TY - JOUR
T1 - SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution
AU - SCCM Discovery VIRUS Investigators Group
AU - Bjornstad, Erica C.
AU - Cutter, Gary
AU - Guru, Pramod
AU - Menon, Shina
AU - Aldana, Isabella
AU - House, Scott
AU - M. Tofil, Nancy
AU - St. Hill, Catherine A.
AU - Tarabichi, Yasir
AU - Banner-Goodspeed, Valerie M.
AU - Christie, Amy B.
AU - Mohan, Surapaneni Krishna
AU - Sanghavi, Devang
AU - Mosier, Jarrod M.
AU - Vadgaonkar, Girish
AU - Walkey, Allan J.
AU - Kashyap, Rahul
AU - Kumar, Vishakha K.
AU - Bansal, Vikas
AU - Boman, Karen
AU - Sharma, Mayank
AU - Bogojevic, Marija
AU - Deo, Neha
AU - Retford, Lynn
AU - Gajic, Ognjen
AU - Gist, Katja M.
AU - Mesland, Jean Baptiste
AU - Henin, Pierre
AU - Petre, Hélène
AU - Buelens, Isabelle
AU - Gerard, Anne Catherine
AU - Clevenbergh, Philippe
AU - Granado, Rolando Claure Del
AU - Mercado, Jose A.
AU - Vega-Terrazas, Esdenka
AU - Iturricha-Caceres, Maria F.
AU - Markotic, Dragana
AU - Bošnjak, Ivana
AU - Gavidia, Oscar Y.
AU - Pachon, Felipe
AU - Sanchez, Yeimy A.
AU - Kneževic, Danijel
AU - Kovacevic, Tanja
AU - Markic, Josko
AU - Ardalic, Tatjana Catipovic
AU - Polic, Branka
AU - Ivic, Ivo
AU - Carev, Dominko
AU - Glavinic, Robert
AU - El Kassas, Mohamed
AU - Badr, Mohamed
AU - Tawheed, Ahmed
AU - Yahia, Hend
AU - Kantas, Dimitrios
AU - Koulouras, Vasileios
AU - Sierra-Hoffman,
AU - Valerio, Fernando
AU - Diaz, Oscar
AU - Coello, Jose Luis Ramos
AU - Perez, Guillermo
AU - Lizardo, Ana Karen Vallecillo
AU - Guillen, Gabina María Reyes
AU - Soto, Helin Archaga
AU - Kopitkó, Csaba
AU - Bencze, Ágnes
AU - Méhész, István
AU - Gerendai, Zsófia
AU - Doddaga, Phaneendra
AU - Chandra, Neethi
AU - Ediga, Rekha
AU - Basety, Shilpa
AU - Dammareddy, Shwetha
AU - Kasumalla, Phani Sreeharsha
AU - Raju, Umamaheswara
AU - Manduva, Janaki
AU - Kolakani, Naresh
AU - Sripathi, Shreeja
AU - Chaitanya, Sheetal
AU - Cherian, Anusha
AU - Parameswaran, Sreejith
AU - Parthiban, Magesh
AU - Menu Priya, A.
AU - Basavaraja, Chetak
AU - Prabhu, Madhav
AU - Jakati, Vishal
AU - Rijhwani, Puneet
AU - Jain, Ashish
AU - Gupta, Aviral
AU - Jaiswal, Ram Mohan
AU - Tyagi, Ambika
AU - Mathur, Nimish
AU - Daga, Mradul Kumar
AU - Agarwal, Munisha
AU - Rohtagi, Ishan
AU - Papani, Sridhar
AU - Kamuram, Mahesh
AU - Agrawal, Kamlesh Kumar
AU - Baghel, Vijendra
AU - Patel, Kirti Kumar
AU - Jyothisree, Ekambaram
AU - Petrolwala, Mukur
AU - Ladva, Bharat
AU - Itagaki, Yuki
AU - Kodate, Akira
AU - Suzuki, Reina
AU - Takahashi, Yuki
AU - Moriki, Koyo
AU - Kyo, Michihito
AU - Shigemitsu, Hidenobu
AU - Mishima, Yuka
AU - Nosaka, Nobuyuki
AU - Nagashima, Michio
AU - Al-Fares, Abdulrahman
AU - Rodriguez-Gutierrez, Rene
AU - Gonzalez-Gonzalez, Jose Gerardo
AU - Salcido-Montenegro, Alejandro
AU - Camacho-Ortiz, Adrian
AU - Hassan-Hanga, Fatimah
AU - Galadanci, Hadiza
AU - Gezawa, Abubakar Shehu
AU - Kabara, Halima M.S.
