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department:Medicine. General Internal Medicine

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Evolving oxygenation management reasoning in COVID-19

Liu, Steven; Sweeney, Cara; Srisarajivakul-Klein, Nalinee; Klinger, Amanda; Dimitrova, Irina; Schaye, Verity
The initial phase of the SARS-CoV-2 pandemic in the United States saw rapidly-rising patient volumes along with shortages in personnel, equipment, and intensive care unit (ICU) beds across many New York City hospitals. As our hospital wards quickly filled with unstable, hypoxemic patients, our hospitalist group was forced to fundamentally rethink the way we triaged and managed cases of hypoxemic respiratory failure. Here, we describe the oxygenation protocol we developed and implemented in response to changing norms for acuity on inpatient wards. By reflecting on lessons learned, we re-evaluate the applicability of these oxygenation strategies in the evolving pandemic. We hope to impart to other providers the insights we gained with the challenges of management reasoning in COVID-19.
PMID: 32827395
ISSN: 2194-802x
CID: 4586752

Management of Dyslipidemia for Cardiovascular Disease Risk Reduction: Synopsis of the 2020 Updated U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline

O'Malley, Patrick G; Arnold, Michael J; Kelley, Cathy; Spacek, Lance; Buelt, Andrew; Natarajan, Sundar; Donahue, Mark P; Vagichev, Elena; Ballard-Hernandez, Jennifer; Logan, Amanda; Thomas, Lauren; Ritter, Joan; Neubauer, Brian E; Downs, John R
DESCRIPTION/UNASSIGNED:In June 2020, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) released a joint update of their clinical practice guideline for managing dyslipidemia to reduce cardiovascular disease risk in adults. This synopsis describes the major recommendations. METHODS/UNASSIGNED:On 6 August to 9 August 2019, the VA/DoD Evidence-Based Practice Work Group (EBPWG) convened a joint VA/DoD guideline development effort that included clinical stakeholders and conformed to the Institute of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel developed key questions, systematically searched and evaluated the literature (English-language publications from 1 December 2013 to 16 May 2019), and developed 27 recommendations and a simple 1-page algorithm. The recommendations were graded by using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. RECOMMENDATIONS/UNASSIGNED:This synopsis summarizes key features of the guideline in 7 crucial areas: targeting of statin dose (not low-density lipoprotein cholesterol goals), additional tests for risk prediction, primary and secondary prevention, laboratory testing, physical activity, and nutrition.
PMID: 32956597
ISSN: 1539-3704
CID: 4668922

In type 2 diabetes, GLP-1 RA plus SGLT2 inhibitor vs. either drug alone reduces HbA1c and SBP and may reduce body weight

Tanner, Michael
SOURCE CITATION/UNASSIGNED:Diabetes Obes Metab. 2020;22:1857-68. 32476254.
PMID: 33197349
ISSN: 1539-3704
CID: 4684382

RAAS Inhibitors and Risk of Covid-19. Reply [Comment]

Reynolds, Harmony R; Adhikari, Samrachana; Iturrate, Eduardo
PMID: 33108107
ISSN: 1533-4406
CID: 4646512

The battle for the Affordable Care Act [Sound Recording]

Gounder, Celine R; Gruber, Jonathan; Bagley, Nicholas
ORIGINAL:0015296
ISSN: n/a
CID: 4980512

