Time series analysis of the effect of diurnal temperature range on daily inpatients with chronic kidney disease in Urumqi
Objective To investigate the influence of diurnal temperature range (DTR) on the daily hospitalization with chronic kidney diseases (CKD).Methods CKD daily inpatient data of four Grade III hospitals, four Grade II hospitals and one Grade I hospital in Urumqi were collected from January 1, 2019 to De...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of New Medicine
2024-02-01
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| Series: | Yixue xinzhi zazhi |
| Subjects: | |
| Online Access: | https://yxxz.whuznhmedj.com/futureApi/storage/attach/2403/C4e0jfs3uqlYIbUv3zgPT6eFtH5XMnGCkKMo3JxB.pdf |
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| Summary: | Objective To investigate the influence of diurnal temperature range (DTR) on the daily hospitalization with chronic kidney diseases (CKD).Methods CKD daily inpatient data of four Grade III hospitals, four Grade II hospitals and one Grade I hospital in Urumqi were collected from January 1, 2019 to December 31, 2020. Meteorological and pollutant data during the same period were collected from six state-controlled monitoring points in the main urban area of Urumqi. A distributed lag no-linear model (DLNM) was used to analyze the relationship between DTR and daily inpatients in CKD, controlling for day of the week effect, holiday effect, long-term trend and other factors, analyzing the relationship between DTR and CKD daily hospitalization.Results The expose-response curves of the number of patients admitted to CKD daily and DTR (with a lag of 0-21 days) showed an "N" shape, and the hospitalization risk of CKD patients increased first and then decreased with the increase of DTR. The influence of low and high DTR on hospitalization of CKD patients has a certain lag effect, while the influence of moderate DTR on hospitalization is small. DTR=5℃, the single-day effect appeared on day 3 [RR=1.081, 95%CI(1.020, 1.145), P |
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| ISSN: | 1004-5511 |