Effects of internet-based digital health interventions on the physical activity and quality of life of colorectal cancer survivors: a systematic review and meta-analysis.

PURPOSE: The recent trend of Internet-based digital health interventions has driven researchers to implement them to promote physical activity (PA) and improve patients' health outcomes. This systematic review and meta-analysis aim to evaluate the effects of Internet-based digital health interventions on PA and quality of life (QoL) in colorectal cancer (CRC) survivors. METHODS: We searched for relevant studies investigating the effects of internet-based digital health interventions published until Dec. 2022 in electronic databases (PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, and CEPS) according to PRISMA guidelines. The Joanna Briggs Institute critical appraisal checklist was used to examine the quality of the included studies. We performed the fixed and random effects model for meta-analysis. RESULTS: Among 746 identified studies, eight published between 2018 and 2022 were included. These covered 991 internet-based digital health interventions and 875 controls. After 6 months of internet-based digital health interventions, CRC survivors' performance in PA (standardized mean difference (SMD) = 0.23, 95% confidence interval [CI] = 0.09-0.38) and QoL (SMD = 0.11, 95% CI = 0.01-0.22) indicators improved significantly. CONCLUSIONS: Internet-based digital health improved the PA behaviour and QoL of patients with CRC. Because of differences in intervention outcomes, additional randomized controlled trials are warranted to provide suggestions for clinical practice. Internet-based digital health interventions are promising for promoting PA in CRC survivors.

Association between initial in-hospital heart rate and glycemic control in patients with acute ischemic stroke and diabetes mellitus.

BACKGROUND: A high resting heart rate (HR) has been associated with an increased risk of diabetes mellitus. This study explored the association between initial in-hospital HR and glycemic control in patients with acute ischemic stroke (AIS) and diabetes mellitus. METHODS: We analyzed data from 4,715 patients with AIS and type 2 diabetes mellitus enrolled in the Chang Gung Research Database between January 2010 and September 2018. The study outcome was unfavorable glycemic control, defined as glycated hemoglobin (HbA1c) ≥ 7%. In statistical analyses, the mean initial in-hospital HR was used as both a continuous and categorical variable. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression analysis. The associations between the HR subgroups and HbA1c levels were analyzed using a generalized linear model. RESULTS: Compared with the reference group (HR < 60 bpm), the adjusted ORs for unfavorable glycemic control were 1.093 (95% CI 0.786-1.519) for an HR of 60-69 bpm, 1.370 (95% CI 0.991-1.892) for an HR of 70-79 bpm, and 1.608 (95% CI 1.145-2.257) for an HR of ≥ 80 bpm. Even after adjusting for possible confounders, the HbA1c levels after admission and discharge among diabetic stroke patients increased significantly in the subgroups with higher HRs (p < 0.001). CONCLUSIONS: High initial in-hospital HR is associated with unfavorable glycemic control in patients with AIS and diabetes mellitus, particularly in those with an HR of ≥ 80 bpm, compared with those with an HR of < 60 bpm.

A parsimonious and comprehensive screening tool for adult health behaviors.

BACKGROUND: A practical screening tool for early detection of unhealthy behaviors among adults to provide tailored care can have an important role in public health nursing. PURPOSE: To develop a screening tool with valid psychometric properties for adult health behaviors (AHBs). METHODS: A cross-sectional study was conducted between March 2018 and September 2019 in central-southern Taiwan. The AHBs development included qualitative and quantitative measurement of items based on literature reviews and expert opinion and exploration and confirmatory factor analysis. RESULTS: A total of 765 community adult participants: 377 women and 388 men, with a mean age of 39.3 (SD = 10.6), ranging from 20 to 64 years completed the AHBs screening tool. Analysis of the 23-items AHBs scale identified six dimensions - stress management, physical activity, health responsibility, life appreciation, healthy eating, and oral hygiene accounting for 67.3% of the variance. Total scale scores were significantly associated with a criterion variable of life satisfaction. CONCLUSION: The AHBs scale is a suitable screening tool that can be used to identify adults' unhealthy behaviors early, which is useful for public health nurses to conduct a regular assessment and initiate individualized health programs.

