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Flickinger KL, Weissman A, Elmer J, Coppler PJ, Guyette FX, Repine MJ, Dezfulian C, Hopkins D, Frisch A, Doshi AA, Rittenberger JC, Callaway CW. Metabolic Manipulation and Therapeutic Hypothermia. Ther Hypothermia Temp Manag 2024; 14:46-51. [PMID: 37405749 DOI: 10.1089/ther.2023.0010] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/06/2023] Open
Abstract
Hypothermia has multiple physiological effects, including decreasing metabolic rate and oxygen consumption (VO2). There are few human data about the magnitude of change in VO2 with decreases in core temperature. We aimed to quantify to magnitude of reduction in resting VO2 as we reduced core temperature in lightly sedated healthy individuals. After informed consent and physical screening, we cooled participants by rapidly infusing 20 mL/kg of cold (4°C) saline intravenously and placing surface cooling pads on the torso. We attempted to suppress shivering using a 1 mcg/kg intravenous bolus of dexmedetomidine followed by titrated infusion at 1.0 to 1.5 μg/(kg·h). We measured resting metabolic rate VO2 through indirect calorimetry at baseline (37°C) and at 36°C, 35°C, 34°C, and 33°C. Nine participants had mean age 30 (standard deviation 10) years and 7 (78%) were male. Baseline VO2 was 3.36 mL/(kg·min) (interquartile range 2.98-3.76) mL/(kg·min). VO2 was associated with core temperature and declined with each degree decrease in core temperature, unless shivering occurred. Over the entire range from 37°C to 33°C, median VO2 declined 0.7 mL/(kg·min) (20.8%) in the absence of shivering. The largest average decrease in VO2 per degree Celsius was by 0.46 mL/(kg·min) (13.7%) and occurred between 37°C and 36°C in the absence of shivering. After a participant developed shivering, core body temperature did not decrease further, and VO2 increased. In lightly sedated humans, metabolic rate decreases around 5.2% for each 1°C decrease in core temperature from 37°C to 33°C. Because the largest decrease in metabolic rate occurs between 37°C and 36°C, subclinical shivering or other homeostatic reflexes may be present at lower temperatures.
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Affiliation(s)
- Katharyn L Flickinger
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jonathan Elmer
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Patrick J Coppler
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Francis X Guyette
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Melissa J Repine
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Cameron Dezfulian
- Department of Critical Care, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Critical Care, Baylor College of Medicine, Houston, Texas, USA
- Critical Care, Texas Children's Hospital, Houston, Texas, USA
| | - David Hopkins
- Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania, USA
| | - Adam Frisch
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Ankur A Doshi
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jon C Rittenberger
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Department of Occupational Therapy, University of Pittsburgh School of Health and Rehabilitation Sciences, Pittsburgh, Pennsylvania, USA
- Department of Emergency Medicine, Guthrie Medical Group, Sayre, Pennsylvania, USA
| | - Clifton W Callaway
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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Feferkorn I, Santos-Ribeiro S, Ubaldi FM, Velasco JG, Ata B, Blockeel C, Conforti A, Esteves SC, Fatemi HM, Gianaroli L, Grynberg M, Humaidan P, Lainas GT, La Marca A, Craig LB, Lathi R, Norman RJ, Orvieto R, Paulson R, Pellicer A, Polyzos NP, Roque M, Sunkara SK, Tan SL, Urman B, Venetis C, Weissman A, Yarali H, Dahan MH. Correction to: The HERA (Hyper‑response Risk Assessment) Delphi consensus for the management of hyper‑responders in in vitro fertilization. J Assist Reprod Genet 2024; 41:519-520. [PMID: 38079078 PMCID: PMC10894774 DOI: 10.1007/s10815-023-03003-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024] Open
Affiliation(s)
- I Feferkorn
- Sackler Faculty of Medicine, IVF Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.
| | | | - F M Ubaldi
- GeneraLife Centers for Reproductive Medicine, Rome, Italy
| | | | - B Ata
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Koc University School of Medicine, Istanbul, Turkey
- ART Fertility Clinics, Dubai, United Arab Emirates
| | - C Blockeel
- Centre for Reproductive Medicine, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, Belgium
| | - A Conforti
- Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - S C Esteves
- ANDROFERT, Andrology and Human Reproduction Clinic, Av. Dr. Heitor Penteado 1464, Campinas, SP, 13075‑460, Brazil
- Department of Surgery (Division of Urology), University of Campinas (UNICAMP), Campinas, SP, Brazil
- Faculty of Health, Aarhus University, 8000, Aarhus C, Denmark
| | - H M Fatemi
- ART Fertility Clinics, Abu Dhabi, United Arab Emirates
| | - L Gianaroli
- Società Italiana Studi di Medicina della RiproduzioneS.I.S.Me.R. Reproductive Medicine Institute, Emilia‑Romagna, Bologna, Italy
| | - M Grynberg
- Department of Reproductive Medicine, Hôpital Antoine‑Béclère, University Paris-Sud (Paris XI), Le Kremlin‑Bicêtre, Clamart, France
| | - P Humaidan
- The Fertility Clinic, Skive Regional Hospital, Faculty of Health, Aarhus University, Resenvej 25, 7800, Skive, Denmark
| | | | - A La Marca
- Obstetrics, Gynecology and Reproductive Medicine, University of Modena and Reggio Emilia, Policlinico di Modena, via del Pozzo 71, 41124, Modena, Italy
| | - L B Craig
- Section of Reproductive Endocrinology & Infertility, Department of Obstetrics & Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - R Lathi
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, USA
| | - R J Norman
- Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
- FertilitySA, Adelaide, South Australia, Australia
- Monash Centre for Health Research and Implementation MCHRI, Monash University, Melbourne, Australia
- NHMRC Centre of Research Excellence in Women's Health in Reproductive Life (CRE-WHiRL), Melbourne, Australia
| | - R Orvieto
- Department of Obstetrics and Gynecology, Chaim Sheba Medical Center (Tel Hashomer), Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Tarnesby‑Tarnowski Chair for Family Planning and Fertility Regulation, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - R Paulson
- University of Southern California, Los Angeles, CA, 90033, USA
| | - A Pellicer
- Department of Pediatrics, Obstetrics and Gynecology, School of Medicine, University of Valencia, Valencia, Spain
- IVI Roma Parioli, IVI-RMA Global, Rome, Italy
| | - N P Polyzos
- Department of Reproductive Medicine, Dexeus Mujer, Hospital Universitario Dexeus, Barcelona, Spain
| | - M Roque
- Department of Reproductive Medicine, ORIGEN-Center for Reproductive Medicine, Rio de Janeiro, RJ, Brazil
- Department of Obstetrics and Gynecology, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - S K Sunkara
- Department of Women and Children's Health, King's College London, London, UK
| | - S L Tan
- OriginElle Fertility Clinic, 2110 Boul. Decarie, Montreal, QC, Canada
| | - B Urman
- Department of Obstetrics and Gynecology and Assisted Reproduction, American Hospital, Istanbul, Koc University School of Medicine, Istanbul, Turkey
| | - C Venetis
- Unit for Human Reproduction, 1st Dept of OB/Gyn, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Centre for Big Data Research in Health, Faculty of Medicine & Health, University of New South Wales, Sydney, New South Wales, Australia
- Virtus Health, Sydney, Australia
| | - A Weissman
- In Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Edith Wolfson Medical Center, Holon, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Yarali
- Division of Reproductive Endocrinology and Infertility, Dept. of Obstetrics and Gynecology, Hacettepe University, School of Medicine, Anatolia IVF and Women's Health Center, Ankara, Turkey
| | - M H Dahan
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, 888 Boul. de Maisonneuve E #200, Montreal, QC, H2L 4S8, Canada
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Naito H, Hanafusa H, Hongo T, Yumoto T, Yorifuji T, Weissman A, Rittenberger JC, Guyette FX, Fujishima M, Maeyama H, Nakao A. Effect of stomach inflation during cardiopulmonary resuscitation on return of spontaneous circulation in out-of-hospital cardiac arrest patients: A retrospective observational study. Resuscitation 2023; 193:109994. [PMID: 37813147 DOI: 10.1016/j.resuscitation.2023.109994] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/28/2023] [Accepted: 10/02/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Gastric inflation caused by excessive ventilation is a common complication of cardiopulmonary resuscitation. Gastric inflation may further compromise ventilation via increases in intrathoracic pressure, leading to decreased venous return and cardiac output, which may impair out-of-hospital cardiac arrest (OHCA) outcomes. The purpose of this study was to measure the gastric volume of OHCA patients using computed tomography (CT) scan images and evaluate the effect of gastric inflation on return of spontaneous circulation (ROSC). METHODS In this single-center, retrospective, observational study, CT scan was conducted after ROSC or immediately after death. Total gastric volume was measured. Primary outcome was ROSC. Achievement of ROSC was compared in the gastric distention group and the no gastric distention group; gastric distension was defined as total gastric volume in the ≥75th percentile. Additionally, factors associated with gastric distention were examined. RESULTS A total of 446 cases were enrolled in the study; 120 cases (27%) achieved ROSC. The median gastric volume was 400 ml for all OHCA subjects; 1068 ml in gastric distention group vs. 287 ml in no gastric distention group. There was no difference in ROSC between the groups (27/112 [24.1%] vs. 93/334 [27.8%], p = 0.440). Gastric distention did not have a significant impact, even after adjustments (adjusted odds ratio 0.73, 95% confidence interval [0.42-1.29]). Increased gastric volume was associated with longer emergency medical service activity time. CONCLUSIONS We observed a median gastric volume of 400 ml in patients after OHCA resuscitation. In our setting, gastric distention did not prevent ROSC.
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Affiliation(s)
- Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan; Emergency and Critical Care Center, Tsuyama Chuo Hospital, Tsuyama, Japan.
| | - Hiroaki Hanafusa
- Emergency and Critical Care Center, Tsuyama Chuo Hospital, Tsuyama, Japan; Department of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Center, Imperial Gift Foundation SAISEIKAI, Utsunomiya Hospital, Tochigi, Japan
| | - Takashi Hongo
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tetsuya Yumoto
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | - Jon C Rittenberger
- Department of Emergency Medicine, Guthrie Robert Packer Hospital, Sayre, USA
| | - Francis X Guyette
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
| | | | - Hiroki Maeyama
- Emergency and Critical Care Center, Tsuyama Chuo Hospital, Tsuyama, Japan
| | - Astunori Nakao
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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Feferkorn I, Santos-Ribeiro S, Ubaldi FM, Velasco JG, Ata B, Blockeel C, Conforti A, Esteves SC, Fatemi HM, Gianaroli L, Grynberg M, Humaidan P, Lainas GT, La Marca A, LaTasha C, Lathi R, Norman RJ, Orvieto R, Paulson R, Pellicer A, Polyzos NP, Roque M, Sunkara SK, Tan SL, Urman B, Venetis C, Weissman A, Yarali H, Dahan MH. The HERA (Hyper-response Risk Assessment) Delphi consensus for the management of hyper-responders in in vitro fertilization. J Assist Reprod Genet 2023; 40:2681-2695. [PMID: 37713144 PMCID: PMC10643792 DOI: 10.1007/s10815-023-02918-5] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/15/2023] [Indexed: 09/16/2023] Open
Abstract
PURPOSE To provide agreed-upon guidelines on the management of a hyper-responsive patient undergoing ovarian stimulation (OS) METHODS: A literature search was performed regarding the management of hyper-response to OS for assisted reproductive technology. A scientific committee consisting of 4 experts discussed, amended, and selected the final statements. A priori, it was decided that consensus would be reached when ≥66% of the participants agreed, and ≤3 rounds would be used to obtain this consensus. A total of 28/31 experts responded (selected for global coverage), anonymous to each other. RESULTS A total of 26/28 statements reached consensus. The most relevant are summarized here. The target number of oocytes to be collected in a stimulation cycle for IVF in an anticipated hyper-responder is 15-19 (89.3% consensus). For a potential hyper-responder, it is preferable to achieve a hyper-response and freeze all than aim for a fresh transfer (71.4% consensus). GnRH agonists should be avoided for pituitary suppression in anticipated hyper-responders performing IVF (96.4% consensus). The preferred starting dose in the first IVF stimulation cycle of an anticipated hyper-responder of average weight is 150 IU/day (82.1% consensus). ICoasting in order to decrease the risk of OHSS should not be used (89.7% consensus). Metformin should be added before/during ovarian stimulation to anticipated hyper-responders only if the patient has PCOS and is insulin resistant (82.1% consensus). In the case of a hyper-response, a dopaminergic agent should be used only if hCG will be used as a trigger (including dual/double trigger) with or without a fresh transfer (67.9% consensus). After using a GnRH agonist trigger due to a perceived risk of OHSS, luteal phase rescue with hCG and an attempt of a fresh transfer is discouraged regardless of the number of oocytes collected (72.4% consensus). The choice of the FET protocol is not influenced by the fact that the patient is a hyper-responder (82.8% consensus). In the cases of freeze all due to OHSS risk, a FET cycle can be performed in the immediate first menstrual cycle (92.9% consensus). CONCLUSION These guidelines for the management of hyper-response can be useful for tailoring patient care and for harmonizing future research.
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Affiliation(s)
- I Feferkorn
- IVF Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | | | - F M Ubaldi
- GeneraLife Centers for Reproductive Medicine, Rome, Italy
| | | | - B Ata
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Koc University School of Medicine, Istanbul, Turkey
- ART Fertility Clinics, Dubai, United Arab Emirates
| | - C Blockeel
- Centre for Reproductive Medicine, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, Belgium
| | - A Conforti
- Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - S C Esteves
- ANDROFERT, Andrology and Human Reproduction Clinic, Av. Dr. Heitor Penteado 1464, Campinas, SP, 13075-460, Brazil
- Department of Surgery (Division of Urology), University of Campinas (UNICAMP), Campinas, SP, Brazil
- Faculty of Health, Aarhus University, C, 8000, Aarhus, Denmark
| | - H M Fatemi
- ART Fertility Clinics, Abu Dhabi, United Arab Emirates
| | - L Gianaroli
- Società Italiana Studi di Medicina della Riproduzione, S.I.S.Me.R. Reproductive Medicine Institute, Bologna, Emilia-Romagna, Italy
| | - M Grynberg
- Department of Reproductive Medicine, Hôpital Antoine-Béclère, University Paris-Sud (Paris XI), Le Kremlin-Bicêtre, Clamart, France
| | - P Humaidan
- The Fertility Clinic, Skive Regional Hospital, Faculty of Health, Aarhus University, Resenvej 25, 7800, Skive, Denmark
| | | | - A La Marca
- Obstetrics, Gynecology and Reproductive Medicine, University of Modena and Reggio Emilia, Policlinico di Modena, via del Pozzo 71, 41124, Modena, Italy
| | - C LaTasha
- Section of Reproductive Endocrinology & Infertility, Department of Obstetrics & Gynecology, University of Oklahoma Health Sciences Center, Oklahoma City, USA
| | - R Lathi
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Stanford University, Stanford, CA, USA
| | - R J Norman
- Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia
- FertilitySA, Adelaide, South Australia, Australia
- Monash Centre for Health Research and Implementation MCHRI, Monash University, Melbourne, Australia
- NHMRC Centre of Research Excellence in Women's Health in Reproductive Life (CRE-WHiRL), Melbourne, Australia
| | - R Orvieto
- Department of Obstetrics and Gynecology, Chaim Sheba Medical Center (Tel Hashomer), Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Tarnesby-Tarnowski Chair for Family Planning and Fertility Regulation, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - R Paulson
- University of Southern California, Los Angeles, CA, 90033, USA
| | - A Pellicer
- Department of Pediatrics, Obstetrics and Gynecology, School of Medicine, University of Valencia, Valencia, Spain
- IVI Roma Parioli, IVI-RMA Global, Rome, Italy
| | - N P Polyzos
- Department of Reproductive Medicine, Dexeus Mujer, Hospital Universitario Dexeus, Barcelona, Spain
| | - M Roque
- Department of Reproductive Medicine, ORIGEN-Center for Reproductive Medicine, Rio de Janeiro, RJ, Brazil
- Department of Obstetrics and Gynecology, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - S K Sunkara
- Department of Women and Children's Health, King's College London, London, UK
| | - S L Tan
- OriginElle Fertility Clinic 2110 Boul. Decarie, Montreal, QC, Canada
| | - B Urman
- Department of Obstetrics and Gynecology and Assisted Reproduction, American Hospital, Istanbul, Koc University School of Medicine, Istanbul, Turkey
| | - C Venetis
- Unit for Human Reproduction, 1st Dept of OB/Gyn, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Centre for Big Data Research in Health, Faculty of Medicine & Health, University of New South Wales, Sydney, New South Wales, Australia
- Virtus Health, Sydney, Australia
| | - A Weissman
- In Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Edith Wolfson Medical Center, Holon, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Yarali
- Division of Reproductive Endocrinology and Infertility, Dept. of Obstetrics and Gynecology, Hacettepe University, School of Medicine, Anatolia IVF and Women's Health Center, Ankara, Turkey
| | - M H Dahan
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, 888 Boul. de Maisonneuve E #200, Montreal, QC, H2L 4S8, Canada
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Oanesa RD, Su TWH, Weissman A. Evidence for Use of Validated Sepsis Screening Tools in the Prehospital Population: A Scoping Review. PREHOSP EMERG CARE 2023; 28:485-493. [PMID: 37327065 DOI: 10.1080/10903127.2023.2224862] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/08/2023] [Accepted: 06/08/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Early detection and treatment of sepsis improves chances of survival; however, sepsis is often difficult to diagnose initially. This is especially true in the prehospital setting, where resources are scarce, yet time is of great significance. Early warning scores (EWS) based on vital signs were originally developed to guide medical practitioners in determining the degree of illness of a patient in the in-patient setting. These EWS were adapted for use in the prehospital setting to predict critical illness and sepsis. We performed a scoping review to evaluate the existing evidence for use of validated EWS to identify prehospital sepsis. METHODS We performed a systematic search using the CINAHL, Embase, Ovid-MEDLINE, and PubMed databases on September 1, 2022. Articles that examined the use of EWS to identify prehospital sepsis were included and assessed. RESULTS Twenty-three studies were included in this review: one validation study, two prospective studies, two systematic reviews, and 18 retrospective studies. Study characteristics, classification statistics, and primary conclusions of each article were extracted and tabulated. Classification statistics varied markedly for prehospital sepsis identification across all included EWS: sensitivities ranged from 0.02-1.00, specificities from 0.07-1.00, and PPV and NPV from 0.19-0.98 and 0.32-1.00, respectively. CONCLUSIONS All studies demonstrated inconsistency for the identification of prehospital sepsis. The variety of available EWS and study design heterogeneity suggest it is unlikely that new research can identify a single gold standard score. Based on our findings in this scoping review, we recommend future efforts focus on combining standardized prehospital care with clinical judgment to provide timely interventions for unstable patients where infection is considered a likely etiology, in addition to improving sepsis education for prehospital clinicians. At most, EWS can be used as an adjunct to these efforts, but they should not be relied on alone for prehospital sepsis identification.
