimed to identify the predictors in stroke patients and construct a nomogram prediction model based on these predictors.

Methods

This retrospective study included 11,435 participants aged >20 years who were selected from the NHANES 2011-2018. Randomly selected subjects (n = 8531; 75%) and the remaining subjects comprised the development and validation groups, respectively. The least absolute shrinkage and selection operator (LASSO) binomial and logistic regression models were used to select the optimal predictive variables. The stroke probability was calculated using a predictor-based nomogram. Nomogram performance was assessed by the area under the receiver operating characteristic curve (AUC) and the calibration curve with 1000 bootstrap resample validations. Decision curve analysis (DCA) was performed to evaluate the clinical utility of the nomogram.

Results

According to the minimum criteria of non-zero coefficients of Lasso and logistic regression screening, older age, lower education level, lower family income, hypertension, depression status, diabetes, heavy smoking, heavy drinking, trouble sleeping, congestive heart failure (CHF), coronary heart disease (CHD), angina pectoris and myocardial infarction were independently associated with a higher stroke risk. A nomogram model for stroke patient risk was established based on these predictors. The AUC (C statistic) of the nomogram was 0.843 (95% CI: 0.8186-0.8430) in the development group and 0.826 (95% CI: 0.7811, 0.8716) in the validation group. The calibration curves after 1000 bootstraps displayed a good fit between the actual and predicted probabilities in both the development and validation groups. DCA showed that the model in the development and validation groups had a net benefit when the risk thresholds were 0-0.2 and 0-0.25, respectively.

Discussion

This study effectively established a nomogram including demographic characteristics, vascular risk factors, emotional factors and lifestyle behaviors to predict stroke risk. This nomogram is helpful for screening high-risk stroke individuals and could assist physicians in making better treatment decisions to reduce stroke occurrence.

Trends in Unhealthy Lifestyle Factors among Adults with Stroke in the United States between 1999 and 2018

BACKGROUND: Unhealthy lifestyle factors are risk factors for stroke, and they play a key role in stroke secondary prevention. A better understanding of these factors may aid with improvements in public health policy. OBJECTIVE: Our objective was to comprehensively understand the trends in unhealthy lifestyle factors in people who have previously had a stroke in the US. METHODS: Utilizing data from the biannual United States National Health and Nutrition Examination Surveys (NHANESs) between 1999 and 2018, we collated data on unhealthy lifestyle factors (smoking, alcohol drinking, depression, unhealthy diet, high BMI, physical inactivity, and sedentary behavior) in adults with a history of stroke. The Joinpoint Regression model was used to calculate the annual percentage change (APC) and average annual percentage change (AAPC) to identify trends. Logistic regression modeling was used to identify the influence of sociodemographic factors (age, sex, race/ethnicity, marital status, employment status, family income, and highest education level). RESULTS: The analysis included 2017 respondents with a history of stroke. Current alcohol drinking (39.3% (95% confidence interval: 29.8, 48.7) to 57.4% (45.7, 69.0) p = 0.008) and obesity (39.2% (28.3, 50.2) to 49.4% (38.9, 59.8) p = 0.029) increased significantly from 1999 to 2018. The prevalence of smoking and depression remained generally stable. The proportion of respondents with an unhealthy diet decreased from 1999 (44.5% (32.4, 56.5)) to 2011 (29.0% (17.5, 40.4) p = 0.019), but then returned to its original prevalence in 2018 (42.0% (31.4, 52.7)). From 2007 to 2018, the proportion of respondents who were physically inactive decreased significantly, from 70.4% (64.4, 76.3) to 55.1% (46.1, 64.2; p = 0.017). After a gradual increase in sedentary activity from 2007 to 2012, this declined from 2013 to 2018, with no statistical significance. We found stroke survivors who were widowed, divorced, separated, or unemployed were at a higher risk of having unhealthy lifestyles than those who were employed or had other marital statuses. CONCLUSIONS: A modest reduction in the prevalence of physical inactivity was observed in Americans with a history of stroke between 1999 and 2018. The prevalences of smoking, drinking, depression, poor diet, obesity, and sedentary behavior were stable or increasing.

Analyzing and predicting the risk of death in stroke patients using machine learning

Background

Stroke is an acute disorder and dysfunction of the focal neurological system that has long been recognized as one of the leading causes of death and severe disability in most regions globally. This study aimed to supplement and exploit multiple comorbidities, laboratory tests and demographic factors to more accurately predict death related to stroke, and furthermore, to make inferences about the heterogeneity of treatment in stroke patients to guide better treatment planning.