[Role Function and Policy Prospects of Long-Term Care Nurses in Taiwan: Evidence-Based Policy Recommendations of Professional Nursing Organizations].

Professional nursing organizations represent an important channel for the nursing profession to influence health policy, represent and protect the interests of nurses, and advocate for the further development of the profession. Facing the rapidly increasing aging population and emerging needs of long-term care in Taiwan, the Taiwan Nurses Association launched an integrated project to propose policy advice on the development of nursing in long-term care. In this paper, the relevant findings in the domestic and foreign literature are summarized to better define the role function and core competence of long-term care nurses. In addition, the current tasks, perceived competence, and training needs of nurses working in long term care settings are presented, and the consensus on various advocacy strategies are summarized. The findings presented in this study may be referenced when developing evidence-based policy recommendations related to education, practice, legal / regulatory amendments, and professional organizations.

Initial in-hospital heart rate is associated with three-month functional outcomes after acute ischemic stroke.

BACKGROUND: Increased heart rate (HR) has been associated with stroke risk and outcomes. MATERIAL AND METHODS: We analyzed 1,420 patients from a hospital-based stroke registry with acute ischemic stroke (AIS). Mean initial in-hospital HR and the coefficient of variation of HR (HR-CV) were derived from the values recorded during the first 3 days of hospitalization. The study outcome was the 3-month functional outcome. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using multivariable logistic regression analysis. RESULTS: A higher mean HR level was significantly and continuously associated with a higher probability of unfavorable functional outcomes. Compared with the reference group (mean HR < 70 beats per minute), the multivariate-adjusted OR for an unfavorable outcome was 1.81 (95% CI, 1.25-2.61) for a mean HR ≥ 70 and < 80 beats per minute, 2.52 (95% CI, 1.66 - 3.52) for a mean HR ≥ 80 and < 90 beats per minute, and 3.88 (95% CI, 2.20-6.85) for mean HR ≥ 90 beats per minute. For stroke patients with a history of hypertension, the multivariate-adjusted OR for patients with a HR-CV ≥ 0.12 (versus patients with a HR-CV < 0.08 as a reference) was 1.73 (95% CI, 1.11-2.70) for an unfavorable outcome. CONCLUSIONS: Our results indicated that a high initial in-hospital HR was significantly associated with unfavorable 3-month functional outcomes in patients with AIS. In addition, stroke patients with a HR-CV ≥ 0.12 also had unfavorable outcomes compared with those with a HR-CV < 0.08 if they had a history of hypertension.

A common polymorphism decreases LRP1 mRNA stability and is associated with increased plasma factor VIII levels.

The low-density lipoprotein receptor-related protein 1 (LRP1) gene is associated with increased levels of plasma factor VIII (FVIII). We aimed to explore eight functional genetic LRP1 variants for their potential roles in regulating FVIII levels and acute ischemic stroke (AIS). This genetic association study enrolled 192 patients with AIS and 134 controls. There were no significant differences in the genetic frequency of the eight functional single-nucleotide polymorphisms (SNPs) between the control and AIS groups. However, while analyzing the association between the eight SNPs and plasma FVIII levels, subjects with T/T genotype of rs1800137 (vs. CC+CT) were found to be associated with higher FVIII levels (23.5IU/dL; 95% confidence interval, 7.4-39.5IU/dL; P=0.0044) after adjusting for age, gender, estimated glomerular filtration rate, O blood type, inflammatory state, and body mass index. An analysis of the mRNA stability and abundance was designed and performed using minigene system transfected into HepG2 cells to assess the possible differences in mRNA stabilities between rs1800137 CC (rs1800137C) and TT (rs1800137T) genotypes. Site-directed mutagenesis revealed that rs1800137T accounts for the observed decrease in mRNA stability. The SNP rs1800137, located in exon 8, has been identified as an exon-splicing enhancer in silico. However, alternative splicing of LRP1 without inclusion of exon 8 was not identified. In transfected HepG2 cells, cycloheximide slowed down the degradation of the rs1800137T-containing minigene. These results demonstrate that synonymous SNP rs1800137 can lead to increased plasma FVIII levels due to decreased mRNA stability via translation-dependent mRNA degradation associated with codon optimality.

