Relationship of Ambient Temperature Parameters to Stroke Incidence in a Japanese Population - Takashima Stroke Registry, Japan, 1988-2010

Survey of patients with stroke in the Kitakyushu Area, Japan: a 12-year retrospective analysis of the critical pathway

OBJECTIVES

We aimed to clarify the incidence, clinical profile, outcome, and activities of daily living of patients with stroke using the Kitakyushu clinical pathway database and to investigate the characteristics of patients with stroke in the Kitakyushu medical area in Japan.

MATERIALS AND METHODS

The clinical data of patients with stroke registered in the Kitakyushu database between April 1, 2009 and December 31, 2021 were retrospectively examined. The National Institutes of Health Stroke Scale was used to classify stroke severity. A descriptive analysis of basic variables, including age, stroke type, length of hospital stay, and activities of daily living, according to stroke severity was conducted.

RESULTS

There were 7,487 acute care hospital patients and 5,441 rehabilitation hospital patients. Compared with patients in similar cities in Japan, patients in the Kitakyushu area tended to be older at the time of stroke onset with a higher proportion of cases of hemorrhagic stroke. Length of hospital stay in both acute and rehabilitation hospitals increased with stroke severity. The Functional Independence Measure gain was highest in patients with moderate disability.

CONCLUSIONS

Compared with patients in similar cities in Japan, in the Kitakyushu area, patients with stroke were older and the proportion of patients with hemorrhagic stroke was higher. Stroke rehabilitation therapy is effective for patients with moderately severe stroke.

Effect of abnormal values of three temperature indicators on ischemic stroke hospital admissions in Guangzhou, China

Abnormal temperature has important effects on the occurrence of ischemic stroke (IS). However, relatively less efforts have been taken to systematically unravel the association between various abnormal temperature and IS hospital admission. Focusing on three temperature indicators (i.e., mean temperature, maximum temperature, and minimum temperature), this study attempts to analyse how their abnormal values affect IS hospital admission. The dataset covers the period between September 17, 2012 and August 28, 2018, and includes a total of 1464 cases who were admitted to the hospital for the first onset of IS and lived in the main urban area of Guangzhou. The study adopts the time-stratified case-crossover analysis. Abnormal values of temperature were measured using the 2.5th and 97.5th quantile values of each temperature indicator, with the former refers to a low value whereas the latter a high one. The effects of abnormal temperature on IS hospital admission were assessed through calculating the relative risks induced by the low and high values (the median values of each temperature indicators were taken as the references). The results show that the risk window periods for IS hospital admission associated with the low values of the temperature indicators are the lags of 3-7 days and 18-19 days. The risks of high temperature values on IS admission, however, are insignificant with either one-day lag or cumulative lag. As to different population groups, females show higher risks of IS hospital admission at low temperature values than males; and elderly people, compared with young people, are more vulnerable to low temperature values. To cities with similar climate of Guangzhou, particular attention should be paid to the impact of low temperature values, especially the low value of minimum temperature, on IS admission, and to females and elderly people who are more sensitive to abnormal temperatures.