Methods

We extracted data from the Medical Information Mart from the Intensive Care (MIMIC)-IV database. We compared the distribution of the demographic factors between the control and death groups. Subsequently, we also developed machine learning (ML) models to predict mortality among stroke patients. Furthermore, we used meta-learner to recognize the heterogeneity effects of warfarin and human albumin. We comprehensively evaluated and interpreted these models using Shapley Additive Explanation (SHAP) analysis.

Results

We included 7,483 patients with MIMIC-IV in this study. Of these, 1,414 (18.9%) patients died during hospitalization or 30 days after discharge. We found that the distributions of age, marital status, insurance type, and BMI differed between the two groups. Our machine learning model achieved the highest level of accuracy to date in predicting mortality in stroke patients. We also observed that patients who were consistent with the model determination had significantly better survival outcomes than the inconsistent population and were better than the overall treatment group.

Conclusion

We used several highly interpretive machine learning models to predict stroke prognosis with the highest accuracy to date and to identify heterogeneous treatment effects of warfarin and human albumin in stroke patients. Our interpretation of the model yielded a number of findings that are consistent with clinical knowledge and warrant further study and verification.

Does the suddenness matter? Antidepressant use before and after a spouse dies suddenly or expectedly of stroke

Aims: Changes in mental health at the time of widowhood may depend on the expectedness of spousal death, but scant evidence is available for spousal deaths attributable to stroke. Methods: Using register-linkage data for Finland, we assessed changes in antidepressant use before and after spousal death for those whose spouses died suddenly of stroke between 1998 and 2003 (N=1820) and for those whose spouses died expectedly of stroke, with prior hospitalisation for cerebrovascular disease (N=1636). We used both population-averaged logit models and individual fixed-effects linear probability models. The latter models control for unobserved time-invariant heterogeneity between the individuals. Results: Our study indicates that the suddenness of a spouse's death from stroke plays a role in the well-being of the surviving spouse. Increases in antidepressant use appeared larger following widowhood for those whose spouses died suddenly of stroke relative to those whose spouses had a medical history of cerebrovascular disease. Conclusions: The suddenness of a spouse's death from stroke plays a role for the surviving spouse. The results suggest multifaceted timings of distress surrounding spousal death, depending on the suddenness of a spouse's death from stroke.

Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram

Background

This study aimed to establish and validate an easy-to-use nomogram for predicting long-term mortality among ischemic stroke patients.

Methods

All raw data were obtained from the Medical Information Mart for Intensive Care IV database. Clinical features associated with long-term mortality (1-year mortality) among ischemic stroke patients were identified using least absolute shrinkage and selection operator regression. Then, binary logistic regression was used to construct a nomogram, the discrimination of which was evaluated by the concordance index (C-index), integrated discrimination improvement (IDI), and net reclassification index (NRI). Finally, a calibration curve and decision curve analysis (DCA) were employed to study calibration and net clinical benefit, compared to the Glasgow Coma Scale (GCS) and the commonly used disease severity scoring system.

Results

Patients who were identified with ischemic stroke were randomly assigned into developing (n = 1,443) and verification (n = 646) cohorts. The following factors were associated with 1-year mortality among ischemic stroke patients, including age on ICU admission, marital status, underlying dementia, underlying malignant cancer, underlying metastatic solid tumor, heart rate, respiratory rate, oxygen saturation, white blood cells, anion gap, mannitol injection, invasive mechanical ventilation, and GCS. The construction of the nomogram was based on the abovementioned features. The C-index of the nomogram in the developing and verification cohorts was 0.820 and 0.816, respectively. Compared with GCS and the commonly used disease severity scoring system, the IDI and NRI of the constructed nomogram had a statistically positive improvement in predicting long-term mortality in both developing and verification cohorts (all with p < 0.001). The actual mortality was consistent with the predicted mortality in the developing (p = 0.862) and verification (p = 0.568) cohorts. Our nomogram exhibited greater net clinical benefit than GCS and the commonly used disease severity scoring system.

Conclusion

This proposed nomogram has good performance in predicting long-term mortality among ischemic stroke patients.