AU - Amole, Taiwo Gboluwaga
AU - Kabir, Halima
AU - Haliru, Dalha Gwarzo
AU - Ibrahim, Abdullahi S.
AU - Asghar, Muhammad Sohaib
AU - Syed, Mashaal
AU - Naqvi, Syed Anosh Ali
AU - Ishaque, Sidra
AU - Saleem, Ali Faisal
AU - Siddiqui, Naveed Ur Rehman
AU - Sherali, Salima
AU - Hashwani, Yasmin
AU - Ishaque, Shafia
AU - Zabolotskikh, Igor Borisovich
AU - Zybin, Konstantin Dmitrievich
AU - Sinkov, Sergey Vasilevich
AU - Musaeva, Tatiana Sergeevna
AU - Amer, Marwa Ridha
AU - Bawazeer, Mohammed Abdullah
AU - Dahhan, Talal I.
AU - Kseibi, Eiad
AU - Butt, Abid Shahzad
AU - Khurshid, Syed Moazzum
AU - Rabee, Muath
AU - Abujazar, Mohammed
AU - Alghunaim, Razan
AU - Abualkhair, Maal
AU - AlFirm, Abeer Turki
AU - Alamoudi, Razan K.
AU - AlSharif, Hassan M.
AU - Almazwaghi, Sarah A.
AU - Elsakran, Mohammed S.
AU - Aid, Mohamed A.
AU - Darwich, Mouaz A.
AU - Hagag, Omnia M.
AU - Ali, Salah A.
AU - Rocacorba, Alona
AU - Supeña, Kathrine
AU - Juane, Efren Ray
AU - Medina, Jenalyn
AU - Baduria, Jowany
AU - Almazyad, Mohammed A.
AU - Alarifi, Mohammed I.
AU - Macarambon, Jara M.
AU - Bukhari, Ahmad Abdullah
AU - Albahrani, Hussain A.
AU - Asfina, Kazi N.
AU - Aldossary, Kaltham M.
AU - Andrijevic, Ana
AU - Gavrilovic, Srdjan
AU - Carapic, Vladimir
AU - Kovacevic, Pedja
AU - Stevanovic, Predrag D.
AU - Stojakov, Dejan S.
AU - Ignjatovic, Duska K.
AU - Bojic, Suzana C.
AU - Bobos, Marina M.
AU - Nenadic, Irina B.
AU - Zaric, Milica S.
AU - Djuric, Marko D.
AU - Djukic, Vladimir R.
AU - Teruel, Santiago Y.
AU - Martin, Belen C.
AU - Gharpure, Varsha P.
AU - Raheemi, Usman
AU - Dodd, Kenneth W.
AU - Goodmanson, Nicholas
AU - Hesse, Kathleen
AU - Bird, Paige
AU - Weinert, Chauncey
AU - Schoenrade, Nathan
AU - Altaher, Abdulrahman
AU - Mayar, Esmael
AU - Aronson, Matthew
AU - Cooper, Tyler
AU - Logan, Monica
AU - Lyons, Patrick G.
AU - Michelson, Andrew P.
AU - Nguyen, Nguyet M.
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - AKI
KW - Age-spectrum
KW - COVID-19
KW - Hospitalization
UR - http://www.scopus.com/inward/record.url?scp=85124499795&partnerID=8YFLogxK
U2 - 10.1186/s12882-022-02681-2
DO - 10.1186/s12882-022-02681-2
M3 - Article
C2 - 35144572
AN - SCOPUS:85124499795
SN - 1471-2369
VL - 23
JO - BMC Nephrology
JF - BMC Nephrology
IS - 1
M1 - 63
ER -