Perioperative Hypothermia Clinical Trial
Official title:
A Clinical Multicenter, Prospective, Observational Cohort Study to Validate a Prediction Mobile APP for Perioperative Hypothermia
NCT number | NCT05333120 |
Other study ID # | HypothermiaAPP |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | May 25, 2021 |
Est. completion date | December 2023 |
There have been no fully validated tools for rapid screen of surgical patients at risk of intraoperative hypothermia. The aim of this study is to validate the performance of a previously established prediction model in estimating risk of intraoperative hypothermia using a prospective cohort before further implementation of the model. We hypothesize that the prediction model has helpful discrimination and adequate calibration [1] for clinical use.
Status | Recruiting |
Enrollment | 3000 |
Est. completion date | December 2023 |
Est. primary completion date | December 2022 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - aged 18 years or older - undergoing elective operation with general anesthesia or combined with other anesthesia - operation is expected to last more than 40 minutes Exclusion Criteria: - central hyperthermia (e.g., cerebrovascular disease, traumatic brain injury, cerebral operation, epilepsy or acute hydrocephalus) - impaired thermoregulation (e.g., neuroleptic malignant syndrome, malignant hyperthermia, or known hyperthyroidism/hypothyroidism with current thyroid dysfunction - infectious fever - core temperature =38.5 ? attributable to other causes within 3 days before surgery - operation with induced hypothermia (e.g. cardiopulmonary bypass) - unsuited for infrared tympanic thermometry or axillary temperature monitoring - unwilling to give signed consent |
Country | Name | City | State |
---|---|---|---|
China | Department of Anesthesiology, Peking Union Medical College Hospital | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Peking Union Medical College Hospital |
China,
Alba AC, Agoritsas T, Walsh M, Hanna S, Iorio A, Devereaux PJ, McGinn T, Guyatt G. Discrimination and Calibration of Clinical Prediction Models: Users' Guides to the Medical Literature. JAMA. 2017 Oct 10;318(14):1377-1384. doi: 10.1001/jama.2017.12126. — View Citation
Botto F, Alonso-Coello P, Chan MT, Villar JC, Xavier D, Srinathan S, Guyatt G, Cruz P, Graham M, Wang CY, Berwanger O, Pearse RM, Biccard BM, Abraham V, Malaga G, Hillis GS, Rodseth RN, Cook D, Polanczyk CA, Szczeklik W, Sessler DI, Sheth T, Ackland GL, Leuwer M, Garg AX, Lemanach Y, Pettit S, Heels-Ansdell D, Luratibuse G, Walsh M, Sapsford R, Schünemann HJ, Kurz A, Thomas S, Mrkobrada M, Thabane L, Gerstein H, Paniagua P, Nagele P, Raina P, Yusuf S, Devereaux PJ, Devereaux PJ, Sessler DI, Walsh M, Guyatt G, McQueen MJ, Bhandari M, Cook D, Bosch J, Buckley N, Yusuf S, Chow CK, Hillis GS, Halliwell R, Li S, Lee VW, Mooney J, Polanczyk CA, Furtado MV, Berwanger O, Suzumura E, Santucci E, Leite K, Santo JA, Jardim CA, Cavalcanti AB, Guimaraes HP, Jacka MJ, Graham M, McAlister F, McMurtry S, Townsend D, Pannu N, Bagshaw S, Bessissow A, Bhandari M, Duceppe E, Eikelboom J, Ganame J, Hankinson J, Hill S, Jolly S, Lamy A, Ling E, Magloire P, Pare G, Reddy D, Szalay D, Tittley J, Weitz J, Whitlock R, Darvish-Kazim S, Debeer J, Kavsak P, Kearon C, Mizera R, O'Donnell M, McQueen M, Pinthus J, Ribas S, Simunovic M, Tandon V, Vanhelder T, Winemaker M, Gerstein H, McDonald S, O'Bryne P, Patel A, Paul J, Punthakee Z, Raymer K, Salehian O, Spencer F, Walter S, Worster A, Adili A, Clase C, Cook D, Crowther M, Douketis J, Gangji A, Jackson P, Lim W, Lovrics P, Mazzadi S, Orovan W, Rudkowski J, Soth M, Tiboni M, Acedillo R, Garg A, Hildebrand A, Lam N, Macneil D, Mrkobrada M, Roshanov PS, Srinathan SK, Ramsey C, John PS, Thorlacius L, Siddiqui FS, Grocott HP, McKay A, Lee TW, Amadeo R, Funk D, McDonald H, Zacharias J, Villar JC, Cortés OL, Chaparro MS, Vásquez S, Castañeda A, Ferreira S, Coriat P, Monneret D, Goarin JP, Esteve CI, Royer C, Daas G, Chan MT, Choi GY, Gin T, Lit LC, Xavier D, Sigamani A, Faruqui A, Dhanpal R, Almeida S, Cherian J, Furruqh S, Abraham V, Afzal L, George P, Mala S, Schünemann H, Muti P, Vizza E, Wang CY, Ong GS, Mansor M, Tan AS, Shariffuddin II, Vasanthan V, Hashim NH, Undok AW, Ki U, Lai HY, Ahmad WA, Razack AH, Malaga G, Valderrama-Victoria V, Loza-Herrera JD, De Los Angeles Lazo M, Rotta-Rotta A, Szczeklik W, Sokolowska B, Musial J, Gorka J, Iwaszczuk P, Kozka M, Chwala M, Raczek M, Mrowiecki T, Kaczmarek B, Biccard B, Cassimjee H, Gopalan D, Kisten T, Mugabi A, Naidoo P, Naidoo R, Rodseth R, Skinner D, Torborg A, Paniagua P, Urrutia G, Maestre ML, Santaló M, Gonzalez R, Font A, Martínez C, Pelaez X, De Antonio M, Villamor JM, García JA, Ferré MJ, Popova E, Alonso-Coello P, Garutti I, Cruz P, Fernández C, Palencia M, Díaz