Impact of Marital Status on Management and Outcomes of Patients With Acute Myocardial Infarction: Insights From the China Acute Myocardial Infarction Registry

Background Acute myocardial infarction (AMI) is one of the leading causes of mortality worldwide, whereas social support is a known predictor of the prognosis after AMI. As a common factor influencing social support, the impact of marital status on care quality, in-hospital mortality, and long-term prognosis of patients with AMI remains largely unknown. Methods and Results The present study analyzed data from the CAMI (China Acute Myocardial Infarction) registry involving 19 912 patients with AMI admitted at 108 hospitals in China between January 2013 and September 2014 and aimed to evaluate marital status-based differences in acute management, medical therapies, and short-term and long-term outcomes. The primary end point was 2-year all-cause death. The secondary end points included in-hospital death and 2-year major adverse cardiac and cerebrovascular events (a composite of all-cause death, myocardial infarction, or stroke). After multivariable adjustment, 1210 (6.1%) unmarried patients received less reperfusion treatment in patients with both ST-segment-elevation myocardial infarction and non-ST-segment-elevation myocardial infarction (adjusted odds ratio [OR], 0.520 [95% CI, 0.437-0.618]; P<0.0001; adjusted OR, 0.489 [95% CI, 0.364-0.656]; P<0.0001). Being unmarried was not associated with poorer in-hospital outcome but with long-term all-cause mortality and major adverse cardiac and cerebrovascular events in both ST-segment-elevation myocardial infarction (adjusted hazard ratio [HR], 1.225 [95% CI, 1.031-1.456]; P=0.0209; adjusted HR, 1.277 [95% CI, 1.089-1.498]; P=0.0027) and non-ST-segment-elevation myocardial infarction (adjusted HR, 1.302 [95% CI, 1.036-1.638]; P=0.0239; adjusted HR, 1.368 [95% CI, 1.105-1.694]; P=0.0040) populations. Conclusions The present study suggests that being unmarried is independently related to less reperfusion received, but could not explain the higher in-hospital mortality rate after covariate adjustment. Being unmarried is associated with a substantially increased risk of adverse events over at least the first 24 months after AMI. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01874691.

The association of marital/partner status with patient-reported health outcomes following acute myocardial infarction or stroke: Protocol for a systematic review and meta-analysis

Introduction

Marital/Partner support is associated with lower mortality and morbidity following acute myocardial infarction (AMI) and stroke. Despite an increasing focus on the effect of patient-centered factors on health outcomes, little is known about the impact of marital/partner status on patient-reported outcome measures (PROMs).

Objective

To synthesize evidence of the association between marital/partner status and PROMs after AMI and stroke and to determine whether associations differ by sex.

Methods and analysis

We will search MEDLINE (via Ovid), Web of Science Core Collection (as licensed by Yale University), Scopus, EMBASE (via Ovid), and PsycINFO (via Ovid) from inception to July 15, 2022. Two authors will independently screen titles, abstracts, and then full texts as appropriate, extract data, and assess risk of bias. Conflicts will be resolved by discussion with a third reviewer. The primary outcomes will be the associations between marital/partner status and PROMs. An outcome framework was designed to classify PROMs into four domains (health-related quality of life, functional status, symptoms, and personal recovery). Meta-analysis will be conducted if appropriate. Subgroup analysis by sex and meta-regression with a covariate for the proportion of male participants will be performed to explore differences by sex.

Ethics and dissemination

This research is exempt from ethics approval because the study will be conducted using published data. We will disseminate the results of the analysis in a related peer-reviewed journal.

Trial registration

PROSPERO registration number:CRD42022295975.

Repeated Measures of Modified Rankin Scale Scores to Assess Functional Recovery From Stroke: AFFINITY Study Findings

Background

Function after acute stroke using the modified Rankin Scale (mRS) is usually assessed at a point in time. The analytical implications of serial mRS measurements to evaluate functional recovery over time is not completely understood. We compare repeated‐measures and single‐measure analyses of the mRS from a randomized clinical trial.

Methods and Results

Serial mRS data from AFFINITY (Assessment of Fluoxetine in Stroke Recovery), a double‐blind placebo randomized clinical trial of fluoxetine following stroke (n=1280) were analyzed to identify demographic and clinical associations with functional recovery (reduction in mRS) over 12 months. Associations were identified using single‐measure (day 365) and repeated‐measures (days 28, 90, 180, and 365) partial proportional odds logistic regression. Ninety‐five percent of participants experienced a reduction in mRS after 12 months. Functional recovery was associated with age at stroke <70 years; no prestroke history of diabetes, coronary heart disease, or ischemic stroke; prestroke history of depression, a relationship partner, living with others, independence, or paid employment; no fluoxetine intervention; ischemic stroke (compared with hemorrhagic); stroke treatment in Vietnam (compared with Australia or New Zealand); longer time since current stroke; and lower baseline National Institutes of Health Stroke Scale & Patient Health Questionnaire‐9 scores. Direction of associations was largely concordant between single‐measure and repeated‐measures models. Association strength and variance was generally smaller in the repeated‐measures model compared with the single‐measure model.