Shortened Activated Partial Thromboplastin Time Is Associated With Acute Ischemic Stroke, Stroke Severity, and Neurological Worsening.

BACKGROUND: The role played by hemostasis in the pathogenesis of ischemic strokes is still controversial. The activated partial thromboplastin time (APTT) measures the time necessary to generate fibrin from initiation of the intrinsic pathway. In the present study, we looked for a possible association of ischemic strokes with the shortened APTT. METHODS: The study population consisted of 154 patients with acute ischemic strokes who had been admitted from December 2013 to December 2014 to the Department of Neurology, Chiayi Chang Gung Memorial Hospital, and 71 control subjects with no history of stroke. RESULTS: In a univariate risk analysis, shortened APTT was associated with an odds ratio (OR) for acute ischemic strokes of up to 1.86 (95% confidence interval [CI], 1.06-3.29, P = .031). In a multivariate analysis using a logistic regression model including age, sex, hypertension, diabetes mellitus, and shortened APTT, shortened APTT was still found to significantly add to the risk of ischemic stroke (OR = 2.12 with 95% CI, 1.13-3.98, P = .020). Shortened APTT was also associated significantly with neurological worsening (OR = 3.72 with 95% CI 1.03-13.5, P = .046). As for stroke severity, shortened APTT was associated with an OR for moderate/severe stroke of up to 3.42 (95% CI, 1.53-7.61, P = .003). CONCLUSION: Shortened APTT is a prevalent and independent risk factor for ischemic stroke, stroke severity, and neurological worsening after acute stroke.

Toothbrushing versus toothbrushing plus tongue cleaning in reducing halitosis and tongue coating: a systematic review and meta-analysis.

BACKGROUND: Halitosis affects people of all ages. Among hospitalized patients, oral care includes toothbrushing and mouth rinses. Tongue cleaning is not included in most guidelines or nursing education curricula. OBJECTIVES: The aim of this study was to compare the effectiveness of two types of oral care, toothbrushing alone and toothbrushing plus tongue cleaning, on halitosis and tongue coating (TC). METHODS: A systematic review and meta-analysis of randomized controlled trials were conducted to compare toothbrushing and toothbrushing plus tongue cleaning during oral care to reduce halitosis and TC. The databases included PubMed, ProQuest, CINAHL, the Cochrane Central Register of Controlled Trials, experts, and bibliographic review. A quality assessment of study reports and methodology was conducted using the CONSORT checklist and the Jadad Scale. The measurement of volatile sulfide compounds (VSCs) evaluated halitosis, whereas TC was measured with assessment indexes. RESULTS: Seven experimental data sets were obtained from five randomized clinical trials. There were 188 male and 63 female subjects within an age range of 17-80 years. All intervention groups indicate a large effect size of toothbrushing plus tongue cleaning decreases volatile sulfur compounds and TC by 0.745 and 0.922, respectively, compared with toothbrushing only. DISCUSSION: The use of toothbrushing plus tongue cleaning compared with toothbrushing alone significantly reduced the indicators of halitosis and TC. However, there is insufficient evidence to recommend frequency, duration, or delivery method of tongue cleaning. Further research is needed to articulate a comprehensive clinical guideline. Oral care is an important nursing intervention. Tongue cleaning should be incorporated into current nursing procedures.

Development and Validation of a Novel Score for Predicting Long-Term Mortality after an Acute Ischemic Stroke.

