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  1. Article ; Online: COVID-19 in Patients with CKD in New York City.

    Akchurin, Oleh / Meza, Kelly / Biswas, Sharmi / Greenbaum, Michaela / Licona-Freudenstein, Alexandra P / Goyal, Parag / Choi, Justin J / Choi, Mary E

    Kidney360

    2021  Volume 2, Issue 1, Page(s) 63–70

    Abstract: ... without CKD consecutively admitted with COVID-19 to three affiliated hospitals in New York City. Pre-COVID-19 ... Results: We identified 280 patients with CKD, and 4098 patients without CKD hospitalized with COVID-19 ... pre-COVID-19) serum creatinine in patients with CKD was 1.5 (1.2-2.2) mg/dl. In-hospital mortality was ...

    Abstract Background: COVID-19 has affected millions of people, and several chronic medical conditions appear to increase the risk of severe COVID-19. However, our understanding of COVID-19 outcomes in patients with CKD remains limited.
    Methods: This was a retrospective cohort study of patients with and without CKD consecutively admitted with COVID-19 to three affiliated hospitals in New York City. Pre-COVID-19 CKD diagnoses were identified by billing codes and verified by manual chart review. In-hospital mortality was compared between patients with and without underlying CKD. Logistic regression was used to adjust this analysis for confounders and to identify patient characteristics associated with mortality.
    Results: We identified 280 patients with CKD, and 4098 patients without CKD hospitalized with COVID-19. The median age of the CKD group was 75 (65-84) years, and age of the non-CKD group 62 (48-75) years. Baseline (pre-COVID-19) serum creatinine in patients with CKD was 1.5 (1.2-2.2) mg/dl. In-hospital mortality was 30% in patients with CKD versus 20% in patients without CKD (
    Conclusions: CKD is an independent risk factor for COVID-19-associated in-hospital mortality in elderly patients. Acute-on-chronic kidney injury increases the odds of in-hospital mortality in patients with CKD hospitalized with COVID-19.
    MeSH term(s) Aged ; Aged, 80 and over ; COVID-19/epidemiology ; Hospital Mortality ; Humans ; Middle Aged ; New York City/epidemiology ; Renal Insufficiency, Chronic/complications ; Retrospective Studies ; SARS-CoV-2
    Language English
    Publishing date 2021-02-24
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ISSN 2641-7650
    ISSN (online) 2641-7650
    DOI 10.34067/KID.0004142020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: AKI in Hospitalized Patients with COVID-19.

    Chan, Lili / Chaudhary, Kumardeep / Saha, Aparna / Chauhan, Kinsuk / Vaid, Akhil / Zhao, Shan / Paranjpe, Ishan / Somani, Sulaiman / Richter, Felix / Miotto, Riccardo / Lala, Anuradha / Kia, Arash / Timsina, Prem / Li, Li / Freeman, Robert / Chen, Rong / Narula, Jagat / Just, Allan C / Horowitz, Carol /
    Fayad, Zahi / Cordon-Cardo, Carlos / Schadt, Eric / Levin, Matthew A / Reich, David L / Fuster, Valentin / Murphy, Barbara / He, John C / Charney, Alexander W / Böttinger, Erwin P / Glicksberg, Benjamin S / Coca, Steven G / Nadkarni, Girish N

    Journal of the American Society of Nephrology : JASN

    2020  Volume 32, Issue 1, Page(s) 151–160

    Abstract: ... COVID-19) and associated with worse outcomes. However, AKI among hospitalized patients with COVID-19 ... of data from electronic health records of patients aged ≥18 years with laboratory-confirmed COVID-19 ... Of 3993 hospitalized patients with COVID-19, AKI occurred in 1835 (46%) patients; 347 (19 ...