Conclusions

Repeated‐measures may improve trial precision in identifying trial associations and effects. Further repeated‐measures stroke analyses are required to prove methodological value.

Registration

URL: http://www.anzctr.org.au; Unique identifier: ACTRN12611000774921.

Does urinary metabolite signature act as a biomarker of post-stroke depression?

BACKGROUND

It is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography-mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could significantly discriminate PSD from stroke survivors.

METHODS

A systematic review was performed for the keywords of "urinary metabolite" and "PSD" using Medline, Cochrane Library, Embase, Web of Science, PsycINFO, Wanfang, CNKI, CBM, and VIP database from inception to 31 March 2022.

RESULTS

Four related studies were included in the review. Differential urinary metabolites including lactic acid, palmitic acid, azelaic acid, and tyrosine were identified in all the included studies. As a significant deviation in the metabolite biomarker panel, glyceric acid, azelaic acid, phenylalanine, palmitic acid, pseudouridine, and tyrosine were found in at least 2 included studies, which indicated good potential for the differentiation of PSD.

CONCLUSION

The systematic review provided evidence that differential urinary metabolites analyzed by the GC-MS-based approach might be used as a biomarker for the diagnosis and prognosis of PSD.

Burden of informal care in stroke survivors and its determinants: a prospective observational study in an Asian setting

BACKGROUND

Informal caregiving is an integral part of post-stroke recovery with strenuous caregiving demands often resulting in caregiving burden, threatening sustainability of caregiving and potentially impacting stroke survivor's outcomes. Our study aimed to examine and quantify objective and subjective informal care burden after stroke; and to explore the factors associated with informal care burden in Singapore.

METHODS

Stroke patients and their informal caregivers were recruited from all five tertiary hospitals in Singapore from December 2010 to September 2013. Informal care comprised of assistance provided by informal caregivers with any of the activities of daily living. Informal care burden was measured by patients' likelihood of requiring informal care, hours of informal care required, and informal caregivers' Zarit's Burden Score. We examined informal care burden at 3-months and 12-months post-stroke. Generalized linear regressions were applied with control variables including patients' and informal caregivers' demographic characteristics, arrangement of informal care, and patients' health status including stroke severity (measured using National Institute of Health Stroke Scale), functional status (measured using Modified Rankin Scale), self-reported depression, and common comorbidities.

RESULTS

Three hundred and five patients and 263 patients were examined at 3-months and 12-months. Around 35% were female and 60% were Chinese. Sixty three percent and 49% of the patients required informal care at 3-months and 12-months point, respectively. Among those who required informal care, average hours required per week were 64.3 h at 3-months and 76.6 h at 12-months point. Patients with higher functional dependency were more likely to require informal care at both time points, and required more hours of informal care at 3-months point. Female informal caregivers and those caring for patients with higher functional dependency reported higher Zarit's Burden. While informal caregivers who worked full-time reported higher burden, those caring for married stroke patients reported lower burden at 3-months point. Informal caregivers who co-cared with foreign domestic workers, i.e.: stay-in migrant female waged domestic workers, reported lower burden.

CONCLUSIONS

Informal care burden remains high up to 12-months post-stroke. Factors such as functional dependency, stroke severity, informal caregiver gender and co-caring with foreign domestic workers were associated with informal care burden.

Cystatin C predicts futile recanalization in patients with acute ischemic stroke after endovascular treatment

BACKGROUND

A previous study reported that cystatin C was related to acute ischemic stroke. The association between cystatin C and the clinical outcome in acute ischaemic stroke patients with successful recanalization after endovascular thrombectomy has rarely been reported. This study aimed to evaluate the association between cystatin C and futile recanalization in AIS patients who underwent endovascular thrombectomy.

METHODS

We carried out a retrospective study of acute ischaemic stroke patients with anterior circulation proximal arterial occlusion who achieved complete arterial recanalization after mechanical thrombectomy from May 2017 to April 2020. The patients with complete recanalization were divided into a useful recanalization group and a futile recanalization group according to their 3-month modified Rankin scale score. FR was defined as a modified mRS score of 3-6 at 3 months. Logistic regression analysis was used to identify the risk factors for FR. Receiver operating characteristic curves were used to assess the predictive value of cystatin C for FR.