BACKGROUND: Long-term mortality prediction can guide feasible discharge care plans and coordinate appropriate rehabilitation services. We aimed to develop and validate a prediction model to identify patients at risk of mortality after acute ischemic stroke (AIS). METHODS: The primary outcome was all-cause mortality, and the secondary outcome was cardiovascular death. This study included 21,463 patients with AIS. Three risk prediction models were developed and evaluated: a penalized Cox model, a random survival forest model, and a DeepSurv model. A simplified risk scoring system, called the C-HAND (history of Cancer before admission, Heart rate, Age, eNIHSS, and Dyslipidemia) score, was created based on regression coefficients in the multivariate Cox model for both study outcomes. RESULTS: All experimental models achieved a concordance index of 0.8, with no significant difference in predicting poststroke long-term mortality. The C-HAND score exhibited reasonable discriminative ability for both study outcomes, with concordance indices of 0.775 and 0.798. CONCLUSIONS: Reliable prediction models for long-term poststroke mortality were developed using information routinely available to clinicians during hospitalization.

Initial In-Hospital Visit-to-Visit Heart Rate Variability Is Associated with Higher Risk of Atrial Fibrillation in Patients with Acute Ischemic Stroke.

BACKGROUND: To evaluate the association between the visit-to-visit heart rate variability and the risk of atrial fibrillation (AF) in acute ischemic stroke (AIS). METHODS: We analyzed the data of 8179 patients with AIS. Patients without AF on 12-lead electrocardiography underwent further 24 h Holter monitoring. They were categorized into four subgroups according to the visit-to-visit heart rate variability expressed as the coefficient of variation in heart rate (HR-CV). Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using the HR-CV < 0.08 subgroup as a reference. RESULTS: The adjusted OR of paroxysmal AF was 1.866 (95% CI = 1.205-2.889) for the HR-CV ≥ 0.08 and <0.10 subgroup, 1.889 (95% CI = 1.174-3.038) for the HR-CV ≥ 0.10 and <0.12 subgroup, and 5.564 (95% CI = 3.847-8.047) for the HR-CV ≥ 0.12 subgroup. The adjusted OR of persistent AF was 2.425 (95% CI = 1.921-3.062) for the HR-CV ≥ 0.08 and <0.10 subgroup, 4.312 (95% CI = 3.415-5.446) for the HR-CV ≥ 0.10 and <0.12 subgroup, and 5.651 (95% CI = 4.586-6.964) for the HR-CV ≥ 0.12 subgroup. CONCLUSIONS: HR-CV can facilitate the identification of patients with AIS at a high risk of paroxysmal AF.

Association between Oral Frailty and Physical Frailty among Rural Middle-Old Community-Dwelling People with Cognitive Decline in Taiwan: A Cross-Sectional Study.

This cross-sectional study was conducted to clarify the association between oral frailty (OF) and physical frailty (PF). In total, 308 Taiwanese middle-old (75−84 years) community-dwelling people with cognitive decline were recruited from random rural community health care centers. Eight items were considered for the evaluation of their OF status. The Study of Osteoporotic Fracture index was used for frailty assessment, which revealed that 22% of the participants had PF. In an adjusted model, PF was significantly associated with the OF subdomains of difficult to eat hard food (p = 0.009), choking (p = 0.008), denture use (p = 0.008), and inability to chew hard food (p = 0.001); and high risk of OF (OR = 3.03; p = 0.002). After eight steps with elimination of the least significant independent variable, age (p= 0.008), self-reported health status of fair (p = 0.000) and poor (p = 0.000), mild cognitive impairment (p < 0.001) and denture use (p = 0.011) were found to be the indispensable predictors for PF. The logistic regression model with 5 indispensable variables had a predictive value of 78.2%. Longitudinal analyses are needed to examine whether OF is a risk factor for PF onset.