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Affiliation(s)
- Rae Denise Oanesa
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tom Wen-Han Su
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Community Health Services and Rehabilitation Science, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alexandra Weissman
- Department of Emergency Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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Coppler PJ, Elmer J, Doshi A, Guyette FX, Okubo M, Ratay C, Frisch AN, Steinberg A, Weissman A, Arias V, Drumheller BC, Flickinger KL, Faro J, Schmidhofer M, Rhinehart ZJ, Hansra BS, Fong-Isariyawongse J, Barot N, Baldwin ME, Murat Kaynar A, Darby JM, Shutter LA, Mettenburg J, Callaway CW. Duration of cardiopulmonary resuscitation and phenotype of post-cardiac arrest brain injury. Resuscitation 2023; 188:109823. [PMID: 37164175 DOI: 10.1016/j.resuscitation.2023.109823] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/17/2023] [Accepted: 05/01/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Patients resuscitated from cardiac arrest have variable severity of primary hypoxic ischemic brain injury (HIBI). Signatures of primary HIBI on brain imaging and electroencephalography (EEG) include diffuse cerebral edema and burst suppression with identical bursts (BSIB). We hypothesize distinct phenotypes of primary HIBI are associated with increasing cardiopulmonary resuscitation (CPR) duration. METHODS We identified from our prospective registry of both in-and out-of-hospital CA patients treated between January 2010 to January 2020 for this cohort study. We abstracted CPR duration, neurological examination, initial brain computed tomography gray to white ratio (GWR), and initial EEG pattern. We considered four phenotypes on presentation: awake; comatose with neither BSIB nor cerebral edema (non-malignant coma); BSIB; and cerebral edema (GWR ≤ 1.20). BSIB and cerebral edema were considered as non-mutually exclusive outcomes. We generated predicted probabilities of brain injury phenotype using localized regression. RESULTS We included 2,440 patients, of whom 545 (23%) were awake, 1,065 (44%) had non-malignant coma, 548 (23%) had BSIB and 438 (18%) had cerebral edema. Only 92 (4%) had both BSIB and edema. Median CPR duration was 16 [IQR 8-28] minutes. Median CPR duration increased in a stepwise manner across groups: awake 6 [3-13] minutes; non-malignant coma 15 [8-25] minutes; BSIB 21 [13-31] minutes; cerebral edema 32 [22-46] minutes. Predicted probability of phenotype changes over time. CONCLUSIONS Brain injury phenotype is related to CPR duration, which is a surrogate for severity of HIBI. The sequence of most likely primary HIBI phenotype with progressively longer CPR duration is awake, coma without BSIB or edema, BSIB, and finally cerebral edema.
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Affiliation(s)
- Patrick J Coppler
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jonathan Elmer
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ankur Doshi
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Francis X Guyette
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Masashi Okubo
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cecelia Ratay
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adam N Frisch
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexis Steinberg
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Valerie Arias
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Byron C Drumheller
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - John Faro
- Department of Medicine, Soin Medical Center - Kettering Health, Beavercreek, OH, USA
| | - Mark Schmidhofer
- Department of Medicine, Division of Cardiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Zachary J Rhinehart
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Barinder S Hansra
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Medicine, Division of Cardiology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Niravkumar Barot
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria E Baldwin
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Murat Kaynar
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph M Darby
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lori A Shutter
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph Mettenburg
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Clifton W Callaway
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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Feferkorn I, Ata B, Esteves SC, La Marca A, Paulson R, Blockeel C, Conforti A, Fatemi HM, Humaidan P, Lainas GT, Mol BW, Norman RJ, Orvieto R, Polyzos NP, Santos-Ribeiro S, Sunkara SK, Tan SL, Ubaldi FM, Urman B, Velasco JG, Weissman A, Yarali H, Dahan MH. The HERA (Hyper-response Risk Assessment) Delphi consensus definition of hyper-responders for in-vitro fertilization. J Assist Reprod Genet 2023; 40:1071-1081. [PMID: 36933094 PMCID: PMC10239403 DOI: 10.1007/s10815-023-02757-4] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/19/2023] [Indexed: 03/19/2023] Open
Abstract
PURPOSE To provide an agreed upon definition of hyper-response for women undergoing ovarian stimulation (OS)? METHODS A literature search was performed regarding hyper-response to ovarian stimulation for assisted reproductive technology. A scientific committee consisting of 5 experts discussed, amended, and selected the final statements in the questionnaire for the first round of the Delphi consensus. The questionnaire was distributed to 31 experts, 22 of whom responded (with representation selected for global coverage), each anonymous to the others. A priori, it was decided that consensus would be reached when ≥ 66% of the participants agreed and ≤ 3 rounds would be used to obtain this consensus. RESULTS 17/18 statements reached consensus. The most relevant are summarized here. (I) Definition of a hyper-response: Collection of ≥ 15 oocytes is characterized as a hyper-response (72.7% agreement). OHSS is not relevant for the definition of hyper-response if the number of collected oocytes is above a threshold (≥ 15) (77.3% agreement). The most important factor in defining a hyper-response during stimulation is the number of follicles ≥ 10 mm in mean diameter (86.4% agreement). (II) Risk factors for hyper-response: AMH values (95.5% agreement), AFC (95.5% agreement), patient's age (77.3% agreement) but not ovarian volume (72.7% agreement). In a patient without previous ovarian stimulation, the most important risk factor for a hyper-response is the antral follicular count (AFC) (68.2% agreement). In a patient without previous ovarian stimulation, when AMH and AFC are discordant, one suggesting a hyper-response and the other not, AFC is the more reliable marker (68.2% agreement). The lowest serum AMH value that would place one at risk for a hyper-response is ≥ 2 ng/ml (14.3 pmol/L) (72.7% agreement). The lowest AFC that would place one at risk for a hyper-response is ≥ 18 (81.8% agreement). Women with polycystic ovarian syndrome (PCOS) as per Rotterdam criteria are at a higher risk of hyper-response than women without PCOS with equivalent follicle counts and gonadotropin doses during ovarian stimulation for IVF (86.4% agreement). No consensus was reached regarding the number of growing follicles ≥ 10 mm that would define a hyper-response. CONCLUSION The definition of hyper-response and its risk factors can be useful for harmonizing research, improving understanding of the subject, and tailoring patient care.
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Affiliation(s)
- Ido Feferkorn
- IVF Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - B Ata
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Koc University School of Medicine, Istanbul, Turkey
- ART Fertility Clinics, Dubai, United Arab Emirates
| | - S C Esteves
- ANDROFERT, Andrology and Human Reproduction Clinic, Av. Dr. Heitor Penteado 1464, Campinas, SP, 13075-460, Brazil
- Department of Surgery (Division of Urology), University of Campinas (UNICAMP), Campinas, SP, Brazil
- Faculty of Health, Aarhus University, 8000, Aarhus C, Denmark
| | - A La Marca
- Obstetrics, Gynecology and Reproductive Medicine, University of Modena and Reggio Emilia, Policlinico di Modena, via del Pozzo 71, 41124, Modena, Italy
| | - R Paulson
- University of Southern California, Los Angeles, CA, 90033, USA
| | - C Blockeel
- Centre for Reproductive Medicine, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090, Jette, Belgium
| | - A Conforti
- Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy
| | - H M Fatemi
- ART Fertility Clinics, Abu Dhabi, United Arab Emirates
| | - P Humaidan
- The Fertility Clinic, Skive Regional Hospital, Faculty of Health, Aarhus University, Resenvej 25, 7800, Skive, Denmark
| | | | - B W Mol
- Department of Obstetrics and Gynaecology, Monash University, Clayton, Australia
- Aberdeen Centre for Women's Health Research, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - R J Norman
- School of Medicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia
- FertilitySA, Adelaide, South Australia
- Monash Centre for Health Research and Implementation MCHRI, Monash University, Clayton, Australia
- NHMRC Centre of Research Excellence in Women's Health in Reproductive Life (CRE-WHiRL), Clayton, Australia
| | - R Orvieto
- Department of Obstetrics and Gynecology, Chaim Sheba Medical Center (Tel Hashomer), Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Tarnesby-Tarnowski Chair for Family Planning and Fertility Regulation, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - N P Polyzos
- Department of Reproductive Medicine, Dexeus Mujer, Hospital Universitario Dexeus, Barcelona, Spain
| | | | - S K Sunkara
- Department of Women and Children's Health, King's College London, London, UK
| | - S L Tan
- IVF Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- OriginElle Fertility Clinic, 2110 Boul. Decarie, Montreal, QC, Canada
| | - F M Ubaldi
- Scientific Executive Committee - GeneraLife Centers for Reproductive Medicine, Rome, Italy
| | - B Urman
- Department of Obstetrics and Gynecology and Assisted Reproduction, American Hospital, Istanbul, Koc University School of Medicine, Istanbul, Turkey
| | | | - A Weissman
- In Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Edith Wolfson Medical Center, Holon, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Yarali
- School of Medicine, Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Hacettepe University, Ankara, Turkey
- Anatolia IVF and Women's Health Center, Ankara, Turkey
| | - M H Dahan
- Division of Reproductive Endocrinology and Infertility, McGill University Health Care Center, 888 Boul. de Maisonneuve E #200, Montréal, QC, H2L 4S8, Canada
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Schoenling A, Frisch A, Callaway CW, Yealy DM, Weissman A. Home oxygen therapy from the emergency department for COVID-19 an observational study. Am J Emerg Med 2023; 68:47-51. [PMID: 36933333 PMCID: PMC9993732 DOI: 10.1016/j.ajem.2023.03.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/21/2023] [Accepted: 03/04/2023] [Indexed: 03/14/2023] Open
Abstract
STUDY OBJECTIVE During the COVID-19 pandemic, prescribing supplemental oxygen was a common reason for hospitalization of patients. We evaluated outcomes of COVID-19 patients discharged from the Emergency Department (ED) with home oxygen as part of a program to decrease hospital admissions. METHODS We retrospectively observed COVID-19 patients with an ED visit resulting in direct discharge or observation from April 2020 to January 2022 at 14 hospitals in a single healthcare system. The cohort included those discharged with new oxygen supplementation, a pulse oximeter, and return instructions. Our primary outcome was subsequent hospitalization or death outside the hospital within 30 days of ED or observation discharge. RESULTS Among 28,960 patients visiting the ED for COVID-19, providers admitted 11,508 (39.7%) to the hospital, placed 907 (3.1%) in observation status, and discharged 16,545 (57.1%) to home. A total of 614 COVID-19 patients (535 discharge to home and 97 observation unit) went home on new oxygen therapy. We observed the primary outcome in 151 (24.6%, CI 21.3-28.1%) patients. There were 148 (24.1%) patients subsequently hospitalized and 3 (0.5%) patients who died outside the hospital. The subsequent hospitalized mortality rate was 29.7% with 44 of the 148 patients admitted to the hospital dying. Mortality all cause at 30 days in the entire cohort was 7.7%. CONCLUSIONS Most patients discharged to home with new oxygen for COVID-19 safely avoid later hospitalization and few patients die within 30 days. This suggests the feasibility of the approach and offers support for ongoing research and implementation efforts.
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Affiliation(s)
- Andrew Schoenling
- University of Pittsburgh Medical Center, Department of Critical Care, 3550 Terrace St, Alan Magee Scaife Hall, Suite 600, Pittsburgh, PA, USA.
| | - Adam Frisch
- University of Pittsburgh Medical Center, Department of Emergency Medicine, 3600 Forbes Meyran Ave, Forbes Tower, Suite 10028, Pittsburgh, PA, USA
| | - Clifton W Callaway
- University of Pittsburgh Medical Center, Department of Emergency Medicine, 3600 Forbes Meyran Ave, Forbes Tower, Suite 10028, Pittsburgh, PA, USA
| | - Donald M Yealy
- University of Pittsburgh Medical Center, Department of Emergency Medicine, 3600 Forbes Meyran Ave, Forbes Tower, Suite 10028, Pittsburgh, PA, USA
| | - Alexandra Weissman
- University of Pittsburgh Medical Center, Department of Emergency Medicine, 3600 Forbes Meyran Ave, Forbes Tower, Suite 10028, Pittsburgh, PA, USA
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Klein A, Weissman A, Arias C, Ryan L, Bachur R, Rothman R, Halabi S, Motov SM, Kaplan S. A Host Score Differentiates Bacterial from Viral Infection in Emergency Department Febrile Patients. J Emerg Med 2023. [DOI: 10.1016/j.jemermed.2023.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
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Zimmerman RK, Balasubramani GK, D'Agostino HEA, Clarke L, Yassin M, Middleton DB, Silveira FP, Wheeler ND, Landis J, Peterson A, Suyama J, Weissman A, Nowalk MP. Population-based hospitalization burden estimates for respiratory viruses, 2015-2019. Influenza Other Respir Viruses 2022; 16:1133-1140. [PMID: 35996836 PMCID: PMC9530548 DOI: 10.1111/irv.13040] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 07/11/2022] [Accepted: 07/16/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Acute respiratory infections (ARIs) result in millions of illnesses and hundreds of thousands of hospitalizations annually in the United States. The responsible viruses include influenza, parainfluenza, human metapneumovirus, coronaviruses, respiratory syncytial virus (RSV), and human rhinoviruses. This study estimated the population-based hospitalization burden of those respiratory viruses (RVs) over 4 years, from July 1, 2015 to June 30, 2019, among adults ≥18 years of age for Allegheny County (Pittsburgh), Pennsylvania. METHODS We used population-based statewide hospital discharge data, health system electronic medical record (EMR) data for RV tests, census data, and a published method to calculate burden. RESULTS Among 26,211 eligible RV tests, 67.6% were negative for any virus. The viruses detected were rhinovirus/enterovirus (2552; 30.1%), influenza A (2,299; 27.1%), RSV (1082; 12.7%), human metapneumovirus (832; 9.8%), parainfluenza (601; 7.1%), influenza B (565; 6.7%), non-SARS-CoV-2 coronavirus (420; 4.9% 1.5 years of data available), and adenovirus (136; 1.6%). Most tests were among female (58%) and White (71%) patients with 60% of patients ≥65 years, 24% 50-64 years, and 16% 18-49 years. The annual burden ranged from 137-174/100,000 population for rhinovirus/enterovirus; 99-182/100,000 for influenza A; and 56-81/100,000 for RSV. Among adults <65 years, rhinovirus/enterovirus hospitalization burden was higher than influenza A; whereas the reverse was true for adults ≥65 years. RV hospitalization burden increased with increasing age. CONCLUSIONS These virus-specific ARI population-based hospital burden estimates showed significant non-influenza burden. These estimates can serve as the basis for several areas of research that are essential for setting funding priorities and guiding public health policy.
