PURPOSE: This study shows the relationship between meteorological factors and the number of community acquired pneumonia (CAP) patients in the emergency room and lag effect of meteorological factors affecting CAP. METHODS: A retrospective study was conducted. Patients diagnosed with CAP in the emergency room between January 2012 and December 2014 were enrolled. The patients were over 18 years old and lived in Seoul, Korea. Meteorological factors (highest daily temperature, lowest temperature, mean temperature, diurnal temperature, rainfall, relative humidity, amount of sunshine, and powdery dust under 10 microg/m3 (PM10)) between December 2011 and December 2014 in Seoul were acquired from the Korea Meteorological Administration. Multiple Poisson regression (Generalized Linear Model) was used with daily patient's number of CAP as the response variable and meteorological factors as the explanatory variable. Variable selection was performed via Elastic net. RESULTS: A total of 568 CAP patients were checked. Highest temperature (before 6 days), rainfall (before 1 day), relative humidity (before 20, 15, 13, 6, 2, and 1 days), and PM10 (before 27, 24, 17, and 13 days) showed relationship and lag effect with the incidence of CAP. CONCLUSION: This study showed that meteorological factors (highest temperature, rainfall, relative humidity, and PM10) had relationship and lag effect with the incidence of CAP. We can make a prediction model with health weather index for prevention of CAP and redistribution of medical facilities and resources.
Dust ; Emergency Service, Hospital ; Humans ; Humidity ; Incidence ; Korea ; Meteorological Concepts ; Pneumonia* ; Regression Analysis ; Retrospective Studies ; Seoul ; Sunlight ; Weather*

PURPOSE: We made a clinical comparison of elderly patients from home and residential aged care facilities (RACFs) who visited the emergency department and were hospitalized with acute ischemic stroke. In addition, we investigated the factors associated with prehospital delay in acute ischemic stroke. METHODS: A retrospective study was conducted in a public hospital between January 2013 and December 2016. Information regarding the patients was registered including gender, age, comorbidities, symptoms at onset, use of emergency medical services, National Institute of Health Stroke Scale (NIHSS) at the emergency department, symptom-to-door time, etc. Characteristics of the patients were analyzed and logistic regression analysis was conducted to identify factors associated with symptom-to-door time. RESULTS: A total of 402 patients were enrolled during the study period. Overall, 339 elderly patients visited from home and 63 patients from RACFs, and patients from home were divided into two groups, living with family (n=274) and living alone (n=65). Patients from RACFs were older (≤0.001) and had higher NIHSS (p=0.007) than patients from home, but there were no significant relationships between symptom-to-door time and age (p=0.525), NIHSS (p=0.428). There was no difference in symptom-to-door time between patients living with family and patients from RACFs, but patients living alone had delayed symptom-to-door time (p < 0.001). CONCLUSION: Elderly patients living alone were among the three groups that had the most delayed symptom-to-door time. Therefore, it is necessary to expand and supplement support for elderly patients living alone, as well as to improve education regarding acute ischemic stroke.
Aged ; Cerebral Infarction ; Comorbidity ; Education ; Emergency Medical Services ; Emergency Service, Hospital ; Hospitals, Public ; Housing for the Elderly ; Humans ; Logistic Models ; Nursing Homes ; Retrospective Studies ; Stroke ; Transportation of Patients