Heart rate variability and mortality in critically ill COVID-19 pneumonia patients

被引:1
作者
Komaenthammasophon, Chalermchai [1 ,2 ]
Pachinburavan, Monvasi [1 ]
Chokesuwattanaskul, Ronpichai [2 ,3 ]
机构
[1] Chulalongkorn Univ, King Chulalongkorn Mem Hosp, Div Crit Care Med, Dept Med,Fac Med, Bangkok, Thailand
[2] Chulalongkorn Univ, King Chulalongkorn Mem Hosp, Div Cardiol, Dept Med,Fac Med, Bangkok, Thailand
[3] Chulalongkorn Univ, King Chulalongkorn Mem Hosp, Fac Med, Ctr Excellence Arrhythmia Res,Cardiac Ctr, Bangkok, Thailand
关键词
Heart rate variability; COVID-19; Pneumonia; Mortality; AUTONOMIC FUNCTION;
D O I
10.1016/j.heliyon.2024.e34842
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Heart rate variability (HRV) has prognostic value for predicting mortality in both cardiovascular and sepsis patients. Decreased HRV has been associated with increased mortality and morbidity. However, the prognostic significance of HRV in critically ill patients COVID-19 pneumonia still remains unknown. The current study aimed to (1) evaluate prognostic utility of HRV parameters on outcomes in patients with severe COVID-19 pneumonia and (2) assess the correlation between HRV parameters and inflammatory markers. Methods: Consecutive critically ill patients with COVID-19 pneumonia admitted to a tertiary referral intensive care unit from October 2021 to June 2022 in Bangkok, Thailand were enrolled. HRV parameters over the 24 h following intensive care unit admission were recorded using telemetry and analyzed using the Holter program (Philips Holter 2010 Plus/1810 Series). Receiver-operating characteristic (ROC) curve analysis was used to determine optimum threshold cutoffs of various HRV parameters. Formal comparisons of in-hospital mortality between patients with and without a decrease in HRV were performed using Cox regression after adjusting for potential confounders. Results: A total of 65 patients were enrolled in the study. Patients were classified into two groups: survivors (n = 44, 68 %) and non-survivors (n = 21, 32 %). The standard deviation of normal-to-normal intervals (SDNN) was significantly lower in non-survivors than in survivors (70.30 vs. 105.95; p = 0.03). The SDNN predicted in-hospital mortality with an area under the ROC curve of 0.67 (95 % CI 0.55-0.79). At a cutoff of 70 ms, the SDNN showed a sensitivity and specificity of 0.48 and 0.86. The low SDNN group (<70 ms) demonstrated higher median ferritin, IL-6, and hs-C-reactive protein levels than did the normal SDNN group, although such differences did not reach statistical significance (1139.0 vs. 508.4; p = 0.137 and 91.2 vs. 64.4; p = 0.352, respectively). After adjusting for potential confounders in the multivariable model, the adjusted hazard ratio for in-hospital mortality in those with SDNN <70 ms was 3.70 (95 % CI 1.34-10.24). Conclusion: A decrease in SDNN, a commonly used HRV parameter, was associated with mortality and inflammatory biomarkers in critically ill patients with COVID-19 pneumonia.
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页数:7
相关论文
共 21 条
[1]   Heart rate variability: a review [J].
Acharya, U. Rajendra ;
Joseph, K. Paul ;
Kannathal, N. ;
Lim, Choo Min ;
Suri, Jasjit S. .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2006, 44 (12) :1031-1051
[2]   Continuous Multi-Parameter Heart Rate Variability Analysis Heralds Onset of Sepsis in Adults [J].
Ahmad, Saif ;
Ramsay, Tim ;
Huebsch, Lothar ;
Flanagan, Sarah ;
McDiarmid, Sheryl ;
Batkin, Izmail ;
McIntyre, Lauralyn ;
Sundaresan, Sudhir R. ;
Maziak, Donna E. ;
Shamji, Farid M. ;
Hebert, Paul ;
Fergusson, Dean ;
Tinmouth, Alan ;
Seely, Andrew J. E. .
