Cargando…

SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution

BACKGROUND: Hospitalized patients with SARS-CoV2 develop acute kidney injury (AKI) frequently, yet gaps remain in understanding why adults seem to have higher rates compared to children. Our objectives were to evaluate the epidemiology of SARS-CoV2-related AKI across the age spectrum and determine i...

Descripción completa

Detalles Bibliográficos
Autores principales: Bjornstad, Erica C., Cutter, Gary, Guru, Pramod, Menon, Shina, Aldana, Isabella, House, Scott, M. Tofil, Nancy, St. Hill, Catherine A., Tarabichi, Yasir, Banner-Goodspeed, Valerie M., Christie, Amy B., Mohan, Surapaneni Krishna, Sanghavi, Devang, Mosier, Jarrod M., Vadgaonkar, Girish, Walkey, Allan J., Kashyap, Rahul, Kumar, Vishakha K., Bansal, Vikas, Boman, Karen, Sharma, Mayank, Bogojevic, Marija, Deo, Neha, Retford, Lynn, Gajic, Ognjen, Gist, Katja M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831033/
https://www.ncbi.nlm.nih.gov/pubmed/35144572
http://dx.doi.org/10.1186/s12882-022-02681-2
_version_ 1784648408752979968
author Bjornstad, Erica C.
Cutter, Gary
Guru, Pramod
Menon, Shina
Aldana, Isabella
House, Scott
M. Tofil, Nancy
St. Hill, Catherine A.
Tarabichi, Yasir
Banner-Goodspeed, Valerie M.
Christie, Amy B.
Mohan, Surapaneni Krishna
Sanghavi, Devang
Mosier, Jarrod M.
Vadgaonkar, Girish
Walkey, Allan J.
Kashyap, Rahul
Kumar, Vishakha K.
Bansal, Vikas
Boman, Karen
Sharma, Mayank
Bogojevic, Marija
Deo, Neha
Retford, Lynn
Gajic, Ognjen
Gist, Katja M.
author_facet Bjornstad, Erica C.
Cutter, Gary
Guru, Pramod
Menon, Shina
Aldana, Isabella
House, Scott
M. Tofil, Nancy
St. Hill, Catherine A.
Tarabichi, Yasir
Banner-Goodspeed, Valerie M.
Christie, Amy B.
Mohan, Surapaneni Krishna
Sanghavi, Devang
Mosier, Jarrod M.
Vadgaonkar, Girish
Walkey, Allan J.
Kashyap, Rahul
Kumar, Vishakha K.
Bansal, Vikas
Boman, Karen
Sharma, Mayank
Bogojevic, Marija
Deo, Neha
Retford, Lynn
Gajic, Ognjen
Gist, Katja M.
author_sort Bjornstad, Erica C.
collection PubMed
description BACKGROUND: Hospitalized patients with SARS-CoV2 develop acute kidney injury (AKI) frequently, yet gaps remain in understanding why adults seem to have higher rates compared to children. Our objectives were to evaluate the epidemiology of SARS-CoV2-related AKI across the age spectrum and determine if known risk factors such as illness severity contribute to its pattern. METHODS: Secondary analysis of ongoing prospective international cohort registry. AKI was defined by KDIGO-creatinine only criteria. Log-linear, logistic and generalized estimating equations assessed odds ratios (OR), risk differences (RD), and 95% confidence intervals (CIs) for AKI and mortality adjusting for sex, pre-existing comorbidities, race/ethnicity, illness severity, and clustering within centers. Sensitivity analyses assessed different baseline creatinine estimators. RESULTS: Overall, among 6874 hospitalized patients, 39.6% (n = 2719) developed AKI. There was a bimodal distribution of AKI by age with peaks in older age (≥60 years) and middle childhood (5–15 years), which persisted despite controlling for illness severity, pre-existing comorbidities, or different baseline creatinine estimators. For example, the adjusted OR of developing AKI among hospitalized patients with SARS-CoV2 was 2.74 (95% CI 1.66–4.56) for 10–15-year-olds compared to 30–35-year-olds and similarly was 2.31 (95% CI 1.71–3.12) for 70–75-year-olds, while adjusted OR dropped to 1.39 (95% CI 0.97–2.00) for 40–45-year-olds compared to 30–35-year-olds. CONCLUSIONS: SARS-CoV2-related AKI is common with a bimodal age distribution that is not fully explained by known risk factors or confounders. As the pandemic turns to disproportionately impacting younger individuals, this deserves further investigation as the presence of AKI and SARS-CoV2 infection increases hospital mortality risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02681-2.
format Online
Article
Text
id pubmed-8831033
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-88310332022-02-11 SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution Bjornstad, Erica C. Cutter, Gary Guru, Pramod Menon, Shina Aldana, Isabella House, Scott M. Tofil, Nancy St. Hill, Catherine A. Tarabichi, Yasir Banner-Goodspeed, Valerie M. Christie, Amy B. Mohan, Surapaneni Krishna Sanghavi, Devang Mosier, Jarrod M. Vadgaonkar, Girish Walkey, Allan J. Kashyap, Rahul Kumar, Vishakha K. Bansal, Vikas Boman, Karen Sharma, Mayank Bogojevic, Marija Deo, Neha Retford, Lynn Gajic, Ognjen Gist, Katja M. BMC Nephrol Research BACKGROUND: Hospitalized patients with SARS-CoV2 develop acute kidney injury (AKI) frequently, yet gaps remain in understanding why adults seem to have higher rates compared to children. Our objectives were to evaluate