Barriers from calling ambulance after recognizing stroke differed in adults younger or older than 75 years old in China

Non-compliance with medical recommendations results in delayed hospitalization and poorer prognosis in patients with cerebral ischemic stroke in Poland: Non-compliance effects on post-ischemic stroke prognosis

OBJECTIVES

This study aimed to reveal and analyze the causes of delays in reaching the hospital of patients with cerebral ischemic stroke and to assess their clinical picture.

MATERIAL AND METHODS

The study group included 161 patients with stroke, who reported to the hospital beyond the thrombolytic treatment therapeutic window. The control group consisted of 85 patients recruited consecutively with stroke who received thrombolytic treatment per eligibility criteria. Laboratory and medical imaging tests essential for neurological condition assessment were conducted in the study group. Control group research was based on retrospective analysis of medical records.

RESULTS

The rate of deaths during hospitalization was lower in the control group (4.7%) compared to the study group (14.9%). In the study group, more patients (16.8%) admitted to non-compliance with medical recommendations than in the control group (5.9%). There were no statistically significant differences in nicotinism and alcohol dependence syndrome frequency between both groups.

CONCLUSIONS

Based on each group inclusion criteria, a lower mortality rate in the control group indicates a crucial role of the therapeutic window in cerebral stroke treatment. Analysis of reasons for delay points out that efficient prophylaxis is the education of patients with stroke risk factors and their families.

Prediction of Late Hospital Arrival in Patients with Mild and Rapidly Improving Acute Ischemic Stroke in a Rural Area of China

Purpose

Among all ischemic stroke patients, more than half are mild and rapidly improving acute ischemic stroke (MaRAIS) patients. However, many MaRAIS patients do not recognize the disease early on, and thus they delay access to the treatment that would be most effective if provided earlier. This is especially true in rural areas. The aim of this study was to develop and validate a late hospital arrival risk nomogram in a rural Chinese population of patients with MaRAIS.

Methods

We developed a prediction model based on a training dataset of 173 MaRAIS patients collected from September 9, 2019 to May 13, 2020. Data analyzed included demographics and disease characteristics. A least absolute shrinkage and selection operator (LASSO) regression model was used to optimize feature selection for the late hospital arrival risk model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the features selected in the LASSO regression models. The discrimination, calibration, and clinical usefulness of the prediction model were assessed using the C-index, calibration plot, and decision curve analysis, respectively. Internal validation was then assessed using bootstrapping validation.

Results

Variables contained in the prediction nomogram included transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy. The model had moderate predictive power with a C-index of 0.709 (95% confidence interval: 0.636-0.783) and good calibration. In the internal validation, the C-index reached 0.692. The risk threshold was 30-97% according to the analysis of the decision curve, and the nomogram could be applied in clinical practice.

Conclusion

This novel nomogram, which incorporates transportation mode, history of diabetes, knowledge of stroke symptoms, and thrombolytic therapy, was conveniently applied to facilitate individual late hospital arrival risk prediction among MaRAIS patients in a rural area of Shanghai, China.

Clinical Significance and Value of Serum Homocysteine and Urine 11 Dehydrothromboxane B2 Combined with Transferrin-Specific Peptide in the Diagnosis of Cerebral Apoplexy

Objective

To explore the clinical significance and value of serum homocysteine (Hcy) and urine 11 dehydrothromboxane B2 (urine 11-DH-TXB2) combined with transferrin-specific peptide (TF-UP) in the diagnosis of stroke.

Methods

One hundred stroke patients treated from January 2019 to June 2021 were enrolled in our hospital as the study group. All the patients in the study group met the diagnostic criteria of stroke. The focus of stroke was confirmed by CT or MRI, and the first onset was less than 48 hours. One hundred healthy persons who went through physical examination in our hospital were enrolled as the control group. The comparison was taken to explore the clinical significance and value of Hcy and urine 11-DH-TXB2 combined with TF-UP in the diagnosis of stroke.

Results

There exhibited no significant difference in the history of smoking, drinking, and atrial fibrillation (P > 0.05). There were significant differences in systolic blood pressure, diastolic blood pressure, eGFR, history of hypertension, diabetes, and coronary heart disease (P < 0.05). In terms of the levels of Hcy, urine 11-DH-TXB2, and TF-UP, the levels of Hcy and urine 11-DH-TXB2 in the study group were higher compared to the control group, while the level of TF-UP in the study group was lower compared to the control group (P < 0.05). The results of logistic regression analysis indicated that there was a significant correlation between Hcy, urine 11-DH-TXB2, TF-UP, and stroke, and Hcy and urine 11-DH-TXB2 indicated positive correlation with stroke disease, while TF-UP level was negatively correlated with stroke disease (P < 0.05). The levels of Hcy, urine 11-DH-TXB2, and TF-UP were adopted as evaluation indexes to draw ROC curve. The results show that the area under the curve (AUC) of Hcy is 0.760 (95% CI 0.670~0.850). The best critical point was 3342.5 pg/mg Ucr, the sensitivity was 65.6%, and the specificity was 77.1%. The AUC of urine 11-DH-TXB2 was 0.773 (95% CI 0.685~0.861). The best critical point was 3354.44 pg/mg Ucr, the sensitivity was 71.2%, and the specificity was 78.3%. The AUC of TF-UP was 0.735 (95% CI 0.641~0.829). The best critical point was 3365.43 pg/mg Ucr, the sensitivity was 68.4%, and the specificity was 80.5%. If Hcy was detected in combination with other indexes, AUC increased to 0.749 when combined with urine 11-DH-TXB2, and AUC increased to 0.797 when combined with TF-UP. When the three are combined, the AUC can reach 0.836, the sensitivity is 79.1%, and the specificity is 80%. It shows that the combined detection of Hcy, urine 11-DH-TXB2, and TF-UP is of higher diagnostic value. The difference of data exhibited statistically significant (P < 0.05).