Remdesivir for the Treatment of Covid-19 - Final Report

Beigel, John H; Tomashek, Kay M; Dodd, Lori E; Mehta, Aneesh K; Zingman, Barry S; Kalil, Andre C; Hohmann, Elizabeth; Chu, Helen Y; Luetkemeyer, Annie; Kline, Susan; Lopez de Castilla, Diego; Finberg, Robert W; Dierberg, Kerry; Tapson, Victor; Hsieh, Lanny; Patterson, Thomas F; Paredes, Roger; Sweeney, Daniel A; Short, William R; Touloumi, Giota; Lye, David Chien; Ohmagari, Norio; Oh, Myoung-Don; Ruiz-Palacios, Guillermo M; Benfield, Thomas; Fätkenheuer, Gerd; Kortepeter, Mark G; Atmar, Robert L; Creech, C Buddy; Lundgren, Jens; Babiker, Abdel G; Pett, Sarah; Neaton, James D; Burgess, Timothy H; Bonnett, Tyler; Green, Michelle; Makowski, Mat; Osinusi, Anu; Nayak, Seema; Lane, H Clifford; Ahn, Jenny; Ahuja, Neera; Alaaeddine, Ghina; Ali, Farhana; Amin, Alpesh N; Angus, Brian; Antoniadou, Anastasia; Arguinchona, Christa; Arguinchona, Henry; Atmar, Robert L; Babiker, Abdel G; Barmparessou, Zafeiria; Beigel, John H; Bell, Taison D; Benfield, Thomas; Benson, Constance A; Billings, Joanne; Boesecke, Christoph; Bonnett, Tyler; Branche, Angela R; Burgess, Timothy H; Cantos, Valeria D; Cao, Huyen; Chambers, Susan E; Chary, Aarthi; Chrysanthidis, Theofilos; Chu, Helen Y; Chung, Kevin K; Cohen, Stuart H; Colombo, Christopher J; Colombo, Rhonda E; Creech, C Buddy; Crouch, Pierre-Cedric B; Davey, Richard T; Dempsey, Walla; Dierberg, Kerry; Dodd, Lori E; Duncan, Christopher J A; Eckhardt, Benjamin; El Sahly, Hana M; Elsafy, Mohamed; Engel, Theresa; Erdmann, Nathaniel; Falsey, Ann R; Fatkenheuer, Gerd; Ferreira, Jennifer L; Finberg, Robert W; Follmann, Dean; Frank, Maria; Ganesan, Anuradha; George, Sarah L; Germain Seymour, Jack David; Gerstoft, Jan; Gettinger, Nikki; Gioukari, Vicky; Goepfert, Paul; Goodman, Anna; Green, Margaret; Green, Michelle; Grein, Jonathan; Grossberg, Robert; Helleberg, Marie; Hewlett, Angela; Hohmann, Elizabeth; Holodniy, Mark; Hsieh, Lanny; Huprikar, Nikhil; Hynes, Noreen A; Jackson, Patrick E H; Jang, Hannah; Javeri, Heta; Jensen, Tomas; Jilg, Nikolaus; Johansen, Isik; Jung, Jongtak; Jurao, Robert; Kalil, Andre C; Kalomenidis, Ioannis; Kim, Eu Suk; Kline, Susan; Knudsen, Lene; Koehler, Philipp; Koo, Hyung; Kortepeter, Mark G; Kotloff, Karen L; Koulouris, Nikolaos; Krueger, Karen; Lalani, Tahaniyat; Lane, H Clifford; Larson, LuAnn; Lee, Marina; Lee, Tida; Lindegaard, Birgitte; Lindholm, David A; Llewelyn, Martin; Lopez de Castilla, Diego; Luetkemeyer, Annie; Lundgren, Jens; Lye, David Chien; Madsen, Lone W; Makowski, Mat; Malin, Jakob J; Marks, G Lynn; Martinez-Orozco, Jose Arturo; Mateu, Lourdes; Maves, Ryan C; McGill, Fiona; McLellan, Susan L F; Mehta, Aneesh K; Mende, Katrin; Merrick, Blair; Metallidis, Simeon; Mikami, Ayako; Minton, Jane; Munoz, Jose; Nadeau, Kari; Nayak, Seema; Neaton, James D; Neumann, Henry J; Nielsen, Henrik; Nomicos, Effie; Noren, Brooke; Novak, Richard M; Oh, Myoung-Don; Ohmagari, Norio; Ong, Sean W X; Ortiz, Justin R; Osinusi, Anu; Ostergaard, Lars; Paredes, Roger; Park, Wan Beom; Patterson, Thomas F; Paules, Catharine I; Pett, Sarah; Philips, Barbara; Pikaart-Tautges, Rhonda; Ponce