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Tekin A, Qamar S, Bansal V, Surani S, Singh R, Sharma M, LeMahieu AM, Hanson AC, Schulte PJ, Bogojevic M, Deo N, Sanghavi DK, Cartin-Ceba R, Jain NK, Christie AB, Sili U, Anderson HL, Denson JL, Khanna AK, Zabolotskikh IB, La Nou AT, Akhter M, Mohan SK, Dodd KW, Retford L, Boman K, Kumar VK, Walkey AJ, Gajic O, Domecq JP, Kashyap R. The Association of Latitude and Altitude with COVID-19 Symptoms: A VIRUS: COVID-19 Registry Analysis. Open Respir Med J 2022. [PMID: 37273949 DOI: 10.2174/18743064-v16-e2207130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background:
Better delineation of COVID-19 presentations in different climatological conditions might assist with prompt diagnosis and isolation of patients.
Objectives:
To study the association of latitude and altitude with COVID-19 symptomatology.
Methods:
This observational cohort study included 12267 adult COVID-19 patients hospitalized between 03/2020 and 01/2021 at 181 hospitals in 24 countries within the SCCM Discovery VIRUS: COVID-19 Registry. The outcome was symptoms at admission, categorized as respiratory, gastrointestinal, neurological, mucocutaneous, cardiovascular, and constitutional. Other symptoms were grouped as atypical. Multivariable regression modeling was performed, adjusting for baseline characteristics. Models were fitted using generalized estimating equations to account for the clustering.
Results:
The median age was 62 years, with 57% males. The median age and percentage of patients with comorbidities increased with higher latitude. Conversely, patients with comorbidities decreased with elevated altitudes. The most common symptoms were respiratory (80%), followed by constitutional (75%). Presentation with respiratory symptoms was not associated with the location. After adjustment, at lower latitudes (<30º), patients presented less commonly with gastrointestinal symptoms (p<.001, odds ratios for 15º, 25º, and 30º: 0.32, 0.81, and 0.98, respectively). Atypical symptoms were present in 21% of the patients and showed an association with altitude (p=.026, odds ratios for 75, 125, 400, and 600 meters above sea level: 0.44, 0.60, 0.84, and 0.77, respectively).
Conclusions:
We observed geographic variability in symptoms of COVID-19 patients. Respiratory symptoms were most common but were not associated with the location. Gastrointestinal symptoms were less frequent in lower latitudes. Atypical symptoms were associated with higher altitude.
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Tekin A, Qamar S, Singh R, Bansal V, Sharma M, LeMahieu AM, Hanson AC, Schulte PJ, Bogojevic M, Deo N, Zec S, Valencia Morales DJ, Belden KA, Heavner SF, Kaufman M, Cheruku S, Danesh VC, Banner-Goodspeed VM, St Hill CA, Christie AB, Khan SA, Retford L, Boman K, Kumar VK, O'Horo JC, Domecq JP, Walkey AJ, Gajic O, Kashyap R, Surani S. Association of latitude and altitude with adverse outcomes in patients with COVID-19: The VIRUS registry. World J Crit Care Med 2022; 11:102-111. [PMID: 35433315 PMCID: PMC8968480 DOI: 10.5492/wjccm.v11.i2.102] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/21/2021] [Accepted: 02/23/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) course may be affected by environmental factors. Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates. However, individual-level impact of these factors has not been thoroughly evaluated yet.
AIM To study the association of climatological factors related to patient location with unfavorable outcomes in patients.
METHODS In this observational analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: COVID-19 Registry cohort, the latitudes and altitudes of hospitals were examined as a covariate for mortality within 28 d of admission and the length of hospital stay. Adjusting for baseline parameters and admission date, multivariable regression modeling was utilized. Generalized estimating equations were used to fit the models.
RESULTS Twenty-two thousand one hundred eight patients from over 20 countries were evaluated. The median age was 62 (interquartile range: 49-74) years, and 54% of the included patients were males. The median age increased with increasing latitude as well as the frequency of comorbidities. Contrarily, the percentage of comorbidities was lower in elevated altitudes. Mortality within 28 d of hospital admission was found to be 25%. The median hospital-free days among all included patients was 20 d. Despite the significant linear relationship between mortality and hospital-free days (adjusted odds ratio (aOR) = 1.39 (1.04, 1.86), P = 0.025 for mortality within 28 d of admission; aOR = -1.47 (-2.60, -0.33), P = 0.011 for hospital-free days), suggesting that adverse patient outcomes were more common in locations further away from the Equator; the results were no longer significant when adjusted for baseline differences (aOR = 1.32 (1.00, 1.74), P = 0.051 for 28-day mortality; aOR = -1.07 (-2.13, -0.01), P = 0.050 for hospital-free days). When we looked at the altitude’s effect, we discovered that it demonstrated a non-linear association with mortality within 28 d of hospital admission (aOR = 0.96 (0.62, 1.47), 1.04 (0.92, 1.19), 0.49 (0.22, 0.90), and 0.51 (0.27, 0.98), for the altitude points of 75 MASL, 125 MASL, 400 MASL, and 600 MASL, in comparison to the reference altitude of 148 m.a.s.l, respectively. P = 0.001). We detected an association between latitude and 28-day mortality as well as hospital-free days in this worldwide study. When the baseline features were taken into account, however, this did not stay significant.