RESULTS

Of 241 patients, 125 underwent futile recanalization and 116 underwent useful recanalization. Baseline serum cystatin C levels were higher in the futile recanalization group than in the useful recanalization group. After adjustment for potential confounding factors, multivariable adjusted regression models showed that cystatin C was an independent predictor of futile recanalization (odds ratio, 4.111 [95% CI 1.427-11.840], P = 0.009). Receiver operator characteristic (ROC) curve analysis indicated that the model combining cystatin C with other factors model effectively predicted unfavourable outcomes at 3 months (area under the curve = 0.782, p < 0.01).

CONCLUSIONS

A higher level of cystatin C is associated with unfavourable outcomes at 3 months in anterior circulation acute ischaemic stroke patients with endovascular thrombectomy.

The advances of post-stroke depression: 2021 update

Post-stroke depression (PSD) is one of common and serious sequelae of stroke. Approximately, one in three stroke survivors suffered from depression after stroke. It heavily affected functional rehabilitation, which leaded to poor quality of life. What is worse, it is strongly associated with high mortality. In this review, we aimed to derive a comprehensive and integrated understanding of PSD according to recently published papers and previous classic articles. Based on the considerable number of studies, we found that within 2 years incidence of PSD has a range from 11 to 41%. Many factors contribute to the occurrence of PSD, including the history of depression, stroke severity, lesion location, and so on. Currently, the diagnosis of PSD is mainly based on the DSM guidelines and combined with various depression scales. Unfortunately, we lack a unified mechanism to explain PSD which mechanisms now involve dysregulation of hypothalamic-pituitary-adrenal (HPA) axis, increased inflammatory factors, decreased levels of monoamines, glutamate-mediated excitotoxicity, and abnormal neurotrophic response. At present, both pharmacotherapy and psychological therapies are employed in treating PSD. Although great advance has been made by researchers, there are still a lot of issues need to be addressed. Especially, the mechanism of PSD is not completely clear.

Marital Stability and Quality of Couple Relationships after Acquired Brain Injury: A Two-Year Follow-Up Clinical Study

Couple relationships after acquired brain injury (ABI) could be vulnerable to emotional distress. Previous evidence has demonstrated significant marital dissatisfaction in the first period after a traumatic event, while long-term evaluations are lacking. In this study, we evaluated the impact of a series of demographic and clinical factors on marital stability after two years from the injury. Thirty-five patients (29% female) with mild/moderate ABI (57% vascular, 43% traumatic) and their partners were enrolled. The couples completed a series of psychological questionnaires assessing marital adjustment (Dyadic Adjustment Scale, DAS) and family functioning (Family Relationship Index, FRI) at discharge from the intensive rehabilitation unit and after 2 years. Demographics (i.e., educational level, job employment and religion commitment) and clinical variables (i.e., the Barthel index, aetiology and brain lesion localization) were considered as predictive factors. Regression analyses revealed that the DAS and FRI values are differently influenced by demographic and clinical factors in patients and caregivers. Indeed, the highest educational level corresponds to better DAS and FRI values for patients. In the spouses, the variability of the DAS values was explained by aetiology (the spouses of traumatic ABI patients had worse DAS values), whereas the variability in the FRI values was explained by religious commitment (spending much time on religious activities was associated with better FRI values). Our data suggest that some clinical and demographic variables might be important for protecting against marital dissatisfaction after an ABI.

Predictors of 30-day and 90-day mortality among hemorrhagic and ischemic stroke patients in urban Uganda: a prospective hospital-based cohort study

Background

We report here on a prospective hospital-based cohort study that investigates predictors of 30-day and 90-day mortality and functional disability among Ugandan stroke patients.

Methods

Between December 2016 and March 2019, we enrolled consecutive hemorrhagic stroke and ischemic stroke patients at St Francis Hospital Nsambya, Kampala, Uganda. The primary outcome measure was mortality at 30 and 90 days. The modified Ranking Scale wasused to assess the level of disability and mortality after stroke. Stroke severity at admission was assessed using the National Institute of Health Stroke Scale (NIHSS) and Glasgow Coma Scale (GCS). Examination included clinical neurological evaluation, laboratory tests and brain computed tomography (CT) scan. Kaplan-Meier curves and multivariate Cox proportional hazard model were used for unadjusted and adjusted analysis to predict mortality.