de Leon, Alfredo; Price, D Ashley; Proschan, Michael; Protopapas, Konstantinos; Rajme, Sandra; Regalado Pineda, Justino; Rice, Todd W; Riedo, Francis X; Riska, Paul F; Roldan, Montserrat; Rouphael, Nadine G; Ruiz-Palacios, Guillermo M; Sauer, Lauren M; Short, William R; Staerke, Nina; Stephan, Christoph; Stephens, David S; Sutterwala, Fayyaz; Sweeney, Daniel A; Swiatlo, Edwin; Taiwo, Babafemi; Tapson, Victor; Tebas, Pablo; Tennant, Janice; Thompson, George R 3rd; Thomsen, Isaac; Tomashek, Kay M; Torgersen, Jessie; Torres-Soto, Mariam; Touloumi, Giota; Traenkner, Jessica J; Utz, Gregory C; Uyeki, Timothy M; Van Winkle, Jason W; Voell, Jocelyn D; Vu, Trung; Wald, Anna; Walker, Robert; Walter, Emmanuel B; Wang, Jennifer P; Wang, Jing; Wasmuth, Jan-Christian; Weise, Lothar; Wendrow, Andrea; Wessolossky, Mireya; Whitaker, Jennifer; Widmer, Kyle; Wierzbicki, Michael R; Wolf, Timo; Wolfe, Cameron; Wolff, Peter; Yang, Otto O; Young, Heather; Zakynthinos, Spyros G; Zingman, Barry S
BACKGROUND:Although several therapeutic agents have been evaluated for the treatment of coronavirus disease 2019 (Covid-19), no antiviral agents have yet been shown to be efficacious. METHODS:We conducted a double-blind, randomized, placebo-controlled trial of intravenous remdesivir in adults who were hospitalized with Covid-19 and had evidence of lower respiratory tract infection. Patients were randomly assigned to receive either remdesivir (200 mg loading dose on day 1, followed by 100 mg daily for up to 9 additional days) or placebo for up to 10 days. The primary outcome was the time to recovery, defined by either discharge from the hospital or hospitalization for infection-control purposes only. RESULTS:A total of 1062 patients underwent randomization (with 541 assigned to remdesivir and 521 to placebo). Those who received remdesivir had a median recovery time of 10 days (95% confidence interval [CI], 9 to 11), as compared with 15 days (95% CI, 13 to 18) among those who received placebo (rate ratio for recovery, 1.29; 95% CI, 1.12 to 1.49; P<0.001, by a log-rank test). In an analysis that used a proportional-odds model with an eight-category ordinal scale, the patients who received remdesivir were found to be more likely than those who received placebo to have clinical improvement at day 15 (odds ratio, 1.5; 95% CI, 1.2 to 1.9, after adjustment for actual disease severity). The Kaplan-Meier estimates of mortality were 6.7% with remdesivir and 11.9% with placebo by day 15 and 11.4% with remdesivir and 15.2% with placebo by day 29 (hazard ratio, 0.73; 95% CI, 0.52 to 1.03). Serious adverse events were reported in 131 of the 532 patients who received remdesivir (24.6%) and in 163 of the 516 patients who received placebo (31.6%). CONCLUSIONS:Our data show that remdesivir was superior to placebo in shortening the time to recovery in adults who were hospitalized with Covid-19 and had evidence of lower respiratory tract infection. (Funded by the National Institute of Allergy and Infectious Diseases and others; ACTT-1 ClinicalTrials.gov number, NCT04280705.).
PMID: 32445440
ISSN: 1533-4406
CID: 4637302