Association of Eating Behavior, Nutritional Risk, and Frailty with Sarcopenia in Taiwanese Rural Community-Dwelling Elders: A Cross-Sectional Study.

This cross-sectional study assessed the association of eating behavior, nutritional risk, and frailty with sarcopenia in 208 community-dwelling individuals aged ≥65 years who were recruited from random rural community care centers in Chiayi County, Taiwan. The participants' eating behavior was categorized into six categories. The gait speed (GS), grip strength, and appendicular skeletal muscle mass (ASM) were assessed based on these three parameters, which revealed that 50.9% of the participants had sarcopenia. In an adjusted model, water intake (odds ratio (OR) = 0.99, p = 0.044), dairy product intake (OR = 0.42, p = 0.049), body mass index (BMI) (OR = 0.77, p = 0.019), and marital status with widowed (OR = 0.31, p = 0.005) were significantly associated with sarcopenia. After eight steps of eliminating the least significant independent variable, age (p = 0.002), sex (p = 0.000), marital status with widowed (p = 0.001), water intake (p < 0.018), dairy product intake (p < 0.019), and BMI (p = 0.005) were found to be indispensable predictors of sarcopenia. The logistic regression model with these six indispensable variables had a predictive value of 75.8%. Longitudinal analyses are warranted to examine whether eating behavior is a risk factor for sarcopenia onset.

Development and Validation of a Novel Score for Predicting Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke.

Atrial fibrillation (AF)-whether paroxysmal or sustained-increases the risk of stroke. We developed and validated a risk score for identifying patients at risk of paroxysmal atrial fibrillation (pAF) after acute ischemic stroke (AIS). A total of 6033 patients with AIS who received 24 h Holter monitoring were identified in the Chang Gung Research Database. Among the identified patients, 5290 with pAF and without AF were included in the multivariable logistic regression analysis to develop the pAF prediction model. The ABCD-SD score (Age, Systolic Blood pressure, Coronary artery disease, Dyslipidemia, and Standard Deviation of heart rate) comprises age (+2 points for every 10 years), systolic blood pressure (-1 point for every 20 mmHg), coronary artery disease (+2 points), dyslipidemia (-2 points), and standard deviation of heart rate (+2 points for every 3 beats per minute). Overall, 5.2% (274/5290) of patients had pAF. The pAF risk ranged from 0.8% (ABCD-SD score ≤ 7) to 18.3% (ABCD-SD score ≥ 15). The model achieved an area under the receiver operating characteristic curve (AUROCC) of 0.767 in the model development group. The ABCD-SD score could aid clinicians in identifying patients with AIS at risk of pAF for advanced cardiac monitoring.

Initial in-hospital heart rate is associated with long-term survival in patients with acute ischemic stroke.

AIMS: Increased heart rate has been associated with stroke risk and outcomes. The purpose of this study was to explore the long-term prognostic value of initial in-hospital heart rate in patients with acute ischemic stroke (AIS). METHODS: We analyzed data from 21,655 patients with AIS enrolled (January 2010-September 2018) in the Chang Gung Research Database. Mean initial in-hospital heart rates were averaged and categorized into 10-beat-per-minute (bpm) increments. The primary and secondary outcomes were all-cause mortality and cardiovascular death. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using multivariable adjusted Cox proportional hazard models, using the heart rate < 60 bpm subgroup as the reference. RESULTS: The adjusted HRs for all-cause mortality were 1.23 (95% CI 1.08-1.41) for heart rate 60-69 bpm, 1.74 (95% CI 1.53-1.97) for heart rate 70-79 bpm, 2.16 (95% CI 1.89-2.46) for heart rate 80-89 bpm, and 2.83 (95% CI 2.46-3.25) for heart rate ≥ 90 bpm compared with the reference group. Likewise, heart rate ≥ 60 bpm was also associated with an increased risk of cardiovascular death (adjusted HR 1.18 [95% CI 0.95-1.46] for heart rate 60-69 bpm, 1.57 [95% CI 1.28-1.93] for heart rate 70-79 bpm, 1.98 [95% CI 1.60-2.45] for heart rate 80-89 bpm, and 2.36 [95% CI 1.89-2.95] for heart rate ≥ 90 bpm). CONCLUSIONS: High initial in-hospital heart rate is an independent predictor of all-cause mortality and cardiovascular death in patients with AIS.