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Affiliation(s)
- Richard K. Zimmerman
- Department of Family MedicineUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - G. K. Balasubramani
- Department of EpidemiologyUniversity of Pittsburgh School of Public HealthPittsburghPAUSA
| | - Helen E. A. D'Agostino
- Department of EpidemiologyUniversity of Pittsburgh School of Public HealthPittsburghPAUSA
| | - Lloyd Clarke
- Department of Pharmacy, Division of Infectious Diseases/Pharmacy DepartmentUPMC Health SystemPittsburghPAUSA
| | - Mohamed Yassin
- Infection Control DepartmentUPMC Mercy HospitalPittsburghPAUSA
| | | | - Fernanda P. Silveira
- Department of Medicine, Division of Infectious DiseasesUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Nicole D. Wheeler
- Department of Emergency MedicineUPMC Passavant HospitalPittsburghPAUSA
| | - Jonathan Landis
- Department of Emergency MedicineUPMC Passavant HospitalPittsburghPAUSA
| | - Alanna Peterson
- Department of Emergency MedicineUPMC Shadyside HospitalPittsburghPAUSA
| | - Joe Suyama
- Department of Emergency MedicineUPMC Magee‐Women's HospitalPittsburghPAUSA
| | - Alexandra Weissman
- Department of Emergency MedicineUPMC Magee‐Women's HospitalPittsburghPAUSA
| | - Mary Patricia Nowalk
- Department of Family MedicineUniversity of Pittsburgh School of MedicinePittsburghPAUSA
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Huang DT, McCreary EK, Bariola JR, Minnier TE, Wadas RJ, Shovel JA, Albin D, Marroquin OC, Kip KE, Collins K, Schmidhofer M, Wisniewski MK, Nace DA, Sullivan C, Axe M, Meyers R, Weissman A, Garrard W, Peck-Palmer OM, Wells A, Bart RD, Yang A, Berry LR, Berry S, Crawford AM, McGlothlin A, Khadem T, Linstrum K, Montgomery SK, Ricketts D, Kennedy JN, Pidro CJ, Nakayama A, Zapf RL, Kip PL, Haidar G, Snyder GM, McVerry BJ, Yealy DM, Angus DC, Seymour CW. Effectiveness of Casirivimab-Imdevimab and Sotrovimab During a SARS-CoV-2 Delta Variant Surge: A Cohort Study and Randomized Comparative Effectiveness Trial. JAMA Netw Open 2022; 5:e2220957. [PMID: 35834252 PMCID: PMC10881222 DOI: 10.1001/jamanetworkopen.2022.20957] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/17/2022] [Indexed: 11/14/2022] Open
Abstract
Importance The effectiveness of monoclonal antibodies (mAbs), casirivimab-imdevimab and sotrovimab, is unknown in patients with mild to moderate COVID-19 caused by the SARS-CoV-2 Delta variant. Objective To evaluate the effectiveness of mAb against the Delta variant compared with no mAb treatment and to ascertain the comparative effectiveness of casirivimab-imdevimab and sotrovimab. Design, Setting, and Participants This study comprised 2 parallel studies: (1) a propensity score-matched cohort study of mAb treatment vs no mAb treatment and (2) a randomized comparative effectiveness trial of casirivimab-imdevimab and sotrovimab. The cohort consisted of patients who received mAb treatment at the University of Pittsburgh Medical Center outpatient infusion centers and emergency departments from July 14 to September 29, 2021. Participants were patients with a positive SARS-CoV-2 test result who were eligible to receive mAbs according to emergency use authorization criteria. Exposure For the trial, patients were randomized to either intravenous casirivimab-imdevimab or sotrovimab according to a system therapeutic interchange policy. Main Outcomes and Measures For the cohort study, risk ratio (RR) estimates for the primary outcome of hospitalization or death by 28 days were compared between mAb treatment and no mAb treatment using propensity score-matched models. For the comparative effectiveness trial, the primary outcome was hospital-free days (days alive and free of hospitalization) within 28 days after mAb treatment, where patients who died were assigned -1 day in a bayesian cumulative logistic model adjusted for treatment location, age, sex, and time. Inferiority was defined as a 99% posterior probability of an odds ratio (OR) less than 1. Equivalence was defined as a 95% posterior probability that the OR was within a given bound. Results A total of 3069 patients (1023 received mAb treatment: mean [SD] age, 53.2 [16.4] years; 569 women [56%]; 2046 had no mAb treatment: mean [SD] age, 52.8 [19.5] years; 1157 women [57%]) were included in the prospective cohort study, and 3558 patients (mean [SD] age, 54 [18] years; 1919 women [54%]) were included in the randomized comparative effectiveness trial. In propensity score-matched models, mAb treatment was associated with reduced risk of hospitalization or death (RR, 0.40; 95% CI, 0.28-0.57) compared with no treatment. Both casirivimab-imdevimab (RR, 0.31; 95% CI, 0.20-0.50) and sotrovimab (RR, 0.60; 95% CI, 0.37-1.00) were associated with reduced hospitalization or death compared with no mAb treatment. In the clinical trial, 2454 patients were randomized to receive casirivimab-imdevimab and 1104 patients were randomized to receive sotrovimab. The median (IQR) hospital-free days were 28 (28-28) for both mAb treatments, the 28-day mortality rate was less than 1% (n = 12) for casirivimab-imdevimab and less than 1% (n = 7) for sotrovimab, and the hospitalization rate by day 28 was 12% (n = 291) for casirivimab-imdevimab and 13% (n = 140) for sotrovimab. Compared with patients who received casirivimab-imdevimab, those who received sotrovimab had a median adjusted OR for hospital-free days of 0.88 (95% credible interval, 0.70-1.11). This OR yielded 86% probability of inferiority for sotrovimab vs casirivimab-imdevimab and 79% probability of equivalence. Conclusions and Relevance In this propensity score-matched cohort study and randomized comparative effectiveness trial, the effectiveness of casirivimab-imdevimab and sotrovimab against the Delta variant was similar, although the prespecified criteria for statistical inferiority or equivalence were not met. Both mAb treatments were associated with a reduced risk of hospitalization or death in nonhospitalized patients with mild to moderate COVID-19 caused by the Delta variant. Trial Registration ClinicalTrials.gov Identifier: NCT04790786.
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Affiliation(s)
- David T. Huang
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Erin K. McCreary
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - J. Ryan Bariola
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tami E. Minnier
- Wolff Center, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania
| | - Richard J. Wadas
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Judith A. Shovel
- Wolff Center, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania
| | - Debbie Albin
- Supply Chain Management/HC Pharmacy, UPMC, Pittsburgh, Pennsylvania
| | | | - Kevin E. Kip
- Clinical Analytics, UPMC, Pittsburgh, Pennsylvania
| | | | - Mark Schmidhofer
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary Kay Wisniewski
- Wolff Center, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania
| | - David A. Nace
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Colleen Sullivan
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Meredith Axe
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Russell Meyers
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Octavia M. Peck-Palmer
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alan Wells
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Robert D. Bart
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health Services Division, UPMC, Pittsburgh, Pennsylvania
| | - Anne Yang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | | | | | | | - Tina Khadem
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Kelsey Linstrum
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Stephanie K. Montgomery
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Daniel Ricketts
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jason N. Kennedy
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Caroline J. Pidro
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Anna Nakayama
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Rachel L. Zapf
- Wolff Center, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania
| | - Paula L. Kip
- Wolff Center, University of Pittsburgh Medical Center (UPMC), Pittsburgh, Pennsylvania
| | - Ghady Haidar
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Graham M. Snyder
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Donald M. Yealy
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Derek C. Angus
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
| | - Christopher W. Seymour
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Health System Office of Healthcare Innovation, UPMC, Pittsburgh, Pennsylvania
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Barber E, Ganer Herman H, Kovo M, Tairy D, Schreiber L, Horowitz E, Weissman A, Weiner E, Raziel A. P-353 Placenta previa in In Vitro Fertilization and unassisted pregnancies – is there a difference in perinatal outcomes and placental histology? Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Why is In-vitro-fertilization (IVF) an independent risk factor for placenta previa (PP).
Summary answer
While PP in non-assisted pregnancies is probably associated with previous cesarean deliveries (CD), in IVF it is more “sporadic”, and may complicate any index pregnancy.
What is known already
PP is more prevalent following IVF pregnancies as compared with unassisted pregnancies, with an increased risk of three to six-fold according to some authors. The etiology for this increased risk in IVF pregnancies in unclear, and may be related to reproductive procedures performed or to subfertility characteristics which have led to IVF.
Study design, size, duration
A retrospective-cohort study of deliveries with PP between 2008 and 2021. A total of 182 pregnancies were included.
Participants/materials, setting, methods
Placental histopathology, obstetric and neonatal outcomes were compared between IVF and unassisted pregnancies. Included, were singleton deliveries complicated by PP at gestational weeks (GA)> 24. Placental pathology was obtained utilizing the well-accepted Amsterdam criteria.
Main results and the role of chance
Out of 182 pregnancies which were included - 23 IVF pregnancies (IVF group) and 159 in the unassisted pregnancies (Control group). The control group was characterized by higher gravidity (p = 0.007) and parity (p < 0.001), whereas the IVF group- by a higher rate of nulliparity (p < 0.001) and diabetes mellitus (p = 0.04). A higher rate of patients with past CDs was noted in unassisted pregnancies, although not statistically significance (38.9% versus 21.7%, p = 0.10). There was a trend for a lower placental weight in the control group, and a higher incidence of placental weight below the 10thpercentile in this group (47.8% versus 13.9%, p = 0.001). No differences were noted in maternal and fetal vascular lesions. Nevertheless, IVF and unassisted pregnancies entail similar perinatal outcomes in cases of PP.
Limitations, reasons for caution
A major limitation was our small sample size in the IVF group. Despite a power calculation, larger study groups would have possibly allowed for the demonstration of additional differences in outcomes, including previous cesarean deliveries and placenta accreta. Moreover, this limitation prevented us from matching against possible cofounders.
Wider implications of the findings
While a growing proportion of pregnancies worldwide are conceived by IVF, possible iatrogenic side effects should be studied. As PP is of clinical importance, it is essential to diagnose it on time, as well as study the mechanisms and risk factors behind it, which could possibly help with its prevention.
Trial registration number
0282-20-WOMC
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Affiliation(s)
- E Barber
- Tel Aviv university, OBGYN , 5834468, Israel
| | - H Ganer Herman
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
| | - M Kovo
- Tel Aviv university, Obstetrics and gynecology , Tel Aviv, Israel
| | - D Tairy
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
| | - L Schreiber
- Wolfson medical center , Pathology, Holon, Israel
| | - E Horowitz
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
| | - A Weissman
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
| | - E Weiner
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
| | - A Raziel
- Wolfson medical center, Obstetrics and gynecology , Holon, Israel
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McCreary EK, Bariola JR, Minnier TE, Wadas RJ, Shovel JA, Albin D, Marroquin OC, Kip KE, Collins K, Schmidhofer M, Wisniewski MK, Nace DA, Sullivan C, Axe M, Meyers R, Weissman A, Garrard W, Peck-Palmer OM, Wells A, Bart RD, Yang A, Berry LR, Berry S, Crawford AM, McGlothlin A, Khadem T, Linstrum K, Montgomery SK, Ricketts D, Kennedy JN, Pidro CJ, Haidar G, Snyder GM, McVerry BJ, Yealy DM, Angus DC, Nakayama A, Zapf RL, Kip PL, Seymour CW, Huang DT. The comparative effectiveness of COVID-19 monoclonal antibodies: A learning health system randomized clinical trial. Contemp Clin Trials 2022; 119:106822. [PMID: 35697146 PMCID: PMC9187853 DOI: 10.1016/j.cct.2022.106822] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/09/2022] [Accepted: 06/06/2022] [Indexed: 11/28/2022]
Abstract
Background Monoclonal antibodies (mAb) that neutralize SARS-CoV-2 decrease hospitalization and death compared to placebo in patients with mild to moderate COVID-19; however, comparative effectiveness is unknown. We report the comparative effectiveness of bamlanivimab, bamlanivimab-etesevimab, and casirivimab-imdevimab. Methods A learning health system platform trial in a U.S. health system enrolled patients meeting mAb Emergency Use Authorization criteria. An electronic health record-embedded application linked local mAb inventory to patient encounters and provided random mAb allocation. Primary outcome was hospital-free days to day 28. Primary analysis was a Bayesian model adjusting for treatment location, age, sex, and time. Inferiority was defined as 99% posterior probability of an odds ratio < 1. Equivalence was defined as 95% posterior probability the odds ratio is within a given bound. Findings Between March 10 and June 25, 2021, 1935 patients received treatment. Median hospital-free days were 28 (IQR 28, 28) for each mAb. Mortality was 0.8% (1/128), 0.8% (7/885), and 0.7% (6/922) for bamlanivimab, bamlanivimab-etesevimab, and casirivimab-imdevimab, respectively. Relative to casirivimab-imdevimab (n = 922), median adjusted odds ratios were 0.58 (95% credible interval [CI] 0.30–1.16) and 0.94 (95% CI 0.72–1.24) for bamlanivimab (n = 128) and bamlanivimab-etesevimab (n = 885), respectively. These odds ratios yielded 91% and 94% probabilities of inferiority of bamlanivimab versus bamlanivimab-etesevimab and casirivimab-imdevimab, and an 86% probability of equivalence between bamlanivimab-etesevimab and casirivimab-imdevimab. Interpretation Among patients with mild to moderate COVID-19, bamlanivimab-etesevimab or casirivimab-imdevimab treatment resulted in 86% probability of equivalence. No treatment met prespecified criteria for statistical equivalence. Median hospital-free days to day 28 were 28 (IQR 28, 28) for each mAb. Funding and registration This work received no external funding. The U.S. government provided the reported mAb. This trial is registered at ClinicalTrials.gov, NCT04790786.
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Affiliation(s)
- Erin K McCreary
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - J Ryan Bariola
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tami E Minnier
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Richard J Wadas
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Judith A Shovel
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Debbie Albin
- Supply Chain Management/HC Pharmacy, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Oscar C Marroquin
- Clinical Analytics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kevin E Kip
- Clinical Analytics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kevin Collins
- Clinical Analytics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Mark Schmidhofer
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - David A Nace
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Colleen Sullivan
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Meredith Axe
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Russell Meyers
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - William Garrard
- Clinical Analytics, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Octavia M Peck-Palmer
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alan Wells
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Robert D Bart
- Health Services Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anne Yang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | | | | | | | - Tina Khadem
- Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kelsey Linstrum
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Stephanie K Montgomery
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Daniel Ricketts
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jason N Kennedy
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Caroline J Pidro
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Ghady Haidar
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Graham M Snyder
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Donald M Yealy
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Derek C Angus
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anna Nakayama
- Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rachel L Zapf
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Paula L Kip
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Christopher W Seymour
- Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Health System Office of Healthcare Innovation, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David T Huang
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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Stas J, Arias CA, Bachur R, Esposito S, Halabi S, Kaplan SK, Klein A, Motov SM, Rothman R, Ryan LM, Shiber S, Tenenbaum T, Weissman A. O02 TRAIL, IP-10, CRP host-protein signature score distinguishes between viral and bacterial infection in sepsis patients. JAC Antimicrob Resist 2022. [PMCID: PMC9155990 DOI: 10.1093/jacamr/dlac052.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background Sepsis is a life-threatening organ dysfunction syndrome caused by the body's response to infection. Timely and appropriate sepsis management, including appropriate treatment of bacterial infection, improves outcomes. MeMed BV (BV), a test for differentiating between bacterial and viral infection, is based on computational integration of the circulating levels of three proteins (TRAIL, IP-10, CRP). Here we evaluate its ability to differentiate bacterial from viral infection in sepsis patients. Methods This was a sub-analysis of sepsis patients recruited prospectively in the Apollo study (NCT04690569). Apollo eligibility required the attending physician's clinical suspicion of acute infection and reported fever. Sepsis was defined as two or more SIRS criteria and a suspected bacterial or viral infection classified by expert adjudication. A bacterial or viral classification required at least 2/3 experts to assign the same aetiology label with confidence ≥90% or all 3 assign with confidence ≥70%. BV was measured using a platform generating a bacterial likelihood score (0–100). Based on pre-defined thresholds, scores 0–34 indicated viral (or other non-bacterial) infection, scores 35 to 65 were equivocal and 66–100 indicated bacterial infection (or coinfection). BV performance was assessed against expert panel classifications. Results Seventy-nine out of 1016 eligible Apollo patients had missing heart rate and respiration rate data and a further 136 could not be classified by the experts. Out of the remaining 801 patients, 217 adults with median age of 41.8 years (IQR: 29.2–61) and 149 children with median age of 2.4 years (IQR: 1.4–5.4) had two or more SIRS criteria. A total of 119 patients had at least three SIRS criteria and 39.6% (145/366) of the patients were hospitalized with a median duration of 4 days (IQR: 3–6 days). In the sepsis cohort, 91 patients were classified as bacterial and 275 as viral. BV yielded sensitivity and specificity of 98.8% (95% CI: 93.6%–100%) and 89.7% (95% CI: 85.3%–93.2%) and NPV of 99.6% (95% CI: 97%–99.9%), outperforming PCT [cut-off 0.5 ng/mL; sensitivity 52.8% (95% CI: 42%–63.3%); specificity 86.2% (95% CI: 81.5%–90%); NPV 84.6% (95% CI: 81.5%–87.3%)]. Conclusions BV accurately distinguished bacterial from viral infection in sepsis patients. This new triage tool has the potential to help with timely identification of bacterial infection, enabling prompt treatment.
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Affiliation(s)
| | - Cesar A Arias
- University of Texas Health Science Center at Houston (UTHealth) , 6431 Fannin St, Houston, TX 77030, USA
- Houston Methodist Hospital , 6560 Fannin St., Houston, TX 77030, USA
| | - Richard Bachur
- Boston Children’s Hospital , 300 Longwood Ave GL 140, Boston, MA 02115, USA
| | - Susanna Esposito
- Pietro Barilla Children’s Hospital, Department of Medicine and Surgery, University of Parma Pediatric Clinic, , Parma, Italy
| | - Salim Halabi
- Carmel Medical Center , Mikhal St. 7, Haifa, 3436212, Israel
| | - Sheldon K Kaplan
- Texas Children's Hospital, Feigin Center , 1102 Bates Avenue, Houston, TX 77030, USA
| | - Adi Klein
- Hillel Yaffe Medical Center , Ha-Shalom St., Hadera 38100, Israel
| | - Sergey M Motov
- Maimonides Medical Center , Emergency Medicine 965 48th Street, Brooklyn, NY 11219, USA
| | - Richard Rothman
- Johns Hopkins University , 1800 Orleans Street, Sheikh Zayed Tower, Baltimore, MD 21209, USA
| | - Leticia M Ryan
- Johns Hopkins University , 1800 Orleans Street, Sheikh Zayed Tower, Baltimore, MD 21209, USA
| | - Shachaf Shiber
- Rabin Medical Center , Zeev Jabotinsky St 39, Petah Tikva, 49100, Israel
| | - Tobias Tenenbaum
- Sana Klinikum Lichtenberg , Fanningerstraße 32, 10365 Berlin, Germany
| | - Alexandra Weissman
- University of Pittsburgh Medical Center , 3550 Terrace Street, Pittsburgh, PA 15261, USA
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15
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Study A, Rothman R, Kaplan S, Arias C, Motov S, Weissman A, Halabi S, Ryan L, Klein A, Bachur R. 120 A Rapid Host-Protein Signature Based on TRAIL, IP-10 and CRP Permits Accurate Differentiation of Bacterial and Viral Infection in Febrile Patients Presenting to the Emergency Department: Apollo Sub-study. Ann Emerg Med 2021. [DOI: 10.1016/j.annemergmed.2021.09.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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16
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Mizrachi Y, Horowitz E, Gane. Herman H, Farhi J, Raziel A, Weissman A. P–649 Should women receive luteal support following natural cycle frozen embryo transfer? A systematic review and meta-analysis. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Should women receive luteal phase support (LPS) following natural cycle frozen embryo transfer (NC-FET)?