Results

We enrolled 141 patients; 48 (34%) were male, mean age was 63.2 (+ 15.4) years old; 90 (64%) had ischemic and 51 (36%) had hemorrhagic stroke; 81 (57%) were elderly (≥ 60 years) patients. Overall mortality was 44 (31%); 31 (23%) patients died within the first 30 days post-stroke and, an additional 13 (14%) died within 90 days post-stroke. Mortality for hemorrhagic stroke was 19 (37.3%) and 25 (27.8%) for ischemic stroke. After adjusting for age and sex, a GCS score below < 9 (adjusted hazard ratio [aHR] =3.49, 95% CI: 1.39–8.75) was a significant predictor of 30-day mortality. GCS score < 9 (aHR =4.34 (95% CI: 1.85–10.2), stroke severity (NIHSS ≥21) (aHR = 2.63, 95% CI: (1.68–10.5) and haemorrhagic stroke type (aHR = 2.30, 95% CI: 1.13–4.66) were significant predictors of 90-day mortality. Shorter hospital stay of 7–13 days (aHR = 0.31, 95% CI: 0.11–0.93) and being married (aHR = 0.22 (95% CI: 0.06–0.84) had protective effects for 30 and 90-day mortality respectively.

Conclusion

Mortality is high in the acute and sub-acute phase of stroke. Low levels of consciousness at admission, stroke severity, and hemorrhagic stroke were associated with increased higher mortality in this cohort of Ugandan stroke patients. Being married provided a protective effect for 90-day mortality. Given the high mortality during the acute phase, critically ill stroke patients would benefit from early interventions established as the post-stroke- standard of care in the country.

Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke

OBJECT

Ischemic stroke readmission within 90 days of hospital discharge is an important quality of care metric. The readmission rates of ischemic stroke patients are usually higher than those of patients with other chronic diseases. Our aim was to identify the ischemic stroke readmission risk factors and establish a 90-day readmission prediction model for first-time ischemic stroke patients.

METHODS

The readmission prediction model was developed using the extreme gradient boosting (XGboost) model, which can generate an ensemble of classification trees and assign a predictive risk score to each feature. The patient data were split into a training set (5159) and a validation set (911). The prediction results were evaluated with the receiver operating characteristic (ROC) curve and time-dependent ROC curve, which were compared with the outputs from the logistic regression (LR) model.

RESULTS

A total of 6070 adult patients (39.6% female, median age 67 years) without any ischemic attack (IS) history were included, and 520 (8.6%) were readmitted within 90 days. The XGboost-based prediction model achieved a standard area under the curve (AUC) value of .782 (.729-.834), and the best time-dependent AUC value was .808 in 54 days for the validation set. In contrast, the LR model yielded a standard AUC value of .771 (.714-.828) and best time-dependent AUC value of .797.

CONCLUSIONS

The XGboost model obtained a better risk prediction for 90-day readmission for first-time ischemic stroke patients than the LR model. This model can also reveal the high risk factors for stroke readmission in first-time ischemic stroke patients.

Hospital Variation in 30-Day Mortality for Patients With Stroke; The Impact of Individual and Municipal Socio-Demographic Status

Background

Thirty‐day mortality after hospitalization for stroke is commonly reported as a quality indicator. However, the impact of adjustment for individual and/or neighborhood sociodemographic status (SDS) has not been well documented. This study aims to evaluate the role of individual and contextual sociodemographic determinants in explaining the variation across hospitals in Norway and determine the impact when testing for hospitals with low or high mortality.

Methods and Results

Patient Administrative System data on all 45 448 patients admitted to hospitals in Norway with an incident stroke diagnosis from 2005 to 2009 were included. The data were merged with data from several databases to obtain information on vital status (dead/alive) and individual SDS variables. Logistic regression models were compared to estimate the predictive effect of individual and neighborhood SDS on 30‐day mortality and to determine outlier hospitals. All individual SDS factors, except travel time, were statistically significant predictors of 30‐day mortality. Of the municipal variables, only the municipal variable proportion of low income was statistically significant as a predictor of 30‐day mortality. Including sociodemographic characteristics of the individual and other characteristics of the municipality improved the model fit. However, performance classification was only changed for 1 (out of 56) hospital, from “significantly high mortality” to “nonoutlier.”

Conclusions

Our study showed that those stroke patients with a lower SDS have higher odds of dying after 30 days compared with those with a higher SDS, although this did not have a substantial impact when classifying providers as performing as expected, better than expected, or worse than expected.