    Abstract Background: Early reports indicate that AKI is common among patients with coronavirus disease 2019 (COVID-19) and associated with worse outcomes. However, AKI among hospitalized patients with COVID-19 in the United States is not well described.
    Methods: This retrospective, observational study involved a review of data from electronic health records of patients aged ≥18 years with laboratory-confirmed COVID-19 admitted to the Mount Sinai Health System from February 27 to May 30, 2020. We describe the frequency of AKI and dialysis requirement, AKI recovery, and adjusted odds ratios (aORs) with mortality.
    Results: Of 3993 hospitalized patients with COVID-19, AKI occurred in 1835 (46%) patients; 347 (19%) of the patients with AKI required dialysis. The proportions with stages 1, 2, or 3 AKI were 39%, 19%, and 42%, respectively. A total of 976 (24%) patients were admitted to intensive care, and 745 (76%) experienced AKI. Of the 435 patients with AKI and urine studies, 84% had proteinuria, 81% had hematuria, and 60% had leukocyturia. Independent predictors of severe AKI were CKD, men, and higher serum potassium at admission. In-hospital mortality was 50% among patients with AKI versus 8% among those without AKI (aOR, 9.2; 95% confidence interval, 7.5 to 11.3). Of survivors with AKI who were discharged, 35% had not recovered to baseline kidney function by the time of discharge. An additional 28 of 77 (36%) patients who had not recovered kidney function at discharge did so on posthospital follow-up.
    Conclusions: AKI is common among patients hospitalized with COVID-19 and is associated with high mortality. Of all patients with AKI, only 30% survived with recovery of kidney function by the time of discharge.
    MeSH term(s) Acute Kidney Injury/epidemiology ; Acute Kidney Injury/etiology ; Acute Kidney Injury/therapy ; Acute Kidney Injury/urine ; Aged ; Aged, 80 and over ; COVID-19/complications ; COVID-19/mortality ; Female ; Hematuria/etiology ; Hospital Mortality ; Hospitals, Private/statistics & numerical data ; Hospitals, Urban/statistics & numerical data ; Humans ; Incidence ; Inpatients ; Leukocytes ; Male ; Middle Aged ; New York City/epidemiology ; Proteinuria/etiology ; Renal Dialysis ; Retrospective Studies ; SARS-CoV-2 ; Treatment Outcome ; Urine/cytology
    Keywords covid19
    Language English
    Publishing date 2020-09-03
    Publishing country United States
    Document type Journal Article ; Observational Study
    ZDB-ID 1085942-1
    ISSN 1533-3450 ; 1046-6673
    ISSN (online) 1533-3450
    ISSN 1046-6673
    DOI 10.1681/ASN.2020050615
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3344: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: CKD patients: A high-risk category for severe COVID-19.

    Ateya, Areej M

    Journal of medical virology

    2021  Volume 93, Issue 7, Page(s) 4086–4087

    MeSH term(s) COVID-19 ; Humans ; New York City ; Renal Insufficiency, Chronic/epidemiology ; Retrospective Studies ; Risk Factors ; SARS-CoV-2
    Language English
    Publishing date 2021-04-15
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 752392-0
    ISSN 1096-9071 ; 0146-6615
    ISSN (online) 1096-9071
    ISSN 0146-6615
    DOI 10.1002/jmv.26929
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    Zs.A 1320: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: A novel evidence-based predictor tool for hospitalization and length of stay: insights from COVID-19 patients in New York city.

    El Halabi, Maan / Feghali, James / Bahk, Jeeyune / Tallón de Lara, Paulino / Narasimhan, Bharat / Ho, Kam / Sehmbhi, Mantej / Saabiye, Joseph / Huang, Judy / Osorio, Georgina / Mathew, Joseph / Wisnivesky, Juan / Steiger, David

    Internal and emergency medicine

    2022  Volume 17, Issue 7, Page(s) 1879–1889

    Abstract: ... to the Emergency Department (ED) in a New York City health system. The study cohort consisted of consecutive adult ... of hospitalization and length of stay (LOS) in a large cohort of COVID-19-positive patients presenting ... that predict hospitalization risk in COVID-19-positive patients, which can be used to optimize ...