Summary answer
Progesterone LPS following NC-FET increases the live birth rate. There is no evidence to support the administration of hCG for LPS in these cases.
What is known already
Whether or not women should receive LPS following NC-FET is highly controversial. Previous studies have shown conflicting results.
Study design, size, duration
We conducted a systematic search of the literature published in Medline/PubMed, Embase and the Cochrane Library, from January 2000 until December 2020. We included all original English, peer-reviewed articles, irrespective of study-design. The search strategy included keywords related to natural cycle frozen embryo transfer and luteal phase support. Studies reporting the results of artificial or stimulated FET cycles were excluded.
Participants/materials, setting, methods
Our systematic search generated 395 records. After screening, eight studies were included in the review and seven studies were included in the meta-analysis. Two studies (n = 858) used hCG, and 6 studies (n = 1507) used progesterone for luteal support. Four studies were randomized controlled trials (RCTs), whereas the other four were historic cohort studies.
Main results and the role of chance
In a meta-analysis using random effects model, hCG administration for LPS did not increase the clinical pregnancy rate (two studies, OR 0.85, 95% CI 0.64–1.14). On the other hand, progesterone LPS was associated with a higher clinical pregnancy rate (five studies, OR 1.48, 95% CI 1.14–1.94), and a higher live birth rate (three studies, OR 1.67, 95% CI 1.19–2.36).
Limitations, reasons for caution
There was large heterogeneity in progesterone dose and route of administration, as well as the methods used for ovulation detection and triggering. Moreover, only four studies were randomized. Finally, both studies examining the use of hCG for LPS were performed by the same group of researchers in a single center.
Wider implications of the findings: The available evidence indicates that progesterone administration for LPS is beneficial following natural cycle frozen embryo transfer. There is no evidence to support the administration of hCG for LPS in these cases. Additional Large RCTs are necessary in order to improve the quality of evidence and validate our findings.
Trial registration number
PROSPERO ID: CRD42020199045
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Affiliation(s)
- Y Mizrachi
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
| | - E Horowitz
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
| | - H Gane. Herman
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
| | - J Farhi
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
| | - A Raziel
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
| | - A Weissman
- IVF Unit, Obstetrics and Gynecology- the Edith Wolfson Medical Center, Holon, Israel
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17
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Rittenberger JC, Weissman A, Flickinger KL, Guyette FX, Hopkins D, Repine MJ, Dezfulian C, Doshi AA, Elmer J, Sawyer KN, Callaway CW. Glycopyrrolate does not ameliorate hypothermia associated bradycardia in healthy individuals: A randomized crossover trial. Resuscitation 2021; 164:79-83. [PMID: 34087418 DOI: 10.1016/j.resuscitation.2021.05.020] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/14/2021] [Accepted: 05/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Hypothermia improves outcomes following ischemia-reperfusion injury. Shivering is common and can be mediated by agents such as dexmedetomidine. The combination of dexmedetomidine and hypothermia results in bradycardia. We hypothesized that glycopyrrolate would prevent bradycardia during dexmedetomidine-mediated hypothermia. METHODS We randomly assigned eight healthy subjects to premedication with a single 0.4 mg glycopyrrolate intravenous (IV) bolus, titrated glycopyrrolate (0.01 mg IV every 3 min as needed for heart rate <50), or no glycopyrrolate during three separate sessions of 3 h cooling. Following 1 mg/kg IV dexmedetomidine bolus, subjects received 20 ml/kg IV 4 °C saline and surface cooling (EM COOLS, Weinerdorf, Austria). We titrated dexmedetomidine infusion to suppress shivering but permit arousal to verbal stimuli. After 3 h of cooling, we allowed subjects to passively rewarm. We compared heart rate, core temperature, mean arterial blood pressure, perceived comfort and thermal sensation between groups using Kruskal-Wallis test and ANOVA. RESULTS Mean age was 27 (SD 6) years and most (N = 6, 75%) were male. Neither heart rate nor core temperature differed between the groups during maintenance of hypothermia (p > 0.05). Mean arterial blood pressure was higher in the glycopyrrolate bolus condition (p < 0.048). Thermal sensation was higher in the control condition than the glycopyrrolate bolus condition (p = 0.01). Bolus glycopyrrolate resulted in less discomfort than titrated glycopyrrolate (p = 0.04). CONCLUSIONS Glycopyrrolate did not prevent the bradycardic response to hypothermia and dexmedetomidine. Mean arterial blood pressure was higher in subjects receiving a bolus of glycopyrrolate before induction of hypothermia. Bolus glycopyrrolate was associated with less intense thermal sensation and less discomfort during cooling.
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Affiliation(s)
- Jon C Rittenberger
- Robert Packer Hospital Emergency Medicine Residency, Sayre, PA, United States; Geisinger Commonwealth School of Medicine, Scranton, PA, United States; University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States.
| | - Alexandra Weissman
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - Katharyn L Flickinger
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - Francis X Guyette
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - David Hopkins
- Geisinger Commonwealth School of Medicine, Scranton, PA, United States
| | - Melissa J Repine
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - Cameron Dezfulian
- University of Pittsburgh Department of Critical Care Medicine, Pittsburgh, PA, United States
| | - Ankur A Doshi
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - Jonathan Elmer
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States; University of Pittsburgh Department of Critical Care Medicine, Pittsburgh, PA, United States
| | - Kelly N Sawyer
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
| | - Clifton W Callaway
- University of Pittsburgh Department of Emergency Medicine, Pittsburgh, PA, United States
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18
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Huang DT, McCreary EK, Bariola JR, Wadas RJ, Kip KE, Marroquin OC, Koscumb S, Collins K, Shovel JA, Schmidhofer M, Wisniewski MK, Sullivan C, Yealy DM, Axe M, Nace DA, Haidar G, Khadem T, Linstrum K, Snyder GM, Seymour CW, Montgomery SK, McVerry BJ, Berry L, Berry S, Meyers R, Weissman A, Peck-Palmer OM, Wells A, Bart R, Albin DL, Minnier T, Angus DC. The UPMC OPTIMISE-C19 (OPtimizing Treatment and Impact of Monoclonal antIbodieS through Evaluation for COVID-19) trial: a structured summary of a study protocol for an open-label, pragmatic, comparative effectiveness platform trial with response-adaptive randomization. Trials 2021; 22:363. [PMID: 34034784 PMCID: PMC8144687 DOI: 10.1186/s13063-021-05316-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 05/06/2021] [Indexed: 11/11/2022] Open
Abstract
Objectives The primary objective is to evaluate the comparative effectiveness of COVID-19 specific monoclonal antibodies (mABs) with US Food and Drug Administration (FDA) Emergency Use Authorization (EUA), alongside UPMC Health System efforts to increase patient access to these mABs. Trial design Open-label, pragmatic, comparative effectiveness platform trial with response-adaptive randomization Participants We will evaluate patients who meet the eligibility criteria stipulated by the COVID-19 mAB EUAs who receive mABs within the UPMC Health System, including infusion centers and emergency departments. EUA eligibility criteria include patients with mild to moderate COVID-19, <10 days of symptoms, and who are at high risk for progressing to severe COVID-19 and/or hospitalization (elderly, obese, and/or with specific comorbidities). The EUA criteria exclude patients who require oxygen for the treatment of COVID-19 and patients already hospitalized for the treatment of COVID-19. We will use data collected for routine clinical care, including data entered into the electronic medical record and from follow-up calls. Intervention and comparator The interventions are the COVID-19 specific mABs authorized by the EUAs. All aspects of mAB treatment, including eligibility criteria, dosing, and post-infusion monitoring, are as per the EUAs. As a comparative effectiveness trial, all patients receive mAB treatment, and the interventions are compared against each other. When U.S. government mAB policies change (e.g., FDA grants or revokes EUAs), UPMC Health System policies and the evaluated mAB interventions will accordingly change. From November 2020 to February 2021, FDA issued EUAs for three mAB treatments (bamlanivimab; bamlanivimab and etesevimab; and casirivimab and imdevimab), and at trial launch on March 10, 2021 we evaluated all three. Due to a sustained increase in SARS-CoV-2 variants in the United States resistant to bamlanivimab administered alone, on March 24, 2021 the U.S. Government halted distribution of bamlanivimab alone, and UPMC accordingly halted bamlanivimab monotherapy on March 31, 2021. On April 16, 2021, FDA revoked the EUA for bamlanivimab monotherapy. At the time of manuscript submission, we are therefore evaluating the two mAB treatments authorized by EUAs (bamlanivimab and etesevimab; and casirivimab and imdevimab). Main outcomes The primary outcome is total hospital free days (HFD) at 28 days after mAB administration, calculated as 28 minus the number of days during the index stay (if applicable – e.g., for patients admitted to hospital after mAB administration in the emergency department) minus the number of days readmitted during the 28 days after treatment. This composite endpoint captures the number of days from the day of mAB administration to the 28 days thereafter, during which the patient is alive and free of hospitalization. Death within 28 days is recorded as -1 HFD, as the worst outcome. Randomisation We will start with equal allocation. Due to uncertainty in sample size, we will use a Bayesian adaptive design and response adaptive randomization to ensure ability to provide statistical inference despite variable sample size. When mABs are ordered by UPMC physicians as a generic referral order, the order is filled by UPMC pharmacy via therapeutic interchange. OPTIMISE-C19 provides the therapeutic interchange via random allocation. Infusion center operations teams and pharmacists use a mAB assignment application embedded in the electronic medical record to determine the random allocation. Blinding (masking) This trial is open-label. However, outcome assessors conducting follow-up calls at day 28 are blinded to mAB assignment, and investigators are blinded to by-mAB aggregate outcome data until a statistical platform trial conclusion is reached. Numbers to be randomised (sample size) Sample size will be determined by case volume throughout the course of the pandemic, supply of FDA authorized mABs, and by that needed to reach a platform trial conclusion of inferiority, superiority, or futility of a given mAB. The trial will continue as long as more than one mAB type is available under EUA, and their comparative effectiveness is uncertain. Trial Status Protocol Version 1.0, February 24, 2021. Recruitment began March 10, 2021 and is ongoing at the time of manuscript submission. The estimated recruitment end date is February 22, 2022, though the final end date is dependent on how the pandemic evolves, mAB availability, and when final platform trial conclusions are reached. As noted above, due to U.S. Government decisions, UPMC Health System halted bamlanivimab monotherapy on March 31, 2021. Trial registration ClinicalTrials.gov Identifier: NCT04790786. Registered March 10, 2021 Full protocol The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-021-05316-3.
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Affiliation(s)
- David T Huang
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA. .,Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Erin K McCreary
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - J Ryan Bariola
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Richard J Wadas
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA
| | - Kevin E Kip
- Clinical Analytics, UPMC, Pittsburgh, PA, USA
| | | | | | | | | | - Mark Schmidhofer
- Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Colleen Sullivan
- UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA
| | - Donald M Yealy
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA
| | - Meredith Axe
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA
| | - David A Nace
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ghady Haidar
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tina Khadem
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelsey Linstrum
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA
| | - Graham M Snyder
- Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christopher W Seymour
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA
| | - Stephanie K Montgomery
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA
| | - Bryan J McVerry
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | | | - Russell Meyers
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh School of Medicine, 606B Scaife Hall, Pittsburgh, PA, 15213, USA
| | - Octavia M Peck-Palmer
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alan Wells
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Robert Bart
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,UPMC Health Services Division, Pittsburgh, PA, USA
| | - Debbie L Albin
- UPMC Supply Chain Management/HC Pharmacy, Pittsburgh, PA, USA
| | | | - Derek C Angus
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA
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19
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Dawood FS, Varner M, Munoz F, Stockwell MS, Suyama J, Li DK, Tita A, Mathias L, Shakib JH, Piedra PA, Gyamfi-Bannerman C, Weissman A, Ferber J, Battarbee AN, Wesley MG, Vorwaller K, Powers E, Gibson M, Bond N, Santarcangelo P, Avadhanula V, Newes-Adeyi G, Hunt DR, Subramaniam A, Sanusi A, Boone A, Ogokeh C, Macio I, Odouli R, Thind P, Vargas CY, Almonte C, Galang R, Shapiro-Mendoza C, Campbell AP. Respiratory Viral Infections and Infection Prevention Practices among Women with Acute Respiratory Illness during Delivery Hospitalizations during the 2019-2020 Influenza Season. J Infect Dis 2021; 225:50-54. [PMID: 34037764 DOI: 10.1093/infdis/jiab292] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 05/21/2021] [Indexed: 11/12/2022] Open
Abstract
We conducted a cross-sectional study of pregnant women with acute respiratory illness during delivery hospitalizations in influenza season to describe clinical testing for respiratory viruses and infection prevention practices. Women had nasal swabs tested for influenza and other respiratory viruses. Among 91 enrolled women, 22 (24%) had clinical testing for influenza. Based on clinical and study testing combined, 41/91 (45%) women had samples positive for respiratory viruses. The most common virus was influenza (17/91, 19%); 53% (9/17) of influenza virus infections were identified through study testing alone. Only 16% of women were on droplet precautions. Peripartum respiratory infections may be underrecognized.
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Affiliation(s)
- Fatimah S Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Michael Varner
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
| | - Flor Munoz
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Melissa S Stockwell
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.,Department of Population and Family Health, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY, USA.,New York-Presbyterian Hospital, New York, NY, USA
| | - Joe Suyama
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - De-Kun Li
- Division of Research, Kaiser Foundation Research Institute, Kaiser Permanente, Oakland, CA, USA
| | - Alan Tita
- Center for Women's Reproductive Health and Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Julie H Shakib
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
| | - Pedro A Piedra
- Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.,Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Cynthia Gyamfi-Bannerman
- New York-Presbyterian Hospital, New York, NY, USA.,Department of OBGYN, Division of Maternal-Fetal Medicine, Columbia University Irving Medical Center, USA
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jeannette Ferber
- Division of Research, Kaiser Foundation Research Institute, Kaiser Permanente, Oakland, CA, USA
| | - Ashley N Battarbee
- Center for Women's Reproductive Health and Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Kelly Vorwaller
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
| | - Emily Powers
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
| | - Marie Gibson
- Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah, USA
| | - Nanette Bond
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Patricia Santarcangelo
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Vasanthi Avadhanula
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Akila Subramaniam
- Center for Women's Reproductive Health and Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ayodeji Sanusi
- Center for Women's Reproductive Health and Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Amy Boone
- Center for Women's Reproductive Health and Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Constance Ogokeh
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ingrid Macio
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Roxana Odouli
- Division of Research, Kaiser Foundation Research Institute, Kaiser Permanente, Oakland, CA, USA
| | - Priyam Thind
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Celibell Y Vargas
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Casandra Almonte
- Department of OBGYN, Division of Maternal-Fetal Medicine, Columbia University Irving Medical Center, USA
| | - Romeo Galang
- Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Carrie Shapiro-Mendoza
- Division of Reproductive Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Angela P Campbell
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
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20
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Self WH, Semler MW, Leither LM, Casey JD, Angus DC, Brower RG, Chang SY, Collins SP, Eppensteiner JC, Filbin MR, Files DC, Gibbs KW, Ginde AA, Gong MN, Harrell FE, Hayden DL, Hough CL, Johnson NJ, Khan A, Lindsell CJ, Matthay MA, Moss M, Park PK, Rice TW, Robinson BRH, Schoenfeld DA, Shapiro NI, Steingrub JS, Ulysse CA, Weissman A, Yealy DM, Thompson BT, Brown SM. Effect of Hydroxychloroquine on Clinical Status at 14 Days in Hospitalized Patients With COVID-19: A Randomized Clinical Trial. JAMA 2020; 324:2165-2176. [PMID: 33165621 PMCID: PMC7653542 DOI: 10.1001/jama.2020.22240] [Citation(s) in RCA: 291] [Impact Index Per Article: 72.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 10/26/2020] [Indexed: 12/22/2022]
Abstract
Importance Data on the efficacy of hydroxychloroquine for the treatment of coronavirus disease 2019 (COVID-19) are needed. Objective To determine whether hydroxychloroquine is an efficacious treatment for adults hospitalized with COVID-19. Design, Setting, and Participants This was a multicenter, blinded, placebo-controlled randomized trial conducted at 34 hospitals in the US. Adults hospitalized with respiratory symptoms from severe acute respiratory syndrome coronavirus 2 infection were enrolled between April 2 and June 19, 2020, with the last outcome assessment on July 17, 2020. The planned sample size was 510 patients, with interim analyses planned after every 102 patients were enrolled. The trial was stopped at the fourth interim analysis for futility with a sample size of 479 patients. Interventions Patients were randomly assigned to hydroxychloroquine (400 mg twice daily for 2 doses, then 200 mg twice daily for 8 doses) (n = 242) or placebo (n = 237). Main Outcomes and Measures The primary outcome was clinical status 14 days after randomization as assessed with a 7-category ordinal scale ranging from 1 (death) to 7 (discharged from the hospital and able to perform normal activities). The primary outcome was analyzed with a multivariable proportional odds model, with an adjusted odds ratio (aOR) greater than 1.0 indicating more favorable outcomes with hydroxychloroquine than placebo. The trial included 12 secondary outcomes, including 28-day mortality. Results Among 479 patients who were randomized (median age, 57 years; 44.3% female; 37.2% Hispanic/Latinx; 23.4% Black; 20.1% in the intensive care unit; 46.8% receiving supplemental oxygen without positive pressure; 11.5% receiving noninvasive ventilation or nasal high-flow oxygen; and 6.7% receiving invasive mechanical ventilation or extracorporeal membrane oxygenation), 433 (90.4%) completed the primary outcome assessment at 14 days and the remainder had clinical status imputed. The median duration of symptoms prior to randomization was 5 days (interquartile range [IQR], 3 to 7 days). Clinical status on the ordinal outcome scale at 14 days did not significantly differ between the hydroxychloroquine and placebo groups (median [IQR] score, 6 [4-7] vs 6 [4-7]; aOR, 1.02 [95% CI, 0.73 to 1.42]). None of the 12 secondary outcomes were significantly different between groups. At 28 days after randomization, 25 of 241 patients (10.4%) in the hydroxychloroquine group and 25 of 236 (10.6%) in the placebo group had died (absolute difference, -0.2% [95% CI, -5.7% to 5.3%]; aOR, 1.07 [95% CI, 0.54 to 2.09]). Conclusions and Relevance Among adults hospitalized with respiratory illness from COVID-19, treatment with hydroxychloroquine, compared with placebo, did not significantly improve clinical status at day 14. These findings do not support the use of hydroxychloroquine for treatment of COVID-19 among hospitalized adults. Trial Registration ClinicalTrials.gov: NCT04332991.
