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      Association of Extreme Heat Events With Hospital Admission or Mortality Among Patients With End-Stage Renal Disease

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          Abstract

          This study examines the association of extreme heat events in 3 northeastern US cities with hospital admission and mortality among patients with end-stage renal disease (ESRD).

          Key Points

          Question

          Are extreme heat events (EHEs) associated with increased risk of hospital admission and mortality among patients with end-stage renal disease (ESRD), and does this risk differ by race/ethnicity or preexisting comorbidities?

          Finding

          In this time-stratified case-crossover study of 7445 patients with ESRD, EHEs were associated with increased risk of same-day hospitalization and of same-day mortality among patients with ESRD. After stratifying by preexisting comorbidities, cumulative lag exposure to EHEs was associated with increased risk of mortality among patients with ESRD living with congestive heart failure, chronic obstructive pulmonary disease, or diabetes.

          Meaning

          Management guidelines for ESRD need to take EHEs into consideration, given the increasing frequency of EHEs that are expected with ongoing climate change.

          Abstract

          Importance

          Extreme heat events (EHEs) are increasing in frequency, duration, and intensity, and this trend is projected to continue as part of ongoing climate change. There is a paucity of data regarding how EHEs may affect highly vulnerable populations, such as patients with end-stage renal disease (ESRD). Such data are needed to inform ESRD patient management guidelines in a changing climate.

          Objectives

          To investigate the association between EHEs and the risk of hospital admission or mortality among patients with ESRD and further characterize how this risk may vary among races/ethnicities or patients with preexisting comorbidities.

          Design, Setting, and Participants

          This study used hospital admission and mortality records of patients with ESRD who underwent hemodialysis treatment at Fresenius Kidney Care clinics in Boston, Massachusetts; Philadelphia, Pennsylvania; or New York, New York, from January 1, 2001, to December 31, 2012. Data were analyzed using a time-stratified case-crossover design with conditional Poisson regression to investigate associations between EHEs and risk of hospital admission or mortality among patients with ESRD. Data were analyzed from July 1, 2017, to March 31, 2019.

          Exposures

          Calendar day– and location-specific 95th-percentile maximum temperature thresholds were calculated using daily meteorological data from 1960 to 1989. These thresholds were used to identify EHEs in each of the 3 cities during the study.

          Main Outcomes and Measures

          Daily all-cause hospital admission and all-cause mortality among patients with ESRD.

          Results

          The study included 7445 patients with ESRD (mean [SD] age, 61.1 [14.1] years; 4283 [57.5%] men), among whom 2953 deaths (39.7%) and 44 941 hospital admissions (mean [SD], 6.0 [7.5] per patient) were recorded. Extreme heat events were associated with increased risk of same-day hospital admission (rate ratio [RR], 1.27; 95% CI, 1.13-1.43) and same-day mortality (RR, 1.31; 95% CI, 1.01-1.70) among patients with ESRD. There was some heterogeneity in risk, with patients in Boston showing statistically significant increased risk for hospital admission (RR, 1.15; 95% CI, 1.00-1.31) and mortality (RR, 1.45; 95% CI, 1.04-2.02) associated with cumulative exposure to EHEs, while such risk was absent among patients with ESRD in Philadelphia. While increases in risks were similar among non-Hispanic black and non-Hispanic white patients, findings among Hispanic and Asian patients were less clear. After stratifying by preexisting comorbidities, cumulative lag exposure to EHEs was associated with increased risk of mortality among patients with ESRD living with congestive heart failure (RR, 1.55; 95% CI, 1.27-1.89), chronic obstructive pulmonary disease (RR, 1.60; 95% CI, 1.24-2.06), or diabetes (RR, 1.83; 95% CI, 1.51-2.21).

          Conclusions and Relevance

          In this study, extreme heat events were associated with increased risk of hospital admission or mortality among patients with ESRD, and the association was potentially affected by geographic region and race/ethnicity. Future studies with larger populations and broader geographic coverage are needed to better characterize this variability in risk and inform ESRD management guidelines and differential risk variables, given the projected increases in the frequency, duration, and intensity of EHEs.

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          Most cited references51

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            On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals

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              Case-crossover analyses of air pollution exposure data: referent selection strategies and their implications for bias.

              The case-crossover design has been widely used to study the association between short-term air pollution exposure and the risk of an acute adverse health event. The design uses cases only; for each individual case, exposure just before the event is compared with exposure at other control (or "referent") times. Time-invariant confounders are controlled by making within-subject comparisons. Even more important in the air pollution setting is that time-varying confounders can also be controlled by design by matching referents to the index time. The referent selection strategy is important for reasons in addition to control of confounding. The case-crossover design makes the implicit assumption that there is no trend in exposure across the referent times. In addition, the statistical method that is used-conditional logistic regression-is unbiased only with certain referent strategies. We review here the case-crossover literature in the air pollution context, focusing on key issues regarding referent selection. We conclude with a set of recommendations for choosing a referent strategy with air pollution exposure data. Specifically, we advocate the time-stratified approach to referent selection because it ensures unbiased conditional logistic regression estimates, avoids bias resulting from time trend in the exposure series, and can be tailored to match on specific time-varying confounders.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                9 August 2019
                August 2019
                9 August 2019
                : 2
                : 8
                : e198904
                Affiliations
                [1 ]Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park
                [2 ]Research Division, Renal Research Institute, New York, New York
                [3 ]Icahn School of Medicine, Mount Sinai Hospital, New York, New York
                [4 ]School of Public Health, Boston University, Boston, Massachusetts
                Author notes
                Article Information
                Accepted for Publication: June 19, 2019.
                Published: August 9, 2019. doi:10.1001/jamanetworkopen.2019.8904
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Remigio RV et al. JAMA Network Open.
                Corresponding Author: Amir Sapkota, PhD, Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, Room 2234F, SPH Building, College Park, MD 20742 ( amirsap@ 123456umd.edu ).
                Author Contributions: Mr Remigio had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Remigio, Raimann, Kotanko, Maddux, Kinney, Sapkota.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Remigio, Kotanko, Kinney, Sapkota.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Remigio, Jiang, Raimann, Kotanko, Sapkota.
                Obtained funding: Sapkota.
                Administrative, technical, or material support: Remigio, Raimann, Kotanko, Usvyat, Maddux, Kinney, Sapkota.
                Supervision: Jiang, Kotanko, Maddux, Kinney, Sapkota.
                Conflict of Interest Disclosures: Dr Raimann reported being an employee of the Renal Research Institute (a wholly owned subsidiary of Fresenius Medical Care [FMC]) and owning stock in FMC. Dr Kotanko reported receiving honoraria from UpToDate, being an employee of the Renal Research Institute, and owning stock in FMC. Drs Usvyat and Maddux reported owning stock in and being employed by FMC. No other disclosures were reported.
                Funding/Support: Mr Remigio was supported by a University of Maryland Global STEM Training at the Nexus of Energy, Water Reuse and Food Systems fellowship funded by the National Science Foundation National Research Traineeship Program, awarded to the University of Maryland School of Public Health.
                Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: Alice Topping, MPH (Fresenius Medical Care), extracted the requested data from Fresenius Kidney Care electronic health records database and did not receive additional compensation for the work.
                Article
                zoi190353
                10.1001/jamanetworkopen.2019.8904
                6692691
                31397862
                b3f7465c-da88-4d1b-ae73-df40cf5df576
                Copyright 2019 Remigio RV et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 1 April 2019
                : 19 June 2019
                Funding
                Funded by: National Science Foundation National Research Traineeship Program
                Categories
                Research
                Original Investigation
                Featured
                Online Only
                Nephrology

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