CONCLUSION Our findings suggest that differences observed in previous epidemiological studies may be due to ecological fallacy rather than implying a causal relationship at the patient level.
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Affiliation(s)
- Aysun Tekin
- Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Shahraz Qamar
- Post-baccalaureate Research Education Program, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, United States
| | - Romil Singh
- Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Vikas Bansal
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | - Mayank Sharma
- Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Allison M LeMahieu
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, United States
| | - Andrew C Hanson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, United States
| | - Phillip J Schulte
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, United States
| | - Marija Bogojevic
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | - Neha Deo
- Alix School of Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | - Simon Zec
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | | | - Katherine A Belden
- Division of Infectious Diseases, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | | | | | - Sreekanth Cheruku
- Divisions of Cardiothoracic Anesthesiology and Critical Care Medicine, Department of Anesthesiology and Pain Management, UT Southwestern Medical Center, Dallas, TX 75390, United States
| | - Valerie C Danesh
- Center for Applied Health Research, Baylor Scott and White Health, Dallas, TX 75246, United States
| | - Valerie M Banner-Goodspeed
- Department of Anesthesiology, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, United States
| | | | - Amy B Christie
- Department of Critical Care, Atrium Health Navicent, Macon, GA 31201, United States
| | - Syed A Khan
- Division of Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| | - Lynn Retford
- Society of Critical Care Medicine, Mount Prospect, IL 60056, United States
| | - Karen Boman
- Society of Critical Care Medicine, Mount Prospect, IL 60056, United States
| | - Vishakha K Kumar
- Society of Critical Care Medicine, Mount Prospect, IL 60056, United States
| | - John C O'Horo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, United States
| | - Juan Pablo Domecq
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | - Allan J Walkey
- Pulmonary Center, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Evans Center of Implementation and Improvement Sciences, Boston University School of Medicine, Boston, MA 02118, United States
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, United States
| | - Rahul Kashyap
- Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Salim Surani
- Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
- Department of Pulmonary and Critical Care Medicine, Texas A&M University, Bryan, TX 77807, United States
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Bjornstad EC, Cutter G, Guru P, Menon S, Aldana I, House S, M Tofil N, St Hill CA, Tarabichi Y, Banner-Goodspeed VM, Christie AB, Mohan SK, Sanghavi D, Mosier JM, Vadgaonkar G, Walkey AJ, Kashyap R, Kumar VK, Bansal V, Boman K, Sharma M, Bogojevic M, Deo N, Retford L, Gajic O, Gist KM. SARS-CoV-2 infection increases risk of acute kidney injury in a bimodal age distribution. BMC Nephrol 2022; 23:63. [PMID: 35144572 PMCID: PMC8831033 DOI: 10.1186/s12882-022-02681-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 01/18/2022] [Indexed: 01/08/2023] Open
Abstract
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.
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Affiliation(s)
- Erica C Bjornstad
- Department of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA.