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Affiliation(s)
- Wesley H. Self
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Matthew W. Semler
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Lindsay M. Leither
- Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah
- University of Utah, Salt Lake City
| | - Jonathan D. Casey
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Derek C. Angus
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Roy G. Brower
- Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Steven Y. Chang
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine at UCLA, Ronald Reagan–UCLA Medical Center, Los Angeles, California
| | - Sean P. Collins
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Michael R. Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - D. Clark Files
- Section of Pulmonary, Critical Care, Allergy and Immunologic Disease, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kevin W. Gibbs
- Section of Pulmonary, Critical Care, Allergy and Immunologic Disease, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Adit A. Ginde
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora
| | - Michelle N. Gong
- Division of Epidemiology and Population Health, Department of Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York
| | - Frank E. Harrell
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | - Catherine L. Hough
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health and Science University School of Medicine, Portland
| | - Nicholas J. Johnson
- Department of Emergency Medicine and Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle
| | - Akram Khan
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health and Science University School of Medicine, Portland
| | | | - Michael A. Matthay
- Cardiovascular Research Institute, Departments of Medicine and Anesthesia, University of California, San Francisco
| | - Marc Moss
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora
| | | | - Todd W. Rice
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | - Nathan I. Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Jay S. Steingrub
- Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield
| | | | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Donald M. Yealy
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - B. Taylor Thompson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston
| | - Samuel M. Brown
- Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah
- University of Utah, Salt Lake City
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21
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Angus DC, Derde L, Al-Beidh F, Annane D, Arabi Y, Beane A, van Bentum-Puijk W, Berry L, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Buzgau A, Cheng AC, de Jong M, Detry M, Estcourt L, Fitzgerald M, Goossens H, Green C, Haniffa R, Higgins AM, Horvat C, Hullegie SJ, Kruger P, Lamontagne F, Lawler PR, Linstrum K, Litton E, Lorenzi E, Marshall J, McAuley D, McGlothin A, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Parker J, Rowan K, Sanil A, Santos M, Saunders C, Seymour C, Turner A, van de Veerdonk F, Venkatesh B, Zarychanski R, Berry S, Lewis RJ, McArthur C, Webb SA, Gordon AC, Al-Beidh F, Angus D, Annane D, Arabi Y, van Bentum-Puijk W, Berry S, Beane A, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Cheng A, De Jong M, Derde L, Estcourt L, Goossens H, Gordon A, Green C, Haniffa R, Lamontagne F, Lawler P, Litton E, Marshall J, McArthur C, McAuley D, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Rowan K, Seymour C, Turner A, van de Veerdonk F, Webb S, Zarychanski R, Campbell L, Forbes A, Gattas D, Heritier S, Higgins L, Kruger P, Peake S, Presneill J, Seppelt I, Trapani T, Young P, Bagshaw S, Daneman N, Ferguson N, Misak C, Santos M, Hullegie S, Pletz M, Rohde G, Rowan K, Alexander B, Basile K, Girard T, Horvat C, Huang D, Linstrum K, Vates J, Beasley R, Fowler R, McGloughlin S, Morpeth S, Paterson D, Venkatesh B, Uyeki T, Baillie K, Duffy E, Fowler R, Hills T, Orr K, Patanwala A, Tong S, Netea M, Bihari S, Carrier M, Fergusson D, Goligher E, Haidar G, Hunt B, Kumar A, Laffan M, Lawless P, Lother S, McCallum P, Middeldopr S, McQuilten Z, Neal M, Pasi J, Schutgens R, Stanworth S, Turgeon A, Weissman A, Adhikari N, Anstey M, Brant E, de Man A, Lamonagne F, Masse MH, Udy A, Arnold D, Begin P, Charlewood R, Chasse M, Coyne M, Cooper J, Daly J, Gosbell I, Harvala-Simmonds H, Hills T, MacLennan S, Menon D, McDyer J, Pridee N, Roberts D, Shankar-Hari M, Thomas H, Tinmouth A, Triulzi D, Walsh T, Wood E, Calfee C, O’Kane C, Shyamsundar M, Sinha P, Thompson T, Young I, Bihari S, Hodgson C, Laffey J, McAuley D, Orford N, Neto A, Detry M, Fitzgerald M, Lewis R, McGlothlin A, Sanil A, Saunders C, Berry L, Lorenzi E, Miller E, Singh V, Zammit C, van Bentum Puijk W, Bouwman W, Mangindaan Y, Parker L, Peters S, Rietveld I, Raymakers K, Ganpat R, Brillinger N, Markgraf R, Ainscough K, Brickell K, Anjum A, Lane JB, Richards-Belle A, Saull M, Wiley D, Bion J, Connor J, Gates S, Manax V, van der Poll T, Reynolds J, van Beurden M, Effelaar E, Schotsman J, Boyd C, Harland C, Shearer A, Wren J, Clermont G, Garrard W, Kalchthaler K, King A, Ricketts D, Malakoutis S, Marroquin O, Music E, Quinn K, Cate H, Pearson K, Collins J, Hanson J, Williams P, Jackson S, Asghar A, Dyas S, Sutu M, Murphy S, Williamson D, Mguni N, Potter A, Porter D, Goodwin J, Rook C, Harrison S, Williams H, Campbell H, Lomme K, Williamson J, Sheffield J, van’t Hoff W, McCracken P, Young M, Board J, Mart E, Knott C, Smith J, Boschert C, Affleck J, Ramanan M, D’Souza R, Pateman K, Shakih A, Cheung W, Kol M, Wong H, Shah A, Wagh A, Simpson J, Duke G, Chan P, Cartner B, Hunter S, Laver R, Shrestha T, Regli A, Pellicano A, McCullough J, Tallott M, Kumar N, Panwar R, Brinkerhoff G, Koppen C, Cazzola F, Brain M, Mineall S, Fischer R, Biradar V, Soar N, White H, Estensen K, Morrison L, Smith J, Cooper M, Health M, Shehabi Y, Al-Bassam W, Hulley A, Whitehead C, Lowrey J, Gresha R, Walsham J, Meyer J, Harward M, Venz E, Williams P, Kurenda C, Smith K, Smith M, Garcia R, Barge D, Byrne D, Byrne K, Driscoll A, Fortune L, Janin P, Yarad E, Hammond N, Bass F, Ashelford A, Waterson S, Wedd S, McNamara R, Buhr H, Coles J, Schweikert S, Wibrow B, Rauniyar R, Myers E, Fysh E, Dawda A, Mevavala B, Litton E, Ferrier J, Nair P, Buscher H, Reynolds C, Santamaria J, Barbazza L, Homes J, Smith R, Murray L, Brailsford J, Forbes L, Maguire T, Mariappa V, Smith J, Simpson S, Maiden M, Bone A, Horton M, Salerno T, Sterba M, Geng W, Depuydt P, De Waele J, De Bus L, Fierens J, Bracke S, Reeve B, Dechert W, Chassé M, Carrier FM, Boumahni D, Benettaib F, Ghamraoui A, Bellemare D, Cloutier È, Francoeur C, Lamontagne F, D’Aragon F, Carbonneau E, Leblond J, Vazquez-Grande G, Marten N, Wilson M, Albert M, Serri K, Cavayas A, Duplaix M, Williams V, Rochwerg B, Karachi T, Oczkowski S, Centofanti J, Millen T, Duan E, Tsang J, Patterson L, English S, Watpool I, Porteous R, Miezitis S, McIntyre L, Brochard L, Burns K, Sandhu G, Khalid I, Binnie A, Powell E, McMillan A, Luk T, Aref N, Andric Z, Cviljevic S, Đimoti R, Zapalac M, Mirković G, Baršić B, Kutleša M, Kotarski V, Vujaklija Brajković A, Babel J, Sever H, Dragija L, Kušan I, Vaara S, Pettilä L, Heinonen J, Kuitunen A, Karlsson S, Vahtera A, Kiiski H, Ristimäki S, Azaiz A, Charron C, Godement M, Geri G, Vieillard-Baron A, Pourcine F, Monchi M, Luis D, Mercier R, Sagnier A, Verrier N, Caplin C, Siami S, Aparicio C, Vautier S, Jeblaoui A, Fartoukh M, Courtin L, Labbe V, Leparco C, Muller G, Nay MA, Kamel T, Benzekri D, Jacquier S, Mercier E, Chartier D, Salmon C, Dequin P, Schneider F, Morel G, L’Hotellier S, Badie J, Berdaguer FD, Malfroy S, Mezher C, Bourgoin C, Megarbane B, Voicu S, Deye N, Malissin I, Sutterlin L, Guitton C, Darreau C, Landais M, Chudeau N, Robert A, Moine P, Heming N, Maxime V, Bossard I, Nicholier TB, Colin G, Zinzoni V, Maquigneau N, Finn A, Kreß G, Hoff U, Friedrich Hinrichs C, Nee J, Pletz M, Hagel S, Ankert J, Kolanos S, Bloos F, Petros S, Pasieka B, Kunz K, Appelt P, Schütze B, Kluge S, Nierhaus A, Jarczak D, Roedl K, Weismann D, Frey A, Klinikum Neukölln V, Reill L, Distler M, Maselli A, Bélteczki J, Magyar I, Fazekas Á, Kovács S, Szőke V, Szigligeti G, Leszkoven J, Collins D, Breen P, Frohlich S, Whelan R, McNicholas B, Scully M, Casey S, Kernan M, Doran P, O’Dywer M, Smyth M, Hayes L, Hoiting O, Peters M, Rengers E, Evers M, Prinssen A, Bosch Ziekenhuis J, Simons K, Rozendaal W, Polderman F, de Jager P, Moviat M, Paling A, Salet A, Rademaker E, Peters AL, de Jonge E, Wigbers J, Guilder E, Butler M, Cowdrey KA, Newby L, Chen Y, Simmonds C, McConnochie R, Ritzema Carter J, Henderson S, Van Der Heyden K, Mehrtens J, Williams T, Kazemi A, Song R, Lai V, Girijadevi D, Everitt R, Russell R, Hacking D, Buehner U, Williams E, Browne T, Grimwade K, Goodson J, Keet O, Callender O, Martynoga R, Trask K, Butler A, Schischka L, Young C, Lesona E, Olatunji S, Robertson Y, José N, Amaro dos Santos Catorze T, de Lima Pereira TNA, Neves Pessoa LM, Castro Ferreira RM, Pereira Sousa Bastos JM, Aysel Florescu S, Stanciu D, Zaharia MF, Kosa AG, Codreanu D, Marabi Y, Al Qasim E, Moneer Hagazy M, Al Swaidan L, Arishi H, Muñoz-Bermúdez R, Marin-Corral J, Salazar Degracia A, Parrilla Gómez F, Mateo López MI, Rodriguez Fernandez J, Cárcel Fernández S, Carmona Flores R, León López R, de la Fuente Martos C, Allan A, Polgarova P, Farahi N, McWilliam S, Hawcutt D, Rad L, O’Malley L, Whitbread J, Kelsall O, Wild L, Thrush J, Wood H, Austin K, Donnelly A, Kelly M, O’Kane S, McClintock D, Warnock M, Johnston P, Gallagher LJ, Mc Goldrick C, Mc Master M, Strzelecka A, Jha R, Kalogirou M, Ellis C, Krishnamurthy V, Deelchand V, Silversides J, McGuigan P, Ward K, O’Neill A, Finn S, Phillips B, Mullan D, Oritz-Ruiz de Gordoa L, Thomas M, Sweet K, Grimmer L, Johnson R, Pinnell J, Robinson M, Gledhill L, Wood T, Morgan M, Cole J, Hill H, Davies M, Antcliffe D, Templeton M, Rojo R, Coghlan P, Smee J, Mackay E, Cort J, Whileman A, Spencer T, Spittle N, Kasipandian V, Patel A, Allibone S, Genetu RM, Ramali M, Ghosh A, Bamford P, London E, Cawley K, Faulkner M, Jeffrey H, Smith T, Brewer C, Gregory J, Limb J, Cowton A, O’Brien J, Nikitas N, Wells C, Lankester L, Pulletz M, Williams P, Birch J, Wiseman S, Horton S, Alegria A, Turki S, Elsefi T, Crisp N, Allen L, McCullagh I, Robinson P, Hays C, Babio-Galan M, Stevenson H, Khare D, Pinder M, Selvamoni S, Gopinath A, Pugh R, Menzies D, Mackay C, Allan E, Davies G, Puxty K, McCue C, Cathcart S, Hickey N, Ireland J, Yusuff H, Isgro G, Brightling C, Bourne M, Craner M, Watters M, Prout R, Davies L, Pegler S, Kyeremeh L, Arbane G, Wilson K, Gomm L, Francia F, Brett S, Sousa Arias S, Elin Hall R, Budd J, Small C, Birch J, Collins E, Henning J, Bonner S, Hugill K, Cirstea E, Wilkinson D, Karlikowski M, Sutherland H, Wilhelmsen E, Woods J, North J, Sundaran D, Hollos L, Coburn S, Walsh J, Turns M, Hopkins P, Smith J, Noble H, Depante MT, Clarey E, Laha S, Verlander M, Williams A, Huckle A, Hall A, Cooke J, Gardiner-Hill C, Maloney C, Qureshi H, Flint N, Nicholson S, Southin S, Nicholson A, Borgatta B, Turner-Bone I, Reddy A, Wilding L, Chamara Warnapura L, Agno Sathianathan R, Golden D, Hart C, Jones J, Bannard-Smith J, Henry J, Birchall K, Pomeroy F, Quayle R, Makowski A, Misztal B, Ahmed I, KyereDiabour T, Naiker K, Stewart R, Mwaura E, Mew L, Wren L, Willams F, Innes R, Doble P, Hutter J, Shovelton C, Plumb B, Szakmany T, Hamlyn V, Hawkins N, Lewis S, Dell A, Gopal S, Ganguly S, Smallwood A, Harris N, Metherell S, Lazaro JM, Newman T, Fletcher S, Nortje J, Fottrell-Gould D, Randell G, Zaman M, Elmahi E, Jones A, Hall K, Mills G, Ryalls K, Bowler H, Sall J, Bourne R, Borrill Z, Duncan T, Lamb T, Shaw J, Fox C, Moreno Cuesta J, Xavier K, Purohit D, Elhassan M, Bakthavatsalam D, Rowland M, Hutton P, Bashyal A, Davidson N, Hird C, Chhablani M, Phalod G, Kirkby A, Archer S, Netherton K, Reschreiter H, Camsooksai J, Patch S, Jenkins S, Pogson D, Rose S, Daly Z, Brimfield L, Claridge H, Parekh D, Bergin C, Bates M, Dasgin J, McGhee C, Sim M, Hay SK, Henderson S, Phull MK, Zaidi A, Pogreban T, Rosaroso LP, Harvey D, Lowe B, Meredith M, Ryan L, Hormis A, Walker R, Collier D, Kimpton S, Oakley S, Rooney K, Rodden N, Hughes E, Thomson N, McGlynn D, Walden A, Jacques N, Coles H, Tilney E, Vowell E, Schuster-Bruce M, Pitts S, Miln R, Purandare L, Vamplew L, Spivey M, Bean S, Burt K, Moore L, Day C, Gibson C, Gordon E, Zitter L, Keenan S, Baker E, Cherian S, Cutler S, Roynon-Reed A, Harrington K, Raithatha A, Bauchmuller K, Ahmad N, Grecu I, Trodd D, Martin J, Wrey Brown C, Arias AM, Craven T, Hope D, Singleton J, Clark S, Rae N, Welters I, Hamilton DO, Williams K, Waugh V, Shaw D, Puthucheary Z, Martin T, Santos F, Uddin R, Somerville A, Tatham KC, Jhanji S, Black E, Dela Rosa A, Howle R, Tully R, Drummond A, Dearden J, Philbin J, Munt S, Vuylsteke A, Chan C, Victor S, Matsa R, Gellamucho M, Creagh-Brown B, Tooley J, Montague L, De Beaux F, Bullman L, Kersiake I, Demetriou C, Mitchard S, Ramos L, White K, Donnison P, Johns M, Casey R, Mattocks L, Salisbury S, Dark P, Claxton A, McLachlan D, Slevin K, Lee S, Hulme J, Joseph S, Kinney F, Senya HJ, Oborska A, Kayani A, Hadebe B, Orath Prabakaran R, Nichols L, Thomas M, Worner R, Faulkner B, Gendall E, Hayes K, Hamilton-Davies C, Chan C, Mfuko C, Abbass H, Mandadapu V, Leaver S, Forton D, Patel K, Paramasivam E, Powell M, Gould R, Wilby E, Howcroft C, Banach D, Fernández de Pinedo Artaraz Z, Cabreros L, White I, Croft M, Holland N, Pereira R, Zaki A, Johnson D, Jackson M, Garrard H, Juhaz V, Roy A, Rostron A, Woods L, Cornell S, Pillai S, Harford R, Rees T, Ivatt H, Sundara Raman A, Davey M, Lee K, Barber R, Chablani M, Brohi F, Jagannathan V, Clark M, Purvis S, Wetherill B, Dushianthan A, Cusack R, de Courcy-Golder K, Smith S, Jackson S, Attwood B, Parsons P, Page V, Zhao XB, Oza D, Rhodes J, Anderson T, Morris S, Xia Le Tai C, Thomas A, Keen A, Digby S, Cowley N, Wild L, Southern D, Reddy H, Campbell A, Watkins C, Smuts S, Touma O, Barnes N, Alexander P, Felton T, Ferguson S, Sellers K, Bradley-Potts J, Yates D, Birkinshaw I, Kell K, Marshall N, Carr-Knott L, Summers C. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA 2020. [PMID: 32876697 DOI: 10.1001/jama.2020.1702221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. OBJECTIVE To determine whether hydrocortisone improves outcome for patients with severe COVID-19. DESIGN, SETTING, AND PARTICIPANTS An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. INTERVENTIONS The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). MAIN OUTCOMES AND MEASURES The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). RESULTS After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. CONCLUSIONS AND RELEVANCE Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02735707.