the epidemiology of SARS-CoV2-related AKI across the age spectrum and determine if known risk factors such as illness severity contribute to its pattern. METHODS: Secondary analysis of ongoing prospective international cohort registry. AKI was defined by KDIGO-creatinine only criteria. Log-linear, logistic and generalized estimating equations assessed odds ratios (OR), risk differences (RD), and 95% confidence intervals (CIs) for AKI and mortality adjusting for sex, pre-existing comorbidities, race/ethnicity, illness severity, and clustering within centers. Sensitivity analyses assessed different baseline creatinine estimators. RESULTS: Overall, among 6874 hospitalized patients, 39.6% (n = 2719) developed AKI. There was a bimodal distribution of AKI by age with peaks in older age (≥60 years) and middle childhood (5–15 years), which persisted despite controlling for illness severity, pre-existing comorbidities, or different baseline creatinine estimators. For example, the adjusted OR of developing AKI among hospitalized patients with SARS-CoV2 was 2.74 (95% CI 1.66–4.56) for 10–15-year-olds compared to 30–35-year-olds and similarly was 2.31 (95% CI 1.71–3.12) for 70–75-year-olds, while adjusted OR dropped to 1.39 (95% CI 0.97–2.00) for 40–45-year-olds compared to 30–35-year-olds. CONCLUSIONS: SARS-CoV2-related AKI is common with a bimodal age distribution that is not fully explained by known risk factors or confounders. As the pandemic turns to disproportionately impacting younger individuals, this deserves further investigation as the presence of AKI and SARS-CoV2 infection increases hospital mortality risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-022-02681-2. BioMed Central 2022-02-11 /pmc/articles/PMC8831033/ /pubmed/35144572 http://dx.doi.org/10.1186/s12882-022-02681-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bjornstad, Erica C.
Cutter, Gary
Guru, Pramod
Menon, Shina
Aldana, Isabella
House, Scott
M. Tofil, Nancy
St. Hill, Catherine A.
Tarabichi, Yasir
Banner-Goodspeed, Valerie M.
Christie, Amy B.
Mohan, Surapaneni Krishna
Sanghavi, Devang
Mosier, Jarrod M.
Vadgaonkar, Girish
Walkey, Allan J.
Kashyap, Rahul
Kumar, Vishakha K.
Bansal, Vikas
Boman, Karen
Sharma, Mayank
Bogojevic, Marija
Deo, Neha
Retford, Lynn
Gajic, Ognjen
Gist, Katja M.
SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title_full SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title_fullStr SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title_full_unstemmed SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title_short SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
title_sort sars-cov-2 infection increases risk of acute kidney injury in a bimodal age distribution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831033/
https://www.ncbi.nlm.nih.gov/pubmed/35144572
http://dx.doi.org/10.1186/s12882-022-02681-2
work_keys_str_mv AT bjornstadericac sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT cuttergary sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT gurupramod sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT menonshina sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT aldanaisabella sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT housescott sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT mtofilnancy sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT sthillcatherinea sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT tarabichiyasir sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT bannergoodspeedvaleriem sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT christieamyb sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT mohansurapanenikrishna sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT sanghavidevang sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT mosierjarrodm sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT vadgaonkargirish sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT walkeyallanj sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT kashyaprahul sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT kumarvishakhak sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT bansalvikas sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT bomankaren sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT sharmamayank sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT bogojevicmarija sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT deoneha sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT retfordlynn sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT gajicognjen sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT gistkatjam sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution
AT sarscov2infectionincreasesriskofacutekidneyinjuryinabimodalagedistribution