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department [PrePrint]

Shamout, Farah E; Shen, Yiqiu; Wu, Nan; Kaku, Aakash; Park, Jungkyu; Makino, Taro; Jastrzębski, Stanisław; Wang, Duo; Zhang, Ben; Dogra, Siddhant; Cao, Meng; Razavian, Narges; Kudlowitz, David; Azour, Lea; Moore, William; Lui, Yvonne W; Aphinyanaphongs, Yindalon; Fernandez-Granda, Carlos; Geras, Krzysztof J
During the COVID-19 pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images, and a gradient boosting model that learns from routine clinical variables. Our AI prognosis system, trained using data from 3,661 patients, achieves an AUC of 0.786 (95% CI: 0.742-0.827) when predicting deterioration within 96 hours. The deep neural network extracts informative areas of chest X-ray images to assist clinicians in interpreting the predictions, and performs comparably to two radiologists in a reader study. In order to verify performance in a real clinical setting, we silently deployed a preliminary version of the deep neural network at NYU Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time. In summary, our findings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients.
PMCID:7418753
PMID: 32793769
ISSN: 2331-8422
CID: 4556742

Characterization of Myocardial Injury in Patients With COVID-19

Giustino, Gennaro; Croft, Lori B; Stefanini, Giulio G; Bragato, Renato; Silbiger, Jeffrey J; Vicenzi, Marco; Danilov, Tatyana; Kukar, Nina; Shaban, Nada; Kini, Annapoorna; Camaj, Anton; Bienstock, Solomon W; Rashed, Eman R; Rahman, Karishma; Oates, Connor P; Buckley, Samantha; Elbaum, Lindsay S; Arkonac, Derya; Fiter, Ryan; Singh, Ranbir; Li, Emily; Razuk, Victor; Robinson, Sam E; Miller, Michael; Bier, Benjamin; Donghi, Valeria; Pisaniello, Marco; Mantovani, Riccardo; Pinto, Giuseppe; Rota, Irene; Baggio, Sara; Chiarito, Mauro; Fazzari, Fabio; Cusmano, Ignazio; Curzi, Mirko; Ro, Richard; Malick, Waqas; Kamran, Mazullah; Kohli-Seth, Roopa; Bassily-Marcus, Adel M; Neibart, Eric; Serrao, Gregory; Perk, Gila; Mancini, Donna; Reddy, Vivek Y; Pinney, Sean P; Dangas, George; Blasi, Francesco; Sharma, Samin K; Mehran, Roxana; Condorelli, Gianluigi; Stone, Gregg W; Fuster, Valentin; Lerakis, Stamatios; Goldman, Martin E
BACKGROUND:Myocardial injury is frequent among patients hospitalized with coronavirus disease-2019 (COVID-19) and is associated with a poor prognosis. However, the mechanisms of myocardial injury remain unclear and prior studies have not reported cardiovascular imaging data. OBJECTIVES/OBJECTIVE:This study sought to characterize the echocardiographic abnormalities associated with myocardial injury and their prognostic impact in patients with COVID-19. METHODS:We conducted an international, multicenter cohort study including 7 hospitals in New York City and Milan of hospitalized patients with laboratory-confirmed COVID-19 who had undergone transthoracic echocardiographic (TTE) and electrocardiographic evaluation during their index hospitalization. Myocardial injury was defined as any elevation in cardiac troponin at the time of clinical presentation or during the hospitalization. RESULTS:A total of 305 patients were included. Mean age was 63 years and 205 patients (67.2%) were male. Overall, myocardial injury was observed in 190 patients (62.3%). Compared with patients without myocardial injury, those with myocardial injury had more electrocardiographic abnormalities, higher inflammatory biomarkers and an increased prevalence of major echocardiographic abnormalities that included left ventricular wall motion abnormalities, global left ventricular dysfunction, left ventricular diastolic dysfunction grade II or III, right ventricular dysfunction and pericardial effusions. Rates of in-hospital mortality were 5.2%, 18.6%, and 31.7% in patients without myocardial injury, with myocardial injury without TTE abnormalities, and with myocardial injury and TTE abnormalities. Following multivariable adjustment, myocardial injury with TTE abnormalities was associated with higher risk of death but not myocardial injury without TTE abnormalities. CONCLUSIONS:Among patients with COVID-19 who underwent TTE, cardiac structural abnormalities were present in nearly two-thirds of patients with myocardial injury. Myocardial injury was associated with increased in-hospital mortality particularly if echocardiographic abnormalities were present.
PMID: 33121710
ISSN: 1558-3597
CID: 4646832

The Paradox of STEMI Regionalization: Widened Disparities Despite Some Benefits

Roswell, Robert O; Brown, Rachel-Maria; Richardson, Safiya
PMID: 33196803
ISSN: 2574-3805
CID: 4672352

Hepatitis B Virus Screening and Management for Patients With Cancer Prior to Therapy: ASCO Provisional Clinical Opinion Update

Hwang, Jessica P; Feld, Jordan J; Hammond, Sarah P; Wang, Su H; Alston-Johnson, Devena E; Cryer, Donna R; Hershman, Dawn L; Loehrer, Andrew P; Sabichi, Anita L; Symington, Banu E; Terrault, Norah; Wong, Melisa L; Somerfield, Mark R; Artz, Andrew S
PURPOSE/OBJECTIVE:This Provisional Clinical Opinion update presents a clinically pragmatic approach to hepatitis B virus (HBV) screening and management. PROVISIONAL CLINICAL OPINION/UNASSIGNED:All patients anticipating systemic anticancer therapy should be tested for HBV by 3 tests-hepatitis B surface antigen (HBsAg), hepatitis B core antibody (anti-HBc) total immunoglobulin (Ig) or IgG, and antibody to hepatitis B surface antigen-but anticancer therapy should not be delayed. Findings of chronic HBV (HBsAg-positive) or past HBV (HBsAg-negative and anti-HBc-positive) infection require HBV reactivation risk assessment.Patients with chronic HBV receiving any systemic anticancer therapy should receive antiviral prophylactic therapy through and for minimum 12 months following anticancer therapy. Hormonal therapy alone should not pose a substantial risk of HBV reactivation in patients with chronic HBV receiving hormonal therapy alone; these patients may follow noncancer HBV monitoring and treatment guidance. Coordination of care with a clinician experienced in HBV management is recommended for patients with chronic HBV to determine HBV monitoring and long-term antiviral therapy after completion of anticancer therapy.Patients with past HBV infection undergoing anticancer therapies associated with a high risk of HBV reactivation, such as anti-CD20 monoclonal antibodies or stem-cell transplantation, should receive antiviral prophylaxis during and for minimum 12 months after anticancer therapy completion, with individualized management thereafter. Careful monitoring may be an alternative if patients and providers can adhere to frequent, consistent follow-up so antiviral therapy may begin at the earliest sign of reactivation. Patients with past HBV undergoing other systemic anticancer therapies not clearly associated with a high risk of HBV reactivation should be monitored with HBsAg and alanine aminotransferase during cancer treatment; antiviral therapy should commence if HBV reactivation occurs.Additional information is available at www.asco.org/supportive-care-guidelines.
PMID: 32716741
ISSN: 1527-7755
CID: 4704322