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Affiliation(s)
- Derek C Angus
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Lennie Derde
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Intensive Care Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Farah Al-Beidh
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Djillali Annane
- Intensive Care Unit, Raymond Poincaré Hospital (AP-HP), Paris, France
- Simone Veil School of Medicine, University of Versailles, Versailles, France
- University Paris Saclay, Garches, France
| | - Yaseen Arabi
- Intensive Care Department, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Abigail Beane
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Wilma van Bentum-Puijk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Zahra Bhimani
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Marc Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Charlotte Bradbury
- Bristol Royal Informatory, Bristol, United Kingdom
- University of Bristol, Bristol, United Kingdom
| | - Frank Brunkhorst
- Center for Clinical Studies and Center for Sepsis Control and Care (CSCC), Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Meredith Buxton
- Global Coalition for Adaptive Research, San Francisco, California
| | - Adrian Buzgau
- Helix, Monash University, Melbourne, Victoria, Australia
| | - Allen C Cheng
- Infection Prevention and Healthcare Epidemiology Unit, Alfred Health, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Menno de Jong
- Department of Medical Microbiology, Amsterdam University Medical Center, University of Amsterdam, the Netherlands
| | | | - Lise Estcourt
- NHS Blood and Transplant, Bristol, United Kingdom
- Transfusion Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | | | - Herman Goossens
- Department of Microbiology, Antwerp University Hospital, Antwerp, Belgium
| | - Cameron Green
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rashan Haniffa
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Alisa M Higgins
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher Horvat
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Sebastiaan J Hullegie
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter Kruger
- Intensive Care Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | | | - Patrick R Lawler
- Cardiac Intensive Care Unit, Peter Munk Cardiac Centre, University Health Network, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kelsey Linstrum
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Edward Litton
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | | | - John Marshall
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Daniel McAuley
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | | | - Shay McGuinness
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Bryan McVerry
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Stephanie Montgomery
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Paul Mouncey
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | - Srinivas Murthy
- University of British Columbia School of Medicine, Vancouver, Canada
| | - Alistair Nichol
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Anesthesia and Intensive Care, St Vincent's University Hospital, Dublin, Ireland
- School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
| | - Rachael Parke
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Jane Parker
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kathryn Rowan
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | | | - Marlene Santos
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | | | - Christopher Seymour
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Anne Turner
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Frank van de Veerdonk
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Balasubramanian Venkatesh
- Southside Clinical Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The George Institute for Global Health, Sydney, Australia
| | - Ryan Zarychanski
- Department of Medicine, Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Roger J Lewis
- Berry Consultants LLC, Austin, Texas
- Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
- Department of Emergency Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Colin McArthur
- Medical Research Institute of New Zealand, Wellington, New Zealand
- Department of Critical Care Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Steven A Webb
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
- St John of God Hospital, Subiaco, Western Australia, Australia
| | - Anthony C Gordon
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
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Angus DC, Derde L, Al-Beidh F, Annane D, Arabi Y, Beane A, van Bentum-Puijk W, Berry L, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Buzgau A, Cheng AC, de Jong M, Detry M, Estcourt L, Fitzgerald M, Goossens H, Green C, Haniffa R, Higgins AM, Horvat C, Hullegie SJ, Kruger P, Lamontagne F, Lawler PR, Linstrum K, Litton E, Lorenzi E, Marshall J, McAuley D, McGlothin A, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Parker J, Rowan K, Sanil A, Santos M, Saunders C, Seymour C, Turner A, van de Veerdonk F, Venkatesh B, Zarychanski R, Berry S, Lewis RJ, McArthur C, Webb SA, Gordon AC, Al-Beidh F, Angus D, Annane D, Arabi Y, van Bentum-Puijk W, Berry S, Beane A, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Cheng A, De Jong M, Derde L, Estcourt L, Goossens H, Gordon A, Green C, Haniffa R, Lamontagne F, Lawler P, Litton E, Marshall J, McArthur C, McAuley D, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Rowan K, Seymour C, Turner A, van de Veerdonk F, Webb S, Zarychanski R, Campbell L, Forbes A, Gattas D, Heritier S, Higgins L, Kruger P, Peake S, Presneill J, Seppelt I, Trapani T, Young P, Bagshaw S, Daneman N, Ferguson N, Misak C, Santos M, Hullegie S, Pletz M, Rohde G, Rowan K, Alexander B, Basile K, Girard T, Horvat C, Huang D, Linstrum K, Vates J, Beasley R, Fowler R, McGloughlin S, Morpeth S, Paterson D, Venkatesh B, Uyeki T, Baillie K, Duffy E, Fowler R, Hills T, Orr K, Patanwala A, Tong S, Netea M, Bihari S, Carrier M, Fergusson D, Goligher E, Haidar G, Hunt B, Kumar A, Laffan M, Lawless P, Lother S, McCallum P, Middeldopr S, McQuilten Z, Neal M, Pasi J, Schutgens R, Stanworth S, Turgeon A, Weissman A, Adhikari N, Anstey M, Brant E, de Man A, Lamonagne F, Masse MH, Udy A, Arnold D, Begin P, Charlewood R, Chasse M, Coyne M, Cooper J, Daly J, Gosbell I, Harvala-Simmonds H, Hills T, MacLennan S, Menon D, McDyer J, Pridee N, Roberts D, Shankar-Hari M, Thomas H, Tinmouth A, Triulzi D, Walsh T, Wood E, Calfee C, O’Kane C, Shyamsundar M, Sinha P, Thompson T, Young I, Bihari S, Hodgson C, Laffey J, McAuley D, Orford N, Neto A, Detry M, Fitzgerald M, Lewis R, McGlothlin A, Sanil A, Saunders C, Berry L, Lorenzi E, Miller E, Singh V, Zammit C, van Bentum Puijk W, Bouwman W, Mangindaan Y, Parker L, Peters S, Rietveld I, Raymakers K, Ganpat R, Brillinger N, Markgraf R, Ainscough K, Brickell K, Anjum A, Lane JB, Richards-Belle A, Saull M, Wiley D, Bion J, Connor J, Gates S, Manax V, van der Poll T, Reynolds J, van Beurden M, Effelaar E, Schotsman J, Boyd C, Harland C, Shearer A, Wren J, Clermont G, Garrard W, Kalchthaler K, King A, Ricketts D, Malakoutis S, Marroquin O, Music E, Quinn K, Cate H, Pearson K, Collins J, Hanson J, Williams P, Jackson S, Asghar A, Dyas S, Sutu M, Murphy S, Williamson D, Mguni N, Potter A, Porter D, Goodwin J, Rook C, Harrison S, Williams H, Campbell H, Lomme K, Williamson J, Sheffield J, van’t Hoff W, McCracken P, Young M, Board J, Mart E, Knott C, Smith J, Boschert C, Affleck J, Ramanan M, D’Souza R, Pateman K, Shakih A, Cheung W, Kol M, Wong H, Shah A, Wagh A, Simpson J, Duke G, Chan P, Cartner B, Hunter S, Laver R, Shrestha T, Regli A, Pellicano A, McCullough J, Tallott M, Kumar N, Panwar R, Brinkerhoff G, Koppen C, Cazzola F, Brain M, Mineall S, Fischer R, Biradar V, Soar N, White H, Estensen K, Morrison L, Smith J, Cooper M, Health M, Shehabi Y, Al-Bassam W, Hulley A, Whitehead C, Lowrey J, Gresha R, Walsham J, Meyer J, Harward M, Venz E, Williams P, Kurenda C, Smith K, Smith M, Garcia R, Barge D, Byrne D, Byrne K, Driscoll A, Fortune L, Janin P, Yarad E, Hammond N, Bass F, Ashelford A, Waterson S, Wedd S, McNamara R, Buhr H, Coles J, Schweikert S, Wibrow B, Rauniyar R, Myers E, Fysh E, Dawda A, Mevavala B, Litton E, Ferrier J, Nair P, Buscher H, Reynolds C, Santamaria J, Barbazza L, Homes J, Smith R, Murray L, Brailsford J, Forbes L, Maguire T, Mariappa V, Smith J, Simpson S, Maiden M, Bone A, Horton M, Salerno T, Sterba M, Geng W, Depuydt P, De Waele J, De Bus L, Fierens J, Bracke S, Reeve B, Dechert W, Chassé M, Carrier FM, Boumahni D, Benettaib F, Ghamraoui A, Bellemare D, Cloutier È, Francoeur C, Lamontagne F, D’Aragon F, Carbonneau E, Leblond J, Vazquez-Grande G, Marten N, Wilson M, Albert M, Serri K, Cavayas A, Duplaix M, Williams V, Rochwerg B, Karachi T, Oczkowski S, Centofanti J, Millen T, Duan E, Tsang J, Patterson L, English S, Watpool I, Porteous R, Miezitis S, McIntyre L, Brochard L, Burns K, Sandhu G, Khalid I, Binnie A, Powell E, McMillan A, Luk T, Aref N, Andric Z, Cviljevic S, Đimoti R, Zapalac M, Mirković G, Baršić B, Kutleša M, Kotarski V, Vujaklija Brajković A, Babel J, Sever H, Dragija L, Kušan I, Vaara S, Pettilä L, Heinonen J, Kuitunen A, Karlsson S, Vahtera A, Kiiski H, Ristimäki S, Azaiz A, Charron C, Godement M, Geri G, Vieillard-Baron A, Pourcine F, Monchi M, Luis D, Mercier R, Sagnier A, Verrier N, Caplin C, Siami S, Aparicio C, Vautier S, Jeblaoui A, Fartoukh M, Courtin L, Labbe V, Leparco C, Muller G, Nay MA, Kamel T, Benzekri D, Jacquier S, Mercier E, Chartier D, Salmon C, Dequin P, Schneider F, Morel G, L’Hotellier S, Badie J, Berdaguer FD, Malfroy S, Mezher C, Bourgoin C, Megarbane B, Voicu S, Deye N, Malissin I, Sutterlin L, Guitton C, Darreau C, Landais M, Chudeau N, Robert A, Moine P, Heming N, Maxime V, Bossard I, Nicholier TB, Colin G, Zinzoni V, Maquigneau N, Finn A, Kreß G, Hoff U, Friedrich Hinrichs C, Nee J, Pletz M, Hagel S, Ankert J, Kolanos S, Bloos F, Petros S, Pasieka B, Kunz K, Appelt P, Schütze B, Kluge S, Nierhaus A, Jarczak D, Roedl K, Weismann D, Frey A, Klinikum Neukölln V, Reill L, Distler M, Maselli A, Bélteczki J, Magyar I, Fazekas Á, Kovács S, Szőke V, Szigligeti G, Leszkoven J, Collins D, Breen P, Frohlich S, Whelan R, McNicholas B, Scully M, Casey S, Kernan M, Doran P, O’Dywer M, Smyth M, Hayes L, Hoiting O, Peters M, Rengers E, Evers M, Prinssen A, Bosch Ziekenhuis J, Simons K, Rozendaal W, Polderman F, de Jager P, Moviat M, Paling A, Salet A, Rademaker E, Peters AL, de Jonge E, Wigbers J, Guilder E, Butler M, Cowdrey KA, Newby L, Chen Y, Simmonds C, McConnochie R, Ritzema Carter J, Henderson S, Van Der Heyden K, Mehrtens J, Williams T, Kazemi A, Song R, Lai V, Girijadevi D, Everitt R, Russell R, Hacking D, Buehner U, Williams E, Browne T, Grimwade K, Goodson J, Keet O, Callender O, Martynoga R, Trask K, Butler A, Schischka L, Young C, Lesona E, Olatunji S, Robertson Y, José N, Amaro dos Santos Catorze T, de Lima Pereira TNA, Neves Pessoa LM, Castro Ferreira RM, Pereira Sousa Bastos JM, Aysel Florescu S, Stanciu D, Zaharia MF, Kosa AG, Codreanu D, Marabi Y, Al Qasim E, Moneer Hagazy M, Al Swaidan L, Arishi H, Muñoz-Bermúdez R, Marin-Corral J, Salazar Degracia A, Parrilla Gómez F, Mateo López MI, Rodriguez Fernandez J, Cárcel Fernández S, Carmona Flores R, León López R, de la Fuente Martos C, Allan A, Polgarova P, Farahi N, McWilliam S, Hawcutt D, Rad L, O’Malley L, Whitbread J, Kelsall O, Wild L, Thrush J, Wood H, Austin K, Donnelly A, Kelly M, O’Kane S, McClintock D, Warnock M, Johnston P, Gallagher LJ, Mc Goldrick C, Mc Master M, Strzelecka A, Jha R, Kalogirou M, Ellis C, Krishnamurthy V, Deelchand V, Silversides J, McGuigan P, Ward K, O’Neill A, Finn S, Phillips B, Mullan D, Oritz-Ruiz de Gordoa L, Thomas M, Sweet K, Grimmer L, Johnson R, Pinnell J, Robinson M, Gledhill L, Wood T, Morgan M, Cole J, Hill H, Davies M, Antcliffe D, Templeton M, Rojo R, Coghlan P, Smee J, Mackay E, Cort J, Whileman A, Spencer T, Spittle N, Kasipandian V, Patel A, Allibone S, Genetu RM, Ramali M, Ghosh A, Bamford P, London E, Cawley K, Faulkner M, Jeffrey H, Smith T, Brewer C, Gregory J, Limb J, Cowton A, O’Brien J, Nikitas N, Wells C, Lankester L, Pulletz M, Williams P, Birch J, Wiseman S, Horton S, Alegria A, Turki S, Elsefi T, Crisp N, Allen L, McCullagh I, Robinson P, Hays C, Babio-Galan M, Stevenson H, Khare D, Pinder M, Selvamoni S, Gopinath A, Pugh R, Menzies D, Mackay C, Allan E, Davies G, Puxty K, McCue C, Cathcart S, Hickey N, Ireland J, Yusuff H, Isgro G, Brightling C, Bourne M, Craner M, Watters M, Prout R, Davies L, Pegler S, Kyeremeh L, Arbane G, Wilson K, Gomm L, Francia F, Brett S, Sousa Arias S, Elin Hall R, Budd J, Small C, Birch J, Collins E, Henning J, Bonner S, Hugill K, Cirstea E, Wilkinson D, Karlikowski M, Sutherland H, Wilhelmsen E, Woods J, North J, Sundaran D, Hollos L, Coburn S, Walsh J, Turns M, Hopkins P, Smith J, Noble H, Depante MT, Clarey E, Laha S, Verlander M, Williams A, Huckle A, Hall A, Cooke J, Gardiner-Hill C, Maloney C, Qureshi H, Flint N, Nicholson S, Southin S, Nicholson A, Borgatta B, Turner-Bone I, Reddy A, Wilding L, Chamara Warnapura L, Agno Sathianathan R, Golden D, Hart C, Jones J, Bannard-Smith J, Henry J, Birchall K, Pomeroy F, Quayle R, Makowski A, Misztal B, Ahmed I, KyereDiabour T, Naiker K, Stewart R, Mwaura E, Mew L, Wren L, Willams F, Innes R, Doble P, Hutter J, Shovelton C, Plumb B, Szakmany T, Hamlyn V, Hawkins 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Keenan S, Baker E, Cherian S, Cutler S, Roynon-Reed A, Harrington K, Raithatha A, Bauchmuller K, Ahmad N, Grecu I, Trodd D, Martin J, Wrey Brown C, Arias AM, Craven T, Hope D, Singleton J, Clark S, Rae N, Welters I, Hamilton DO, Williams K, Waugh V, Shaw D, Puthucheary Z, Martin T, Santos F, Uddin R, Somerville A, Tatham KC, Jhanji S, Black E, Dela Rosa A, Howle R, Tully R, Drummond A, Dearden J, Philbin J, Munt S, Vuylsteke A, Chan C, Victor S, Matsa R, Gellamucho M, Creagh-Brown B, Tooley J, Montague L, De Beaux F, Bullman L, Kersiake I, Demetriou C, Mitchard S, Ramos L, White K, Donnison P, Johns M, Casey R, Mattocks L, Salisbury S, Dark P, Claxton A, McLachlan D, Slevin K, Lee S, Hulme J, Joseph S, Kinney F, Senya HJ, Oborska A, Kayani A, Hadebe B, Orath Prabakaran R, Nichols L, Thomas M, Worner R, Faulkner B, Gendall E, Hayes K, Hamilton-Davies C, Chan C, Mfuko C, Abbass H, Mandadapu V, Leaver S, Forton D, Patel K, Paramasivam E, Powell M, Gould R, Wilby E, Howcroft C, Banach D, Fernández de Pinedo Artaraz Z, Cabreros L, White I, Croft M, Holland N, Pereira R, Zaki A, Johnson D, Jackson M, Garrard H, Juhaz V, Roy A, Rostron A, Woods L, Cornell S, Pillai S, Harford R, Rees T, Ivatt H, Sundara Raman A, Davey M, Lee K, Barber R, Chablani M, Brohi F, Jagannathan V, Clark M, Purvis S, Wetherill B, Dushianthan A, Cusack R, de Courcy-Golder K, Smith S, Jackson S, Attwood B, Parsons P, Page V, Zhao XB, Oza D, Rhodes J, Anderson T, Morris S, Xia Le Tai C, Thomas A, Keen A, Digby S, Cowley N, Wild L, Southern D, Reddy H, Campbell A, Watkins C, Smuts S, Touma O, Barnes N, Alexander P, Felton T, Ferguson S, Sellers K, Bradley-Potts J, Yates D, Birkinshaw I, Kell K, Marshall N, Carr-Knott L, Summers C. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial. JAMA 2020; 324:1317-1329. [PMID: 32876697 PMCID: PMC7489418 DOI: 10.1001/jama.2020.17022] [Citation(s) in RCA: 542] [Impact Index Per Article: 135.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
IMPORTANCE Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. OBJECTIVE To determine whether hydrocortisone improves outcome for patients with severe COVID-19. DESIGN, SETTING, AND PARTICIPANTS An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. INTERVENTIONS The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). MAIN OUTCOMES AND MEASURES The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). RESULTS After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. CONCLUSIONS AND RELEVANCE Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02735707.