Oral Health as a Predictor of Physical Frailty among Rural Community-Dwelling Elderly in an Agricultural County of Taiwan: A Cross-Sectional Study.

We conducted a cross-sectional study to clarify the relationship between oral health and physical frailty (PF). A sample of 903 community-dwelling individuals aged ≥ 65 years were enrolled from random communities in Chiayi County. The self-perceived oral health (SPOH) and oral health assessment tool (OHAT), which consists of eight items, was used for the evaluation of their oral health status. PF was assessed based on the Study of Osteoporotic Fracture index. Overall, 14.6% of the participants had PF. In an adjusted model, restricted food types (odds ratio (OR) = 1.59, 95% confidence interval (CI): 1.2-2.09, p = 0.001), self-reported dental status (OR = 1.61, 95% CI: 1.2-2.15, p = 0.001), number of teeth (OR = 0.98, 95% CI: 0.96-0.99, p = 0.006), frequency of tooth cleaning (OR = 0.83, 95% CI: 0.68-1.0, p = 0.049), OHAT score (OR = 1.09, 95% CI: 1.02-1.17, p < 0.017), and saliva items of OHAT (OR = 1.52, 95% CI: 1.11-2.1, p = 0.010) were significantly associated with PF. SPOH is a crucial indicator of PF; longitudinal analyses are necessary to understand the underlying pathway of risk factors for frailty onset.

Risk stratification model for post-stroke pneumonia in patients with acute ischemic stroke.

BACKGROUND: Post-stroke pneumonia (PSP) has been implicated in the morbidity, mortality, and increased medical costs after acute ischemic stroke. AIM: The aim of this study was to develop a prediction model for PSP in patients with acute ischemic stroke. METHODS: A retrospective, case-control, secondary analysis study was conducted using data for 10,034 patients with ischemic stroke who presented to the hospital within 24 hours of onset of stroke symptoms. The predictive factors for PSP were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. RESULTS: Among the study population, 546 patients (5.4%) had PSP. Multivariate logistic regression revealed that age, atrial fibrillation, smoking habit, body temperature at admission, pulse rate at admission, National Institute of Health Stroke Scale (NIHSS) score upon admission, white blood cell count, and blood urea nitrogen level were major predictive factors of PSP. CART analysis identified NIHSS score at admission, pulse rate at admission, and percentage of lymphocyte as important factors for PSP to stratify the patients into subgroups. The subgroup of patients with an NIHSS score >14 at admission and pulse rate >111 beats per minute at admission and those with an NIHSS score >14, pulse rate ⩽111 beats per minute at admission, and percentage of lymphocyte ⩽9.2% had a relatively high risk of PSP (39.6% and 35.5%, respectively). CONCLUSIONS: In this study, CART analysis has a similar predictive value of PSP as compared with a logistic regression model. In addition, decision rules generated by CART can easily be interpreted and applied in clinical practice.

Hemostatic Enhancement via Chitosan Is Independent of Classical Clotting Pathways-A Quantitative Study.