PLOS ONE, 2009, 4 (08)
[3]   Prognostic value of heart rate variability in time domain analysis in congestive heart failure [J].
Boveda, S ;
Galinier, M ;
Pathak, A ;
Fourcade, J ;
Dongay, B ;
Benchendikh, D ;
Massabuau, P ;
Fauvel, JM ;
Senard, JM ;
Bounhoure, JP .
JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY, 2001, 5 (02) :181-187
[4]  
Camm AJ, 1996, CIRCULATION, V93, P1043
[5]   Features of 20133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study [J].
Docherty, Annemarie B. ;
Harrison, Ewen M. ;
Green, Christopher A. ;
Hardwick, Hayley E. ;
Pius, Riinu ;
Norman, Lisa ;
Holden, Karl A. ;
Read, Jonathan M. ;
Dondelinger, Frank ;
Carson, Gail ;
Merson, Laura ;
Lee, James ;
Plotkin, Daniel ;
Sigfrid, Louise ;
Halpin, Sophie ;
Jackson, Clare ;
Gamble, Carrol ;
Horby, Peter W. ;
Nguyen-Van-Tam, Jonathan S. ;
Ho, Antonia ;
Russell, Clark D. ;
Dunning, Jake ;
Openshaw, Peter Jm ;
Baillie, J. Kenneth ;
Semple, Malcolm G. .
BMJ-BRITISH MEDICAL JOURNAL, 2020, 369
[6]   Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy [J].
Grasselli, Giacomo ;
Zangrillo, Alberto ;
Zanella, Alberto ;
Antonelli, Massimo ;
Cabrini, Luca ;
Castelli, Antonio ;
Cereda, Danilo ;
Coluccello, Antonio ;
Foti, Giuseppe ;
Fumagalli, Roberto ;
Iotti, Giorgio ;
Latronico, Nicola ;
Lorini, Luca ;
Merler, Stefano ;
Natalini, Giuseppe ;
Piatti, Alessandra ;
Ranieri, Marco Vito ;
Scandroglio, Anna Mara ;
Storti, Enrico ;
Cecconi, Maurizio ;
Pesenti, Antonio .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (16) :1574-1581
[7]   Heart Rate Variability Parameters Indicate Altered Autonomic Tone in Patients with COVID-19 [J].
Gruionu, Gabriel ;
Gupta, Anita ;
Rattin, Megan ;
Nowak, Thomas V. ;
Ward, Matthew ;
Everett, Thomas H. .
FASEB JOURNAL, 2022, 36
[8]   Heart Rate Variability as a Possible Predictive Marker for Acute Inflammatory Response in COVID-19 Patients [J].
Hasty, Frederick ;
Garcia, Guillermo ;
Davila, Hector ;
Wittels, S. Howard ;
Hendricks, Stephanie ;
Chong, Stephanie .
MILITARY MEDICINE, 2021, 186 (1-2) :E34-E38
[9]   Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study [J].
Hirten, Robert P. ;
Danieletto, Matteo ;
Tomalin, Lewis ;
Choi, Katie Hyewon ;
Zweig, Micol ;
Golden, Eddye ;
Kaur, Sparshdeep ;
Helmus, Drew ;
Biello, Anthony ;
Pyzik, Renata ;
Charney, Alexander ;
Miotto, Riccardo ;
Glicksberg, Benjamin S. ;
Levin, Matthew ;
Nabeel, Ismail ;
Aberg, Judith ;
Reich, David ;
Charney, Dennis ;
Bottinger, Erwin P. ;
Keefer, Laurie ;
Suarez-Farinas, Mayte ;
Nadkarni, Girish N. ;
Fayad, Zahi A. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (02)
[10]  
Horby P, 2021, NEW ENGL J MED, V384, P693, DOI [10.1056/NEJMoa2021436, 10.1056/NEJMoa2022926]