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Affiliation(s)
- Derek C Angus
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Lennie Derde
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Intensive Care Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Farah Al-Beidh
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Djillali Annane
- Intensive Care Unit, Raymond Poincaré Hospital (AP-HP), Paris, France
- Simone Veil School of Medicine, University of Versailles, Versailles, France
- University Paris Saclay, Garches, France
| | - Yaseen Arabi
- Intensive Care Department, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Abigail Beane
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Wilma van Bentum-Puijk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | - Zahra Bhimani
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Marc Bonten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Charlotte Bradbury
- Bristol Royal Informatory, Bristol, United Kingdom
- University of Bristol, Bristol, United Kingdom
| | - Frank Brunkhorst
- Center for Clinical Studies and Center for Sepsis Control and Care (CSCC), Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | - Meredith Buxton
- Global Coalition for Adaptive Research, San Francisco, California
| | - Adrian Buzgau
- Helix, Monash University, Melbourne, Victoria, Australia
| | - Allen C Cheng
- Infection Prevention and Healthcare Epidemiology Unit, Alfred Health, Melbourne, Victoria, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Menno de Jong
- Department of Medical Microbiology, Amsterdam University Medical Center, University of Amsterdam, the Netherlands
| | | | - Lise Estcourt
- NHS Blood and Transplant, Bristol, United Kingdom
- Transfusion Medicine, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | | | - Herman Goossens
- Department of Microbiology, Antwerp University Hospital, Antwerp, Belgium
| | - Cameron Green
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Rashan Haniffa
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Alisa M Higgins
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher Horvat
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Sebastiaan J Hullegie
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter Kruger
- Intensive Care Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | | | - Patrick R Lawler
- Cardiac Intensive Care Unit, Peter Munk Cardiac Centre, University Health Network, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kelsey Linstrum
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Edward Litton
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
| | | | - John Marshall
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
| | - Daniel McAuley
- Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, United Kingdom
| | | | - Shay McGuinness
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Bryan McVerry
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Stephanie Montgomery
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Paul Mouncey
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | - Srinivas Murthy
- University of British Columbia School of Medicine, Vancouver, Canada
| | - Alistair Nichol
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Anesthesia and Intensive Care, St Vincent's University Hospital, Dublin, Ireland
- School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland
- Department of Intensive Care, Alfred Health, Melbourne, Victoria, Australia
| | - Rachael Parke
- Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand
- The Health Research Council of New Zealand, Wellington, New Zealand
- Medical Research Institute of New Zealand, Wellington, New Zealand
- School of Nursing, University of Auckland, Auckland, New Zealand
| | - Jane Parker
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kathryn Rowan
- Clinical Trials Unit, Intensive Care National Audit & Research Centre (ICNARC), London, United Kingdom
| | | | - Marlene Santos
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | | | - Christopher Seymour
- The Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- The UPMC Health System Office of Healthcare Innovation, Pittsburgh, Pennsylvania
| | - Anne Turner
- Medical Research Institute of New Zealand, Wellington, New Zealand
| | - Frank van de Veerdonk
- Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Balasubramanian Venkatesh
- Southside Clinical Unit, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- The George Institute for Global Health, Sydney, Australia
| | - Ryan Zarychanski
- Department of Medicine, Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Roger J Lewis
- Berry Consultants LLC, Austin, Texas
- Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
- Department of Emergency Medicine, David Geffen School of Medicine at University of California, Los Angeles
| | - Colin McArthur
- Medical Research Institute of New Zealand, Wellington, New Zealand
- Department of Critical Care Medicine, Auckland City Hospital, Auckland, New Zealand
| | - Steven A Webb
- Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- School of Medicine and Pharmacology, University of Western Australia, Crawley, Western Australia, Australia
- St John of God Hospital, Subiaco, Western Australia, Australia
| | - Anthony C Gordon
- Division of Anaesthetics, Pain Medicine and Intensive Care Medicine, Department of Surgery and Cancer, Imperial College London and Imperial College Healthcare NHS Trust, London, United Kingdom
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Casey JD, Johnson NJ, Semler MW, Collins SP, Aggarwal NR, Brower RG, Chang SY, Eppensteiner J, Filbin M, Gibbs KW, Ginde AA, Gong MN, Harrell F, Hayden DL, Hough CL, Khan A, Leither LM, Moss M, Oldmixon CF, Park PK, Reineck LA, Ringwood NJ, Robinson BRH, Schoenfeld DA, Shapiro NI, Steingrub JS, Torr DK, Weissman A, Lindsell CJ, Rice TW, Thompson BT, Brown SM, Self WH. Rationale and Design of ORCHID: A Randomized Placebo-controlled Clinical Trial of Hydroxychloroquine for Adults Hospitalized with COVID-19. Ann Am Thorac Soc 2020; 17:1144-1153. [PMID: 32492354 PMCID: PMC7462324 DOI: 10.1513/annalsats.202005-478sd] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 05/14/2020] [Accepted: 06/03/2020] [Indexed: 01/02/2023] Open
Abstract
The ORCHID (Outcomes Related to COVID-19 treated with Hydroxychloroquine among In-patients with symptomatic Disease) trial is a multicenter, blinded, randomized trial of hydroxychloroquine versus placebo for the treatment of adults hospitalized with coronavirus disease (COVID-19). This document provides the rationale and background for the trial and highlights key design features. We discuss five novel challenges to the design and conduct of a large, multicenter, randomized trial during a pandemic, including 1) widespread, off-label use of the study drug before the availability of safety and efficacy data; 2) the need to adapt traditional procedures for documentation of informed consent during an infectious pandemic; 3) developing a flexible and robust Bayesian analysis incorporating significant uncertainty about the disease, outcomes, and treatment; 4) obtaining indistinguishable drug and placebo without delaying enrollment; and 5) rapidly obtaining administrative and regulatory approvals. Our goals in describing how the ORCHID trial progressed from study conception to enrollment of the first patient in 15 days are to inform the development of other high-quality, multicenter trials targeting COVID-19. We describe lessons learned to improve the efficiency of future clinical trials, particularly in the setting of pandemics. The ORCHID trial will provide high-quality, clinically relevant data on the safety and efficacy of hydroxychloroquine for the treatment of COVID-19 among hospitalized adults.Clinical trial registered with www.clinicaltrials.gov (NCT04332991).
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Affiliation(s)
- Jonathan D Casey
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Nicholas J Johnson
- Department of Emergency Medicine
- Division of Pulmonary, Critical Care, and Sleep Medicine, Harborview Medical Center, and
| | - Matthew W Semler
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | | | - Neil R Aggarwal
- Division of Lung Diseases, National Heart, Lung and Blood Institute, Bethesda, Maryland
| | - Roy G Brower
- Critical Care Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Steven Y Chang
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, California
| | | | | | - Kevin W Gibbs
- Section of Pulmonary, Critical Care, Allergy and Immunologic Disease, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | - Michelle N Gong
- Division of Epidemiology and Population Health, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, New York City, New York
| | - Frank Harrell
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | | | - Catherine L Hough
- Division of Pulmonary, Critical Care, and Sleep Medicine, Harborview Medical Center, and
| | - Akram Khan
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Oregon Health and Science University School of Medicine, Portland, Oregon
| | - Lindsay M Leither
- Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center and University of Utah, Salt Lake City, Utah
| | - Marc Moss
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | | | - Pauline K Park
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Lora A Reineck
- Division of Lung Diseases, National Heart, Lung and Blood Institute, Bethesda, Maryland
| | | | | | | | - Nathan I Shapiro
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Jay S Steingrub
- Department of Medicine, University of Massachusetts Medical School-Baystate, Springfield, Massachusetts
| | - Donna K Torr
- Department of Pharmacy Services, Vanderbilt University Medical Center, Nashville, Tennessee; and
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Christopher J Lindsell
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Todd W Rice
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - B Taylor Thompson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Samuel M Brown
- Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center and University of Utah, Salt Lake City, Utah
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Callaway CW, Coppler PJ, Faro J, Puyana JS, Solanki P, Dezfulian C, Doshi AA, Elmer J, Frisch A, Guyette FX, Okubo M, Rittenberger JC, Weissman A. Association of Initial Illness Severity and Outcomes After Cardiac Arrest With Targeted Temperature Management at 36 °C or 33 °C. JAMA Netw Open 2020; 3:e208215. [PMID: 32701158 PMCID: PMC7378753 DOI: 10.1001/jamanetworkopen.2020.8215] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
IMPORTANCE It is uncertain what the optimal target temperature is for targeted temperature management (TTM) in patients who are comatose following cardiac arrest. OBJECTIVE To examine whether illness severity is associated with changes in the association between target temperature and patient outcome. DESIGN, SETTING, AND PARTICIPANTS This cohort study compared outcomes for 1319 patients who were comatose after cardiac arrest at a single center in Pittsburgh, Pennsylvania, from January 2010 to December 2018. Initial illness severity was based on coma and organ failure scores, presence of severe cerebral edema, and presence of highly malignant electroencephalogram (EEG) after resuscitation. EXPOSURE TTM at 36 °C or 33 °C. MAIN OUTCOMES AND MEASURES Primary outcome was survival to hospital discharge, and secondary outcomes were modified Rankin Scale and cerebral performance category. RESULTS Among 1319 patients, 728 (55.2%) had TTM at 33 °C (451 [62.0%] men; median [interquartile range] age, 61 [50-72] years) and 591 (44.8%) had TTM at 36 °C (353 [59.7%] men; median [interquartile range] age, 59 [48-69] years). Overall, 184 of 187 patients (98.4%) with severe cerebral edema died and 234 of 243 patients (96.3%) with highly malignant EEG died regardless of TTM strategy. Comparing TTM at 33 °C with TTM at 36 °C in 911 patients (69.1%) with neither severe cerebral edema nor highly malignant EEG, survival was lower in patients with mild to moderate coma and no shock (risk difference, -13.8%; 95% CI, -24.4% to -3.2%) but higher in patients with mild to moderate coma and cardiopulmonary failure (risk difference, 21.8%; 95% CI, 5.4% to 38.2%) or with severe coma (risk difference, 9.7%; 95% CI, 4.0% to 15.3%). Interactions were similar for functional outcomes. Most deaths (633 of 968 [65.4%]) resulted after withdrawal of life-sustaining therapies. CONCLUSIONS AND RELEVANCE In this study, TTM at 33 °C was associated with better survival than TTM at 36 °C among patients with the most severe post-cardiac arrest illness but without severe cerebral edema or malignant EEG. However, TTM at 36 °C was associated with better survival among patients with mild- to moderate-severity illness.
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Affiliation(s)
- Clifton W. Callaway
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Patrick J. Coppler
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - John Faro
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jacob S. Puyana
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Pawan Solanki
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Cameron Dezfulian
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Ankur A. Doshi
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jonathan Elmer
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Adam Frisch
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Francis X. Guyette
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Masashi Okubo
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jon C. Rittenberger
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alexandra Weissman
- Pittsburgh Post–Cardiac Arrest Service, Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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Weissman A, Puyana J. 246EMF Diagnostic Tools to Improve Pneumonia Detection in Post Cardiac Arrest Patients. Ann Emerg Med 2019. [DOI: 10.1016/j.annemergmed.2019.08.414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Callaway C, Dezfulian C, Doshi A, Elmer J, Guyette F, Okubo M, Rittenberger J, Weissman A. Phenotypes of severe post-CPR brain injury. Resuscitation 2019. [DOI: 10.1016/j.resuscitation.2019.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Weissman A, Goldberger T, Wigler R, Kfir A, Blau–Venezia N. Retrograde root canal retreatment with pre‐bent ultrasonic files. A retrospective outcome study. Int Endod J 2019; 52:1547-1555. [DOI: 10.1111/iej.13176] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 06/18/2019] [Indexed: 11/26/2022]
Affiliation(s)
- A. Weissman
- Department of Endodontology The Goldschleger School of Dental Medicine Tel Aviv University Tel Aviv Israel
| | - T. Goldberger
- Department of Endodontology The Goldschleger School of Dental Medicine Tel Aviv University Tel Aviv Israel
| | - R. Wigler
- Department of Endodontology The Goldschleger School of Dental Medicine Tel Aviv University Tel Aviv Israel
| | - A. Kfir
- Department of Endodontology The Goldschleger School of Dental Medicine Tel Aviv University Tel Aviv Israel
| | - N. Blau–Venezia
- Department of Endodontology The Goldschleger School of Dental Medicine Tel Aviv University Tel Aviv Israel
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Rittenberger JC, Flickinger KL, Weissman A, Repine M, Elmer J, Guyette FX, Callaway CW. Cooling to Facilitate Metabolic Suppression in Healthy Individuals. Aerosp Med Hum Perform 2019; 90:475-479. [PMID: 31023408 DOI: 10.3357/amhp.5284.2019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND: Carbon dioxide (CO₂) toxicity could be catastrophic for astronauts. Suppressing metabolism by lowering body temperature decreases CO₂ production and may facilitate rescue in the event of a crippled ship. Lowering body temperature requires shivering suppression. We evaluated dexmedetomidine to facilitate cooling of healthy individuals.METHODS: Following consent, we administered a 1 mcg · kg-1 bolus of dexmedetomidine followed by continuous infusion (0.5-1.4 mcg · kg-1 · h-1) for 3 h of cooling. We cooled subjects using a bolus of 30 cc · kg-1 of 4°C saline followed by surface cooling. We measured vital signs, thermal and comfort scales, sedation, and shivering for 3 h and during recovery. ANOVA evaluated changes in measures over time.RESULTS: Nine subjects completed the study. Mean age was 31 (SD 8) yr, mean mass was 71 (SD 14) kg, height of 168 (SD 9) cm, and body mass index of 25 (SD 3). Median time to 1°C drop in core temperature was 16 (IQR 15, 32) min. Temperature changed over time with median lowest temperature being 33.1°C (IQR 32.8°C, 34.1°C). Neither heart rate nor diastolic blood pressures changed over time. Systolic blood pressure decreased over time. Subjects responded to verbal stimuli and completed tasks throughout the protocol. During cooling and maintenance, subjects reported discomfort and the sensation of being cold.CONCLUSION: Dexmedetomidine facilitates shivering suppression during prolonged cooling in healthy individuals. Subjects are easily roused, have mild decreases in systolic blood pressure, and note sensations of discomfort and cold. Cooling to suppress metabolism is a feasible countermeasure to prolong astronaut endurance.Rittenberger JC, Flickinger KL, Weissman A, Repine M, Elmer J, Guyette FX, Callaway CW. Cooling to facilitate metabolic suppression in healthy individuals. Aerosp Med Hum Perform. 2019; 90(5):475-479.
