| Literature DB >> 29021439 |
Masaru Suzuki1, Toshiharu Ikaga2, Shingo Hori1.
Abstract
Objective Bath-related sudden cardiac arrests occur frequently in Japan. Although previous studies have reported that most fatal events occurr in winter, the reason why such events exhibit a seasonal variation has not been elucidated. In this study, we hypothesized that the occurrence of bath-related deaths was correlated with a low air temperature. Methods This prospective cross-sectional observational study was conducted in the Tokyo Metropolitan area between October 2012 and March 2013. Data were collected for all cases involving the activation of the emergency medical system because of an accident or acute illness related to bathing that occurred in Tokyo during the study period. In particular, elderly (≥65 years) cardiac arrest victims who had been found in a bathtub filled with water were enrolled. The relationship between the daily number of cardiac arrest events and the lowest daily air temperature in Tokyo was studied using a nonlinear regression model. Results A total of 3,624 bath-related events were registered in this study. Among these events, 1,081 deaths of elderly individuals who had been found in a bathtub filled with water were recorded. A close correlation was observed between the daily number of events and the lowest daily air temperature. This correlation was described by the following equation: y=8.38e-0.07x, where y was the daily number of cardiac arrests and x was the lowest daily air temperature. Conclusion A low air temperature was closely correlated with the occurrence of bath-related cardiac arrest.Entities:
Keywords: aging; cardiac arrest; cold environment; mortality; prevention; weather
Mesh:
Year: 2017 PMID: 29021439 PMCID: PMC5742388 DOI: 10.2169/internalmedicine.9156-17
Source DB: PubMed Journal: Intern Med ISSN: 0918-2918 Impact factor: 1.271
Items on the Surveillance Card for Emergency Personnel.
| Data items | Details |
|---|---|
| Demographics | Age and Sex |
| Vital signs | Level of consciousness, heart rate, blood pressure and body temperature |
| Condition | Cardiac arrest |
| Preceding alcohol ingestion | Yes, No or Unknown |
| Setting of the bathroom | Home |
| Actual event site | In the tub |
| Submersion of victim’s face in tub water | Yes or No |
Details of Bath-related Events during a 6-month Period Beginning in October 2012 in Tokyo.
| Total | Elderly (≥65 y/o) | ||||
|---|---|---|---|---|---|
| N=3,624 (%) | N=2,947 (%) | ||||
| In the tub | Outside the tub | In the tub | Outside the tub | ||
| Total | 2,275 (100) | 1,349 (100) | 2,030 (100) | 917 (100) | |
| Male | 1,354 (66) | 762 (56) | 1,102 (54) | 623 (68) | |
| Condition | |||||
| Cardiac arrest | 1,177 (52) | 98 (7) | 1,081 (53) | 66 (7) | |
| Survivor in need of help | 709 (31) | 56 (4) | 659 (32) | 42 (5) | |
| Acute illness | 341 (15) | 782 (58) | 268 (13) | 566 (60) | |
| Injury | 48 (2) | 410 (30) | 22 (1) | 242 (26) | |
| Unknown | 0 (0) | 3 (0) | 0 (0) | 1 (0) | |
Figure 1.Included and excluded patients in this study.
Characteristics of the Included Patients.
| Number of patients (%) | Number of unknown and/or missing data | |
|---|---|---|
| Setting of the bathroom | 1,051 / 27 | 3 |
| Home/other | (97% / 3%) | |
| Submersion of the victim’s face in tub water | 864 / 181 | 36 |
| yes/no | (83% / 17%) | |
| Preceding alcohol ingestion | 54 / 388 | 639 |
| yes/no | (12% / 88%) |
Figure 2.Monthly distribution of the number of bath-related cardiac arrests and the average daily air temperature. Fatal events were more frequent during colder months than during warmer ones.
Figure 3.Relationship between the daily number of cardiac arrest events and the lowest daily air temperature in Tokyo. A close correlation was observed between the daily number of events and the lowest daily air temperature.
Figure 4.Actual and estimated numbers of cardiac arrests. The solid black line shows the lowest daily temperature in Tokyo, as reported by the Japan Meteorological Agency. The gray line shows the observed number of daily cardiac arrests. The broken line shows the predicted number of cardiac arrests based on the data for the lowest daily air temperature.