    Abstract Predictive models for key outcomes of coronavirus disease 2019 (COVID-19) can optimize resource utilization and patient outcome. We aimed to design and internally validate a web-based calculator predictive of hospitalization and length of stay (LOS) in a large cohort of COVID-19-positive patients presenting to the Emergency Department (ED) in a New York City health system. The study cohort consisted of consecutive adult (> 18 years) patients presenting to the ED of Mount Sinai Health System hospitals between March 2020 and April 2020, diagnosed with COVID-19. Logistic regression was utilized to construct predictive models for hospitalization and prolonged (> 3 days) LOS. Discrimination was evaluated using area under the receiver operating curve (AUC). Internal validation with bootstrapping was performed, and a web-based calculator was implemented. From 5859 patients, 65% were hospitalized. Independent predictors of hospitalization and extended LOS included older age, chronic kidney disease, elevated maximum temperature, and low minimum oxygen saturation (p < 0.001). Additional predictors of hospitalization included male sex, chronic obstructive pulmonary disease, hypertension, and diabetes. AUCs of 0.881 and 0.770 were achieved for hospitalization and LOS, respectively. Elevated levels of CRP, creatinine, and ferritin were key determinants of hospitalization and LOS (p < 0.05). A calculator was made available under the following URL: https://covid19-outcome-prediction.shinyapps.io/COVID19_Hospitalization_Calculator/ . This study yielded internally validated models that predict hospitalization risk in COVID-19-positive patients, which can be used to optimize resource allocation. Predictors of hospitalization and extended LOS included older age, CKD, fever, oxygen desaturation, elevated C-reactive protein, creatinine, and ferritin.
    MeSH term(s) Adult ; C-Reactive Protein ; COVID-19/epidemiology ; COVID-19/therapy ; Creatinine ; Ferritins ; Hospitalization ; Humans ; Length of Stay ; Male ; New York City/epidemiology ; Oxygen ; Retrospective Studies ; SARS-CoV-2
    Chemical Substances C-Reactive Protein (9007-41-4) ; Ferritins (9007-73-2) ; Creatinine (AYI8EX34EU) ; Oxygen (S88TT14065)
    Language English
    Publishing date 2022-06-30
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2454173-4
    ISSN 1970-9366 ; 1828-0447
    ISSN (online) 1970-9366
    ISSN 1828-0447
    DOI 10.1007/s11739-022-03014-9
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6673: Show issues Location:
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  5. Article: 149 Association of ACE-I and ARB Prescriptions With Mortality in Patients Admitted to the Hospital With COVID-19 in New York City

    Barrett, B. / Pamphile, S. / Yang, F. J. / Friedman, B.

    Annals of Emergency Medicine

    Abstract: Study Objectives: For several weeks in March and April 2020, New York City was the global epicenter ... 2020 and April 4, 2020 in the New York City borough of the Bronx The population was largely Black and ... angiotensin receptor blockers (ARBs) may worsen outcomes among patients with COVID-19 Methods: This was a retrospective case ...

    Abstract Study Objectives: For several weeks in March and April 2020, New York City was the global epicenter of the COVID-19 outbreak Minority populations in the Bronx were disproportionately affected Since the beginning of the outbreak, there has been speculation that angiotensin-converting enzyme inhibitors (ACE-Is) and angiotensin receptor blockers (ARBs) may worsen outcomes among patients with COVID-19 Methods: This was a retrospective case series We included patients >= 16 years with COVID-19 who presented to one of five EDs between March 9, 2020 and April 4, 2020 in the New York City borough of the Bronx The population was largely Black and Hispanic Included were 1,122 laboratory-confirmed cases of COVID-19, and 22 COVID-negative cases in which the clinical suspicion for disease remained high despite negative testing Laboratory confirmation of COVID-19 was performed with reverse-transcriptase polymerase chain reaction (RT-PCR) assays on nasopharyngeal swab specimens We abstracted data from the medical record on whether the patient had a current prescription for an ACE-I or ARB, as well as data on hypertension (HTN), diabetes (DM), chronic kidney disease (CKD), and congestive heart failure (CHF) Clinical outcomes included death, ICU admission, and need for renal replacement therapy (RRT) We determined inter-rater reliability for 10% of the data We report Spearman’s rho and p values for each variable and clinical outcomes We performed a logistic regression model in which death was the primary outcome and each of the predictor variables listed above were entered and retained in the model P = 16 years old admitted to the hospital with COVID-19 after controlling for medical comorbidities
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #898399
    Database COVID19

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