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Shina Menon
- Seattle Children's Hospital, Seattle, WA, USA
| | - Isabella Aldana
- Department of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA
| | - Scott House
- Department of Pediatrics, Division of Nephrology, University of Alabama at Birmingham, 1600 7th Avenue South, Lowder Suite 516, Birmingham, AL, 35233, USA
| | - Nancy M Tofil
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Catherine A St Hill
- Allina Health (Abbott Northwestern Hospital, United Hospital, Mercy Hospital), Minneapolis, MN, USA
| | | | | | | | | | | | - Jarrod M Mosier
- University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
| | | | | | | | | | | | - Karen Boman
- Society of Critical Care Medicine, Mount Prospect, IL, USA
| | | | | | | | - Lynn Retford
- Society of Critical Care Medicine, Mount Prospect, IL, USA
| | | | - Katja M Gist
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Tripathi S, Sayed IA, Dapul H, McGarvey JS, Bandy JA, Boman K, Kumar VK, Bansal V, Retford L, Cheruku S, Kaufman M, Heavner SF, Danesh VC, St Hill CA, Khanna AK, Bhalala U, Kashyap R, Gajic O, Walkey AJ, Gist KM. Risk Factors for Critical Coronavirus Disease 2019 and Mortality in Hospitalized Young Adults: An Analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) Coronavirus Disease 2019 Registry. Crit Care Explor 2021; 3:e0514. [PMID: 34476401 PMCID: PMC8382320 DOI: 10.1097/cce.0000000000000514] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
IMPORTANCE Even with its proclivity for older age, coronavirus disease 2019 has been shown to affect all age groups. However, there remains a lack of research focused primarily on the young adult population. OBJECTIVES To describe the epidemiology and outcomes of coronavirus disease 2019 and identify the risk factors associated with critical illness and mortality in hospitalized young adults. DESIGN SETTINGS AND PARTICIPANTS A retrospective cohort study of the Society of Critical Care Medicine's Viral Infection and Respiratory Illness Universal Study registry. Patients 18-40 years old, hospitalized from coronavirus disease 2019 from March 2020 to April 2021, were included in the analysis. MAIN OUTCOMES AND MEASURES Critical illness was defined as a composite of mortality and 21 predefined interventions and complications. Multivariable logistic regression was used to assess associations with critical illness and mortality. RESULTS Data from 4,005 patients (152 centers, 19 countries, 18.6% non-U.S. patients) were analyzed. The median age was 32 years (interquartile range, 27-37 yr); 51% were female, 29.4% Hispanic, and 42.9% had obesity. Most patients (63.2%) had comorbidities, the most common being hypertension (14.5%) and diabetes (13.7%). Hospital and ICU mortality were 3.2% (129/4,005) and 8.3% (109/1,313), respectively. Critical illness occurred in 25% (n = 996), and 34.3% (n = 1,376) were admitted to the ICU. Older age (p = 0.03), male sex (adjusted odds ratio, 1.83 [95% CI, 1.2-2.6]), and obesity (adjusted odds ratio, 1.6 [95% CI, 1.1-2.4]) were associated with hospital mortality. In addition to the above factors, the presence of any comorbidity was associated with critical illness from coronavirus disease 2019. Multiple sensitivity analyses, including analysis with U.S. patients only and patients admitted to high-volume sites, showed similar risk factors. CONCLUSIONS Among hospitalized young adults, obese males with comorbidities are at higher risk of developing critical illness or dying from coronavirus disease 2019.
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Affiliation(s)
- Sandeep Tripathi
- Department of Pediatrics, OSF Saint Francis Medical Centre/University of Illinois College of Medicine, Peoria, IL
| | - Imran A Sayed
- University of Colorado Anschutz Medical Campus, Department of Pediatrics, Children's Hospital Colorado, Aurora, CO
| | - Heda Dapul
- Department of Pediatrics, Hassenfeld Children's Hospital at NYU Langone/NYU Grossman School of Medicine, New York, NY
| | | | - Jennifer A Bandy
- Clinical Research, OSF HealthCare Saint Francis Medical Center, Peoria, IL
| | - Karen Boman
- Society of Critical Care Medicine, Mount Prospect, IL
| | | | | | | | - Sreekanth Cheruku
- Clements University Hospital at UT Southwestern Medical Center, Dallas, TX
| | | | | | | | | | - Ashish K Khanna
- Wake Forest University School of Medicine, Winston-Salem, NC
- Outcomes Research Consortium, Cleveland, OH
| | - Utpal Bhalala
- The Children's Hospital of San Antonio, San Antonio and Baylor College of Medicine, Houston, TX
| | | | | | - Allan J Walkey
- The Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Katja M Gist
- University of Colorado Anschutz Medical Campus, Department of Pediatrics, Children's Hospital Colorado, Aurora, CO
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5