Conclusion

There is imbalance between Hcy, urine 11-DH-TXB2, and TF-UP in patients with acute stroke. High Hcy, urine 11-DH-TXB2, and low TF-UP are closely related to the occurrence of cerebral infarction. Hcy, urine 11-DH-TXB2, and TF-UP may be the risk factors of stroke and positively correlated with the degree of neurological impairment. Effective monitoring of Hcy and urine 11-DH-TXB2 combined with TF-UP levels and positive intervention measures may effectively prevent the occurrence and development of cerebral infarction, reduce Hcy and urine 11-DH-TXB2, or increase the level of TF-UP, which may provide new ideas for the treatment of cerebrovascular diseases.

Awareness, Recognition, and Response to Stroke among the General Public-An Observational Study

Objective  To evaluate awareness and response to stroke among the general public.

Materials and Methods  In this prospective, observational study, self-reported stroke awareness questionnaire was administered in 2000 consecutive participants who visited outpatient clinic of a tertiary care hospital. For data analysis, comparison included for awareness of stroke and response in case of stroke.

Results  The average age of the study participants was 39.64 ± 15.55 (17–85), with 651(32.6%) women. Among the respondents, 786(39.3%) participants mentioned stroke as blood clot in the brain; 268(13.4%) stated it as brain hemorrhage. Awareness of stroke was higher in people in cities (71.0 vs. 8.5%; p  < 0.001) and graduates (75.3 vs. 60.9%; p  < 0.001) or knew a family member or friend who had stroke (42.7 vs. 30.4%; p  < 0.001). Most commonly recognized risk factors included stress (1,152; 57.6%) and hypertension (1,148; 57.4%). Most identified warning sign was weakness of one side of body (807; 40.4%) and speech impairment (658; 32.9%). Participants who were aware of stroke knew a greater number of risk factors (3.75 ± 2.88 vs. 2.45 ± 2.66; p  < 0.001) and warning signs (2.85 ± 2.25 vs. 1.49 ± 1.41; p <0.001). Among 1,138 participants who were aware of stroke, 166 (14.6%) participants knew one correct response in case of a stroke, either call a doctor (49.3 vs. 35.0%; p <0.001) or call an ambulance (41.1 vs. 34.9%; p  = 0.055). Participants who knew one correct response to stroke had at least a family member/friend who had stroke (44.1 vs. 34.3%; p  < 0.022).

Conclusion  We report that among 56.9% of the participants who were aware of stroke most could not name more than four risk factors or three warning signs of stroke. Only 14.6% of those aware of stroke knew appropriate response to stroke.

Early Hospital Arrival After Acute Ischemic Stroke Is Associated With Family Members' Knowledge About Stroke

Background and Purpose: Prehospital delay is the major factor limiting intravenous thrombolysis and mechanical thrombectomy in acute ischemic stroke (AIS). This study aimed to: (1) identify factors related to prehospital delay and (2) determine the impact of recognition and behavior of family members on patient delay. Methods: A cross-sectional, multicenter study was conducted at six teaching hospitals in China between December 1, 2018 and November 30, 2019. Patients who experienced AIS within 7 days of onset were interviewed. Results: Of 1,782 consecutive patients (male, 57.97%; mean age, 66.3 ± 9.65 years) who had an AIS, 267 (14.98%) patients arrived within 4.5 h and 722 (40.52%) patients arrived within 6 h of stroke onset. Among patients who arrived within 4.5 h, 103 (38.6%) received thrombolysis. Age over 65 years (OR, 2.009; 95% CI, 1.014-3.982), prior stroke (OR, 3.478; 95% CI, 1.311-9.229), blurred vision (OR, 3.95; 95% CI, 1.71-9.123), and patients deciding to seek medical help (OR, 3.097; 95% CI, 1.417-6.769) were independently associated with late arrival. In contrast, sudden onset of symptoms (OR, 0.075; 95% CI, 0.028-0.196), the National Institutes of Health Stroke Scale 7-15 (OR, 0.093; 95% CI, 0.035-0.251), consciousness disturbance (OR, 0.258; 95% CI, 0.091-0.734), weakness (OR, 0.265; 95% CI, 0.09-0.784), arrival by ambulance (OR, 0.102; 95% CI, 0.049-0.211), decision time <30 min (OR, 0.008; 95% CI, 0.003-0.018), and family member understanding stroke requires early treatment (OR, 0.224; 95% CI, 0.109-0.462) were independently associated with early arrival. Conclusions: The prehospital delay in China lags behind Western countries. Recognition and behavior of stroke patients' family members may play a key role in early arrival.

Choice of Transport to Hospital in Nonurban Areas in Life-Threatening Situations: A Qualitative Research

The time it takes to begin treatment in life-threatening situations is critical. Ambulance transport to the hospital in such situations ensures quick and effective treatment but is not always readily available in nonurban areas, or not preferred by the public, for various reasons. The purpose of this qualitative study was to examine the factors that deter or encourage ambulance use in life-threatening situations in the geographic periphery from clients' perspectives. We conducted interviews with 71 patients in 3 medical centers who had arrived by ambulance or by private transport, and with the 3 emergency department directors. The findings revealed that awareness of the clinical situation and health literacy, accessibility of emergency services, geographical conditions, and social and economic factors are central in the decision to utilize this service. We detail research recommendations for strengthening public health literacy and access to services.