S, Del Castillo T, Varela A, de Miguel A, Muñoz M, Piñeiro P, Cusati G, Del Barrio M, Membrillo MJ, Orozco D, Reyes F, Sapsford RJ, Barth J, Scott J, Hall A, Howell S, Lobley M, Woods J, Howard S, Fletcher J, Dewhirst N, Williams C, Rushton A, Welters I, Leuwer M, Pearse R, Ackland G, Khan A, Niebrzegowska E, Benton S, Wragg A, Archbold A, Smith A, McAlees E, Ramballi C, Macdonald N, Januszewska M, Stephens R, Reyes A, Paredes LG, Sultan P, Cain D, Whittle J, Del Arroyo AG, Sessler DI, Kurz A, Sun Z, Finnegan PS, Egan C, Honar H, Shahinyan A, Panjasawatwong K, Fu AY, Wang S, Reineks E, Nagele P, Blood J, Kalin M, Gibson D, Wildes T; Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Writing Group, on behalf of The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Investigators; Appendix 1. The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Study Investigators Writing Group; Appendix 2. The Vascular events In noncardiac Surgery patIents cOhort evaluatioN Operations Committee; Vascular events In noncardiac Surgery patIents cOhort evaluatioN VISION Study Investigators. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology. 2014 Mar;120(3):564-78. doi: 10.1097/ALN.0000000000000113. — View Citation
Devereaux PJ, Szczeklik W. Myocardial injury after non-cardiac surgery: diagnosis and management. Eur Heart J. 2020 May 1;41(32):3083-3091. doi: 10.1093/eurheartj/ehz301. — View Citation
National Healthcare Safety Network, Centers for Disease Control and Prevention. Surgical site infection (SSI) event. http://www.cdc.gov/nhsn/pdfs/pscmanual/9pscssicurrent.pdf. Published January 2021. Accessed May 21, 2021.
Pei L, Huang Y, Mao G, Sessler DI. Axillary Temperature, as Recorded by the iThermonitor WT701, Well Represents Core Temperature in Adults Having Noncardiac Surgery. Anesth Analg. 2018 Mar;126(3):833-838. doi: 10.1213/ANE.0000000000002706. — View Citation
Writing Committee for the VISION Study Investigators, Devereaux PJ, Biccard BM, Sigamani A, Xavier D, Chan MTV, Srinathan SK, Walsh M, Abraham V, Pearse R, Wang CY, Sessler DI, Kurz A, Szczeklik W, Berwanger O, Villar JC, Malaga G, Garg AX, Chow CK, Ackland G, Patel A, Borges FK, Belley-Cote EP, Duceppe E, Spence J, Tandon V, Williams C, Sapsford RJ, Polanczyk CA, Tiboni M, Alonso-Coello P, Faruqui A, Heels-Ansdell D, Lamy A, Whitlock R, LeManach Y, Roshanov PS, McGillion M, Kavsak P, McQueen MJ, Thabane L, Rodseth RN, Buse GAL, Bhandari M, Garutti I, Jacka MJ, Schünemann HJ, Cortes OL, Coriat P, Dvirnik N, Botto F, Pettit S, Jaffe AS, Guyatt GH. Association of Postoperative High-Sensitivity Troponin Levels With Myocardial Injury and 30-Day Mortality Among Patients Undergoing Noncardiac Surgery. JAMA. 2017 Apr 25;317(16):1642-1651. doi: 10.1001/jama.2017.4360. — View Citation
Yi J, Zhan L, Lei Y, Xu S, Si Y, Li S, Xia Z, Shi Y, Gu X, Yu J, Xu G, Gu E, Yu Y, Chen Y, Jia H, Wang Y, Wang X, Chai X, Jin X, Chen J, Xu M, Xiong J, Wang G, Lu K, Yu W, Lei W, Qin Z, Xiang J, Li L, Yao M, Huang Y. Establishment and Validation of a Prediction Equation to Estimate Risk of Intraoperative Hypothermia in Patients Receiving General Anesthesia. Sci Rep. 2017 Oct 24;7(1):13927. doi: 10.1038/s41598-017-12997-x. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | occurrence of perioperative hypothermia | core temperature (measured by wireless axillary thermometer) <36.0 ? at any time from admission to the preoperative holding area till discharge from post anesthesia care unit (PACU) | during the perioperative period, an average of 2.5 hours | |
Secondary | amount of blood loss and blood transfusion | amount of blood loss and blood transfusion during the operation | during the operation | |
Secondary | occurrence of shivering and thermal discomfort | shivering and thermal discomfort occurring from admission to the preoperative holding area till discharge from post anesthesia care unit (PACU) | during the perioperative period, an average of 2.5 hour | |
Secondary | duration of hospitalization | time from hospital admission to hospital discharge | during hospitalization, an average of 10 days | |
Secondary | occurrence of myocardial injury non-cardiac surgery (MINS) | (1) a non-high-sensitivity troponin T =30ng/L, or (2) a high-sensitivity troponin T (hsTnT) =65ng/L, or (3) a hsTnT of 20 to <65 ng/L with an absolute change of at least 5 ng/L, or (4) an elevation as any value above the 99th percentile upper reference limit for troponin I [4-6] | during 3 days after the operation | |
Secondary | occurrence of surgical site infection (SSI) | definition of SSI is according to the CDC criterion in 2021 [7] | during 30 days after the operation | |
Secondary | occurrence of death | death occurring in 30 days after the operation | during 30 days after the operation |
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