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Tripathi S, Gist KM, Bjornstad EC, Kashyap R, Boman K, Chiotos K, Gharpure VP, Dapul H, Sayed IA, Kuehne J, Heneghan JA, Gupta M, Khandhar PB, Menon S, Gupta N, Kumar VK, Retford L, Zimmerman J, Bhalala US. Coronavirus Disease 2019-Associated PICU Admissions: A Report From the Society of Critical Care Medicine Discovery Network Viral Infection and Respiratory Illness Universal Study Registry. Pediatr Crit Care Med 2021; 22:603-615. [PMID: 33965987 PMCID: PMC8240492 DOI: 10.1097/pcc.0000000000002760] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To compare clinical characteristics and outcomes of children admitted to the PICU for severe acute respiratory syndrome coronavirus 2-related illness with or without multisystem inflammatory syndrome in children. The secondary objective was to identify explanatory factors associated with outcome of critical illness defined by a composite index of in-hospital mortality and organ system support requirement. DESIGN Retrospective cohort study. SETTING Thirty-eight PICUs within the Viral Infection and Respiratory Illness Universal Study registry from March 2020 to January 2021. PATIENTS Children less than 18 years with severe acute respiratory syndrome coronavirus 2-related illness with or without multisystem inflammatory syndrome in children. MEASUREMENTS AND MAIN RESULTS Of 394 patients, 171 (43.4%) had multisystem inflammatory syndrome in children. Children with multisystem inflammatory syndrome in children were more likely younger (2-12 yr vs adolescents; p < 0.01), Black (35.6% vs 21.9%; p < 0.01), present with fever/abdominal pain than cough/dyspnea (p < 0.01), and less likely to have comorbidities (33.3% vs 61.9%; p < 0.01) compared with those without multisystem inflammatory syndrome in children. Inflammatory marker levels, use of inotropes/vasopressors, corticosteroids, and anticoagulants were higher in multisystem inflammatory syndrome in children patients (p < 0.01). Overall mortality was 3.8% (15/394), with no difference in the two groups. Diagnosis of multisystem inflammatory syndrome in children was associated with longer duration of hospitalization as compared to nonmultisystem inflammatory syndrome in children (7.5 d[interquartile range, 5-11] vs 5.3 d [interquartile range, 3-11 d]; p < 0.01). Critical illness occurred in 164 patients (41.6%) and was more common in patients with multisystem inflammatory syndrome in children compared with those without (55.6% vs 30.9%; p < 0.01). Multivariable analysis failed to show an association between critical illness and age, race, sex, greater than or equal to three signs and symptoms, or greater than or equal to two comorbidities among the multisystem inflammatory syndrome in children cohort. Among nonmultisystem inflammatory syndrome in children patients, the presence of greater than or equal to two comorbidities was associated with greater odds of critical illness (odds ratio 2.95 [95% CI, 1.61-5.40]; p < 0.01). CONCLUSIONS This study delineates significant clinically relevant differences in presentation, explanatory factors, and outcomes among children admitted to PICU with severe acute respiratory syndrome coronavirus 2-related illness stratified by multisystem inflammatory syndrome in children.
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Affiliation(s)
- Sandeep Tripathi
- Division of Pediatric Critical Care, Department of Pediatrics, Children's Hospital of Illinois, OSF St Francis Medical Centre at Peoria, Peoria, IL
| | - Katja M Gist
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Children's Hospital Colorado, Aurora, CO
| | - Erica C Bjornstad
- Division of Pediatric Nephrology, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL
| | - Rahul Kashyap
- Department of Anesthesia and Critical Care, Mayo Clinic, Rochester, MN
| | - Karen Boman
- Society of Critical Care Medicine, Mount Prospect, IL
| | - Kathleen Chiotos
- Division of Pediatric Critical Care, Department of Anesthesia and Critical Care, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Varsha P Gharpure
- Division of Pediatric Critical Care. Department of Pediatrics, Advocate Children's Hospital, Park Ridge, IL
| | - Heda Dapul
- Division of Pediatric Critical Care, Department of Pediatrics. Hassenfield Children's Hospital at NYU Langone, New York, NY
| | - Imran A Sayed
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Children's Hospital Colorado, Aurora, CO
| | | | - Julia A Heneghan
- Division of Pediatric Critical Care, Department of Pediatrics, University of Minnesota Masonic Children's Hospital, Minneapolis, MN
| | - Manoj Gupta
- Division of Pediatric Cardiology, Department of Pediatrics. Lincoln Medical and Mental Health Center, Lincoln Hospital, Bronx, NY
| | - Paras B Khandhar
- Division of Pediatric Critical Care, Department of Pediatrics, Beaumont Children's Hospital, Royal Oak, MI
| | - Shina Menon
- Division of Pediatric Nephrology, Department of Pediatrics. Seattle Children's Hospital/University of Washington, Seattle Children's Hospital, Seattle, WA
| | - Neha Gupta
- Division of Pediatric Critical Care, Department of Pediatrics, University of Oklahoma College of Medicine, Oklahoma City, OK
| | | | - Lynn Retford
- Society of Critical Care Medicine, Mount Prospect, IL
| | - Jerry Zimmerman
- Division of Pediatric Nephrology, Department of Pediatrics. Seattle Children's Hospital/University of Washington, Seattle Children's Hospital, Seattle, WA
| | - Utpal S Bhalala
- Division of Pediatric Critical Care, Department of Pediatrics, The Children's Hospital of San Antonio, San Antonio and Baylor College of Medicine, Houston, TX
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