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Rittenberger JC, Weissman A, Baldwin M, Flickinger K, Repine MJ, Guyette FX, Doshi AA, Dezfulian C, Callaway CW, Elmer J. Preliminary experience with point-of-care EEG in post-cardiac arrest patients. Resuscitation 2018; 135:98-102. [PMID: 30605711 DOI: 10.1016/j.resuscitation.2018.12.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 08/09/2018] [Accepted: 12/13/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Abnormal electroencephalography (EEG) patterns are common after resuscitation from cardiac arrest and have clinical and prognostic importance. Bedside continuous EEGs are not available in many institutions. We tested the feasibility of using a point-of-care system for EEG acquisition. METHODS We prospectively enrolled a convenience sample of post-cardiac arrest patients between 9/2015-1/2017. Upon hospital arrival, a limited EEG montage was applied. We tested both continuous EEG (cEEG) and this point-of-care EEG (eEEG). A board-certified epileptologist and a board-certified neurointensivist jointly reviewed all EEGs. Cohen's kappa coefficient evaluated agreement between eEEG and cEEG and Fisher's exact test evaluated their associations with survival to hospital discharge and proximate cause of death. RESULTS We studied 95 comatose post-cardiac arrest patients. Mean age was 59 (SD17) years. Most (61%) were male, few (N = 22; 23%) demonstrated shockable rhythms, and PCAC IV illness severity was present in 58 (61%). eEEG was interpretable in 57 (60%) subjects. The most common eEEG interpretations were: continuous (21%), generalized suppression (14%), burst-suppression (12%) and burst-suppression with identical bursts (10%). Seizures were detected in 2 eEEG subjects (2%). No patient with seizure or burst-suppression with identical bursts survived. cEEG demonstrated generalized suppression (31%), burst-suppression with identical bursts (27%), continuous (18%) and seizure (4%). The eEEG and cEEG demonstrated fair agreement (kappa = 0.27). Neither eEEG nor cEEG was associated with survival (p = 0.19; p = 0.11) or proximate cause of death (p = 0.14; p = 0.8) CONCLUSIONS: eEEG is feasible, although artifact often precludes interpretation. eEEG is fairly associated with cEEG and may facilitate post-cardiac arrest care.
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Affiliation(s)
- Jon C Rittenberger
- Department of Emergency Medicine, University of Pittsburgh, United States.
| | - Alexandra Weissman
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Maria Baldwin
- Department of Neurology, University of Pittsburgh, United States
| | - Kathryn Flickinger
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Melissa J Repine
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Francis X Guyette
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Ankur A Doshi
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Cameron Dezfulian
- Department of Critical Care Medicine, University of Pittsburgh, United States
| | - Clifton W Callaway
- Department of Emergency Medicine, University of Pittsburgh, United States
| | - Jonathan Elmer
- Department of Emergency Medicine, University of Pittsburgh, United States; Department of Critical Care Medicine, University of Pittsburgh, United States
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Weissman A, Gozansky E, Andrews G, Rittenberger J, Callaway C. 143EMF Chest Radiograph Findings Suggestive of Pneumonia Following Cardiac Arrest. Ann Emerg Med 2018. [DOI: 10.1016/j.annemergmed.2018.08.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Hsu CH, Haac BE, Drake M, Bernard AC, Aiolfi A, Inaba K, Hinson HE, Agarwal C, Galante J, Tibbits EM, Johnson NJ, Carlbom D, Mirhoseini MF, Patel MB, O’Bosky KR, Chan C, Udekwu PO, Farrell M, Wild JL, Young KA, Cullinane DC, Gojmerac DJ, Weissman A, Callaway C, Perman SM, Guerrero M, Aisiku IP, Seethala RR, Co IN, Madhok DY, Darger B, Kim DY, Spence L, Scalea TM, Stein DM. EAST Multicenter Trial on targeted temperature management for hanging-induced cardiac arrest. J Trauma Acute Care Surg 2018; 85:37-47. [PMID: 29677083 PMCID: PMC6026030 DOI: 10.1097/ta.0000000000001945] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND We sought to determine the outcome of suicidal hanging and the impact of targeted temperature management (TTM) on hanging-induced cardiac arrest (CA) through an Eastern Association for the Surgery of Trauma (EAST) multicenter retrospective study. METHODS We analyzed hanging patient data and TTM variables from January 1992 to December 2015. Cerebral performance category score of 1 or 2 was considered good neurologic outcome, while cerebral performance category score of 3 or 4 was considered poor outcome. Classification and Regression Trees recursive partitioning was used to develop multivariate predictive models for survival and neurologic outcome. RESULTS A total of 692 hanging patients from 17 centers were analyzed for this study. Their overall survival rate was 77%, and the CA survival rate was 28.6%. The CA patients had significantly higher severity of illness and worse outcome than the non-CA patients. Of the 175 CA patients who survived to hospital admission, 81 patients (46.3%) received post-CA TTM. The unadjusted survival of TTM CA patients (24.7% vs 39.4%, p < 0.05) and good neurologic outcome (19.8% vs 37.2%, p < 0.05) were worse than non-TTM CA patients. However, when subgroup analyses were performed between those with an admission Glasgow Coma Scale score of 3 to 8, the differences between TTM and non-TTM CA survival (23.8% vs 30.0%, p = 0.37) and good neurologic outcome (18.8% vs 28.7%, p = 0.14) were not significant. Targeted temperature management implementation and post-CA management varied between the participating centers. Classification and Regression Trees models identified variables predictive of favorable and poor outcome for hanging and TTM patients with excellent accuracy. CONCLUSION Cardiac arrest hanging patients had worse outcome than non-CA patients. Targeted temperature management CA patients had worse unadjusted survival and neurologic outcome than non-TTM patients. These findings may be explained by their higher severity of illness, variable TTM implementation, and differences in post-CA management. Future prospective studies are necessary to ascertain the effect of TTM on hanging outcome and to validate our Classification and Regression Trees models. LEVEL OF EVIDENCE Therapeutic study, level IV; prognostic study, level III.
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Affiliation(s)
- Cindy H. Hsu
- R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland
- University of Michigan, Ann Arbor, Michigan
| | - Bryce E. Haac
- R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland
| | - Mack Drake
- University of Kentucky, Lexington, Kentucky
| | | | - Alberto Aiolfi
- Los Angeles County/University of Southern California Medical Center, Los Angeles, CA
| | - Kenji Inaba
- Los Angeles County/University of Southern California Medical Center, Los Angeles, CA
| | | | | | - Joseph Galante
- University of California Davis Medical Center, Davis, California
| | - Emily M. Tibbits
- University of California Davis Medical Center, Davis, California
| | | | - David Carlbom
- University of Washington/Harborview Medical Center, Seattle, Washington
| | | | - Mayur B. Patel
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Christian Chan
- Loma Linda University Medical Center, Loma Linda, California
| | | | | | | | | | | | | | | | - Clifton Callaway
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | | | | | | | - Ivan N. Co
- University of Michigan, Ann Arbor, Michigan
| | - Debbie Y. Madhok
- San Francisco General Hospital/University of California San Francisco, San Francisco, California
| | - Bryan Darger
- San Francisco General Hospital/University of California San Francisco, San Francisco, California
| | | | - Lara Spence
- Harbor UCLA Medical Center, Torrance, California
| | - Thomas M. Scalea
- R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland
| | - Deborah M. Stein
- R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland
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Matanes E, Weissman A, Wiener Z, Amit A, Paz U, Lauterbach R, Lowenstein L. The Effects of Pneumoperitoneum and the Steep Trendelenburg Position on Heart Rate Variability and Cerebral Oxygenation during Robotic Sacrocolpopexy. J Minim Invasive Gynecol 2017. [DOI: 10.1016/j.jmig.2017.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Kfir A, Elkes D, Pawar A, Weissman A, Tsesis I. Incidence of microcracks in maxillary first premolars after instrumentation with three different mechanized file systems: a comparative ex vivo study. Clin Oral Investig 2016; 21:405-411. [DOI: 10.1007/s00784-016-1806-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 03/21/2016] [Indexed: 10/22/2022]
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Ulanovsky I, Haleluya NS, Blazer S, Weissman A. The effects of caffeine on heart rate variability in newborns with apnea of prematurity. J Perinatol 2014; 34:620-3. [PMID: 24722649 DOI: 10.1038/jp.2014.60] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2013] [Revised: 02/25/2014] [Accepted: 03/03/2014] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Apnea of prematurity is a common complication in premature newborns and caffeine is a widespread medication used to treat this complication. Caffeine may have adverse effects on the cardiovascular and central nervous system, yet its effects on the autonomic nervous system modulation of heart rate have not been studied in premature newborns, which was the objective of our study. STUDY DESIGN We prospectively studied 21 premature newborns who were treated with caffeine. We analyzed heart rate variability by power spectral density and by dynamic nonlinear analyses methods. RESULT There were no changes in heart rate, blood pressure or the autonomic nervous system tone following administration of caffeine, nor were the nonlinear dynamical properties of the system altered by caffeine. CONCLUSION Caffeine does not have detrimental effects on heart rate variability, heart rate or blood pressure in conventional doses given to premature newborns.
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Affiliation(s)
- I Ulanovsky
- Departments of Neonatology, Rambam Health Care Campus, Technion-Israel Institute of Technology, Haifa, Israel
| | - N S Haleluya
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - S Blazer
- 1] Departments of Neonatology, Rambam Health Care Campus, Technion-Israel Institute of Technology, Haifa, Israel [2] Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - A Weissman
- 1] Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel [2] Department of Obstetrics and Gynecology, Rambam Health Care Campus, Technion-Israel Institute of Technology, Haifa, Israel
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Herbstein FH, Kapon M, Weissman A. X-ray Diffraction as a Tool for Studying Stoichiometry and Kinetics of Solid State Thermal Decomposition Reactions. Application to the Thermal Decomposition of Bischofite MgCl2· 6H2O. Isr J Chem 2013. [DOI: 10.1002/ijch.198200041] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Zeadna A, Holzer H, Son WY, Demirtas E, Reinblatt S, Dahan MH, Colleselli V, D'Costa E, Wildt L, Seeber B, Kashevarova AA, Skryabin NA, Nikitina TV, Lebedev IN, Bordignon PP, Mugione A, Vanni VS, Vigano P, Papaleo E, Candiani M, Somigliana E, Amodio G, Gregori S, Guo YH, Li R, Wang LL, Chen SL, Chen X, Guo W, Ye DS, Liu YD, Renzini MM, Dal Canto M, Coticchio G, Comi R, Brigante C, Caliari I, Brambillasca F, Merola M, Lain M, Turchi D, Karagouga G, Sottocornola M, Fadini R, Wekker MZ, Mol F, van Wely M, Ankum WM, Mol BW, van der Veen F, Hajenius PJ, van Mello NM, Verlengia C, Alviggi E, Rampini MR, Alfano P, Pergolini I, Marconi D, Iacobelli N, Muzi MC, Gelli G, Alviggi C, Colicchia A, Herraiz-Nicuesa L, Tejera-Alhambra M, Garcia-Segovia A, Ramos-Medina R, Alonso B, Gil-Pulido J, Martin L, Caballero M, Rodriguez-Mahou M, Sanchez-Ramon S, de Jong PG, Kaandorp SP, Di Nisio M, Goddijn M, Middeldorp S, Lledo B, Turienzo A, Ortiz JA, Morales R, Ten J, Llacer J, Bernabeu R, Ramos-Medina R, Garcia-Segovia A, Gil J, Leon JA, Alonso B, Tejera-Alhambra M, Seyfferth A, Aguaron A, Alonso J, de Albornoz EC, Carbone J, Caballero P, Fernandez-Cruz E, Ortiz-Quintana L, Sanchez-Ramon S, Lou YY, Jin F, Zheng YM, Li LJ, Le F, Wang LY, Liu SY, Pan PP, Hu CX, Akoum A, Bourdiec A, Shao R, Rao CV, Scarpellini F, Sbracia M, Jancar N, Bokal EV, Ban-Frangez H, Drobnic S, Korosec S, Pinter B, Salamun V, Yamaguchi M, Honda R, Uchino K, Ohba T, Katabuchi H, Leylek O, Tiras B, Saltik AYSE, Halicigil C, Kavci N, Wiser A, Gilbert A, Nahum R, Orvieto R, Hass J, Hourvitz A, Weissman A, Younes G, Dirnfeld M, Hershko A, Shulma A, Holzer H, Shalom-Paz E, Tulandi T, O'Neill SM, Agerbo E, Kenny LC, Henriksen TB, Kearney PM, Greene RA, Mortensen PB, Khashan AS, Talaulikar VS, Bax BE, Manyonda I, Van Mello N, Mol F, Hajenius PJ, Ankum WM, Mol BW, van der Veen F, van Wely M. Early pregnancy. Hum Reprod 2013. [DOI: 10.1093/humrep/det209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Weissman A, Tannus S, Horowitz E, Ravhon A, Barkat J, Levran D. Fixed versus flexible GnRH antagonist protocols: who makes the difference? Fertil Steril 2012. [DOI: 10.1016/j.fertnstert.2012.07.654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Hsu WY, Simonne A, Weissman A, Kim JM. Antimicrobial activity of greater galangal [Alpinia galanga (Linn.) Swartz.] flowers. Food Sci Biotechnol 2010. [DOI: 10.1007/s10068-010-0124-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Weissman A, Horowitz E, Ravhon A, Steinfeld Z, Golan A, Levran D. Timing natural cycle frozen-thawed embryo transfer by HCG triggering: a randomized prospective trial. Fertil Steril 2009. [DOI: 10.1016/j.fertnstert.2009.07.092] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Weissman A, Torkhov O, Weissman AI, Drugan A. The effects of meperidine and epidural analgesia in labor on maternal heart rate variability. Int J Obstet Anesth 2009; 18:118-24. [PMID: 19157851 DOI: 10.1016/j.ijoa.2008.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2008] [Revised: 09/30/2008] [Accepted: 09/30/2008] [Indexed: 11/29/2022]
Abstract
BACKGROUND Epidural and parenteral opioid analgesia are two common methods of pain relief in labor that may influence the autonomic nervous system. However, these effects on laboring women have not yet been adequately studied. The aim of our study was to assess the effects of these two methods of analgesia on autonomic nervous system modulation of maternal heart rate variability in laboring women. METHODS A prospective observational study was conducted on 64 laboring women; 33 received epidural analgesia with bupivacaine and fentanyl and 31 intravenous meperidine and promethazine. Power spectral analysis and nonlinear methods were applied to digitized electrocardiograms performed before and after administration of analgesia, to assess maternal heart rate variability and autonomic equilibrium. RESULTS Maternal heart rate significantly increased in women who received meperidine compared to those who had epidural analgesia. There was a significant increase in the low-frequency to high-frequency ratio (3.7+/-3.9 vs. 1.8+/-1.6, P<0.05), and a significant decrease of high-frequency spectral power in women who had meperidine compared to those who received epidural analgesia (163+/-91 vs. 98+/-100 ms(2)/Hz, P<0.05). CONCLUSIONS Meperidine caused an autonomic nervous system shift towards sympathetic activation with abolition of respiratory sinus arrhythmia high-frequency spectral band. Conversely epidural analgesia had no significant effect on autonomic nervous system control of heart rate.
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Affiliation(s)
- A Weissman
- Department of Obstetrics & Gynecology, Rambam Medical Center, Haifa, Israel.
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Weissman A, Horowitz E, Ravhon A, Nahum H, Golan A, Levran D. Pregnancies and live births following intracytoplasmic sperm injection of testicular spermatozoa after repeated implantation failure with the use of ejaculated sperm. Fertil Steril 2008. [DOI: 10.1016/j.fertnstert.2008.07.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Ravhon A, Weissman A, Levin D, Nahum H, Golan A, Levran D. Ultrasound-guided embryo transfer: which parameters may influence pregnancy rates? Fertil Steril 2007. [DOI: 10.1016/j.fertnstert.2007.07.1094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Lavi R, Yarnitsky D, Yernitzky D, Rowe JM, Weissman A, Segal D, Avivi I. Standard vs atraumatic Whitacre needle for diagnostic lumbar puncture: a randomized trial. Neurology 2006; 67:1492-4. [PMID: 17060584 DOI: 10.1212/01.wnl.0000240054.40274.8a] [Citation(s) in RCA: 86] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
In order to define the impact of needle type on post-lumbar puncture headache (PLPH), we performed a prospective, randomized trial comparing the incidence of PLPH in patients undergoing lumbar punctures (LPs) with traumatic vs atraumatic 22-gauge needles. Fifty-eight patients underwent 85 LPs. The incidence of PLPH was 36% in the traumatic vs 3% in the atraumatic group (p = 0.002).
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Affiliation(s)
- R Lavi
- Anesthesiology Department, Rambam Medical Center, PO Box 9602, Haifa 31096, Israel.
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Ravhon A, Nahum H, Weissman A, Biran G, Umansky N, Levran D. P-257. Fertil Steril 2006. [DOI: 10.1016/j.fertnstert.2006.07.610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Farhi J, Ben-Haroush A, Weissman A, Nahum H, Levran D. P-750. Fertil Steril 2006. [DOI: 10.1016/j.fertnstert.2006.07.1136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Weissman A, Biran G, Ravhon A, Nahum H, Glezerman M, Levran D. A Randomized Prospective Study Comparing the Use of a Standard GnRH Antagonist Versus a ‘Long’ Antagonist Protocol for Controlled Ovarian Hyperstimulation Prior to IVF. Fertil Steril 2005. [DOI: 10.1016/j.fertnstert.2005.07.808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Weissman A, Eldar I, Farhi J, Ravhon A, Biran G, Levran D. Zygote Intrafallopian Transfer (ZIFT) in Patients With Repeated Implantation Failure: Ten Years Experience of a Single Center. Fertil Steril 2005. [DOI: 10.1016/j.fertnstert.2005.07.938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Ravhon A, Nahum H, Weissman A, Biran G, Umansky N, Levran D. Embryo Transfer in Hyaluronan Enriched Transfer Medium Does Not Improve Pregnancy Rate in IVF Treatment. Fertil Steril 2005. [DOI: 10.1016/j.fertnstert.2005.07.985] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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