Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis
Background: High ambient temperatures are a risk factor for nephrolithiasis, but the precise relationship between temperature and kidney stone presentation is unknown. Objectives: Our objective was to estimate associations between mean daily temperature and kidney stone presentation according to lag...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
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2015
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| Online Access: | https://hdl.handle.net/10356/106973 http://hdl.handle.net/10220/25540 |
| _version_ | 1826125117092003840 |
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| author | Tasian, Gregory Edward Pulido, Jose E. Gasparrini, Antonio Saigal, Christopher S. Horton, Benjamin P. Landis, J. Richard Madison, Rodger Keren, Ron |
| author2 | Earth Observatory of Singapore |
| author_facet | Earth Observatory of Singapore Tasian, Gregory Edward Pulido, Jose E. Gasparrini, Antonio Saigal, Christopher S. Horton, Benjamin P. Landis, J. Richard Madison, Rodger Keren, Ron |
| author_sort | Tasian, Gregory Edward |
| collection | NTU |
| description | Background: High ambient temperatures are a risk factor for nephrolithiasis, but the precise relationship between temperature and kidney stone presentation is unknown. Objectives: Our objective was to estimate associations between mean daily temperature and kidney stone presentation according to lag time and temperatures. Methods: Using a time-series design and distributed lag nonlinear models, we estimated the relative risk (RR) of kidney stone presentation associated with mean daily temperatures, including cumulative RR for a 20-day period, and RR for individual daily lags through 20 days. Our analysis used data from the MarketScan Commercial Claims database for 60,433 patients who sought medical evaluation or treatment of kidney stones from 2005–2011 in the U.S. cities of Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Los Angeles, California; and Philadelphia, Pennsylvania. Results: Associations between mean daily temperature and kidney stone presentation were not monotonic, and there was variation in the exposure–response curve shapes and the strength of associations at different temperatures. However, in most cases RRs increased for temperatures above the reference value of 10°C. The cumulative RR for a daily mean temperature of 30°C versus 10°C was 1.38 in Atlanta (95% CI: 1.07, 1.79), 1.37 in Chicago (95% CI: 1.07, 1.76), 1.36 in Dallas (95% CI: 1.10, 1.69), 1.11 in Los Angeles (95% CI: 0.73, 1.68), and 1.47 in Philadelphia (95% CI: 1.00, 2.17). Kidney stone presentations also were positively associated with temperatures < 2°C in Atlanta, and < 10°C in Chicago and Philadelphia. In four cities, the strongest association between kidney stone presentation and a daily mean temperature of 30°C versus 10°C was estimated for lags of ≤ 3 days. Conclusions: In general, kidney stone presentations increased with higher daily mean temperatures, with the strongest associations estimated for lags of only a few days. These findings further support an adverse effect of high temperatures on nephrolithiasis. |
| first_indexed | 2024-10-01T06:31:26Z |
| format | Journal Article |
| id | ntu-10356/106973 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:31:26Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/1069732022-02-16T16:27:47Z Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis Tasian, Gregory Edward Pulido, Jose E. Gasparrini, Antonio Saigal, Christopher S. Horton, Benjamin P. Landis, J. Richard Madison, Rodger Keren, Ron Earth Observatory of Singapore DRNTU::Social sciences::Geography::Environmental sciences Background: High ambient temperatures are a risk factor for nephrolithiasis, but the precise relationship between temperature and kidney stone presentation is unknown. Objectives: Our objective was to estimate associations between mean daily temperature and kidney stone presentation according to lag time and temperatures. Methods: Using a time-series design and distributed lag nonlinear models, we estimated the relative risk (RR) of kidney stone presentation associated with mean daily temperatures, including cumulative RR for a 20-day period, and RR for individual daily lags through 20 days. Our analysis used data from the MarketScan Commercial Claims database for 60,433 patients who sought medical evaluation or treatment of kidney stones from 2005–2011 in the U.S. cities of Atlanta, Georgia; Chicago, Illinois; Dallas, Texas; Los Angeles, California; and Philadelphia, Pennsylvania. Results: Associations between mean daily temperature and kidney stone presentation were not monotonic, and there was variation in the exposure–response curve shapes and the strength of associations at different temperatures. However, in most cases RRs increased for temperatures above the reference value of 10°C. The cumulative RR for a daily mean temperature of 30°C versus 10°C was 1.38 in Atlanta (95% CI: 1.07, 1.79), 1.37 in Chicago (95% CI: 1.07, 1.76), 1.36 in Dallas (95% CI: 1.10, 1.69), 1.11 in Los Angeles (95% CI: 0.73, 1.68), and 1.47 in Philadelphia (95% CI: 1.00, 2.17). Kidney stone presentations also were positively associated with temperatures < 2°C in Atlanta, and < 10°C in Chicago and Philadelphia. In four cities, the strongest association between kidney stone presentation and a daily mean temperature of 30°C versus 10°C was estimated for lags of ≤ 3 days. Conclusions: In general, kidney stone presentations increased with higher daily mean temperatures, with the strongest associations estimated for lags of only a few days. These findings further support an adverse effect of high temperatures on nephrolithiasis. Published version 2015-05-14T06:38:50Z 2019-12-06T22:22:10Z 2015-05-14T06:38:50Z 2019-12-06T22:22:10Z 2014 2014 Journal Article Tasian, G. E., Pulido, J. E., Gasparrini, A., Saigal, C. S., Horton, B. P., Landis, J. R., et al. (2014). Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis. Environmental health perspectives. 0091-6765 https://hdl.handle.net/10356/106973 http://hdl.handle.net/10220/25540 10.1289/ehp.1307703 25009122 en Environmental health perspectives This paper was published in Environmental Health Perspectives and is made available as an electronic reprint (preprint) with permission of National Institute of Environmental Health Sciences. The paper can be found at the following official DOI: [http://dx.doi.org/10.1289/ehp.1307703]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| spellingShingle | DRNTU::Social sciences::Geography::Environmental sciences Tasian, Gregory Edward Pulido, Jose E. Gasparrini, Antonio Saigal, Christopher S. Horton, Benjamin P. Landis, J. Richard Madison, Rodger Keren, Ron Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title | Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title_full | Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title_fullStr | Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title_full_unstemmed | Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title_short | Daily mean temperature and clinical kidney stone presentation in five U.S. metropolitan areas : a time-series analysis |
| title_sort | daily mean temperature and clinical kidney stone presentation in five u s metropolitan areas a time series analysis |
| topic | DRNTU::Social sciences::Geography::Environmental sciences |
| url | https://hdl.handle.net/10356/106973 http://hdl.handle.net/10220/25540 |
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