Hemostasis is a process causing bleeding to stop, and it is known from the literature that hemostasis can be enhanced using chitosan on wound gauzes. We proposed here a continuous flow-through device, with the test blood flowing through the gauze sample at a constant flow rate and the pressure drop across the gauze measured, for assessing the hemostatic performance of the gauze. Experiments were performed using the device with both whole blood and washed blood (with clotting factors and platelets removed from the whole blood), and their results agree with each other within 10% discrepancy, indicating quantitatively that hemostatic enhancement via chitosan is essentially independent of classical clotting pathways, which was demonstrated qualitatively through animal tests in the literature. The proposed device and method can be applied for evaluating quantitatively the hemostatic performance of various gauzes in a flowing blood environment (in comparison with static tests) with less test blood (20-60% less, in comparison with that of a flow-through device driven by a constant pressure gradient), and are thus, helpful for designing better wound gauzes. In particular, it is effective to enhance the hemostatic performance further (additional 30%) through acidification (changing the amino group to the ammonium group) of the gauze for chitosan-based wound gauzes.

Determinants of Use of Long-term Continuous Electrocardiographic Monitoring for Acute Ischemic Stroke Patients without Atrial Fibrillation at Baseline.

BACKGROUND: Atrial fibrillation (AF) is the most common cardiac rhythm disorder associated with stroke. Increased risk of stroke is the same regardless of whether the AF is permanent or paroxysmal. However, detecting paroxysmal AF is challenging and resource intensive. We aimed to develop a predictive model for AF in patients with acute ischemic stroke, which could improve the detection rate of paroxysmal AF. METHODS: We analyzed 10,034 adult patients with acute ischemic stroke. Differences in clinical characteristics between the patients with and without AF were analyzed in order to develop a predictive model of AF. The associated factors for AF were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. We used another dataset, which enrolled 860 acute ischemic stroke patients without AF at baseline, to test whether the developed model could improve the detection rate of paroxysmal AF. Among the study population, 1,658 patients (16.5%) had AF. RESULTS: Multivariate logistic regression revealed that sex, age, body weight, hypertension, diabetes mellitus, hyperlipidemia, pulse rate at admission, respiratory rate at admission, systolic blood pressure at admission, diastolic blood pressure at admission, National Institute of Health Stroke Scale (NIHSS) score at admission, total cholesterol level, triglyceride level, aspartate transaminase level, and sodium level were major factors associated with AF. CART analysis identified NIHSS score at admission, age, triglyceride level, and aspartate transaminase level as important factors for AF to classify the patients into subgroups. CONCLUSION: When selecting the high-risk group of patients (with an NIHSS score >12 and age >64.5 years, or with an NIHSS score ≤12, age >71.5 years, and triglyceride level ≤61.5 mg/dL) according to the CART model, the detection rate of paroxysmal AF was approximately double in the acute ischemic stroke patients without AF at baseline.

Prediction Model of Early Return to Hospital after Discharge Following Acute Ischemic Stroke.

BACKGROUND: Reducing hospital readmissions for stroke remains a significant challenge to improve outcomes and decrease healthcare costs. METHODS: We analyzed 10,034 adult patients with ischemic stroke, presented within 24 hours of onset from a hospital-based stroke registry. The risk factors for early return to hospital after discharge were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. RESULTS: Among the study population, 277 (2.8%) had 3-day Emergency Department (ED) reattendance, 534 (5.3%) had 14-day readmission, and 932 (9.3%) had 30-day readmission. Multivariate logistic regression revealed that age, nasogastric tube feeding, indwelling urinary catheter, healthcare utilization behaviour, and stroke severity were major and common risk factors for an early return to the hospital after discharge. CART analysis identified nasogastric tube feeding and length of stay for 72-hour ED reattendance, Barthel Index (BI) score, total length of stay in the Year Preceding the index admission (YLOS), indwelling urinary catheter, and age for 14-day readmission, and nasogastric tube feeding, BI score, YLOS, and number of inpatient visits in the year preceding the index admission for 30-day readmission as important factors to classify the patients into subgroups. CONCLUSION: Although CART analysis did not improve the prediction of an early return to the hospital after stroke compared with logistic regression models, decision rules generated by CART can easily be interpreted and applied in clinical practice.

High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke.

BACKGROUND AND PURPOSE: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). METHODS: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. RESULTS: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 - 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 - 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). CONCLUSION: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.