187
Views
0
CrossRef citations to date
0
Altmetric
Meta-analysis

Rapid systematic review of respiratory rate as a vital sign of clinical deterioration in COVID-19

ORCID Icon & ORCID Icon
Pages 1227-1236 | Received 24 May 2022, Accepted 12 Jan 2023, Published online: 22 Jan 2023

References

  • Miller DJ, Capodilupo JV, Lastella M, et al. Analysing changes in respiratory rate to predict the risk of COVID-19 infection. PLOS ONE. 2020;15(12):e0243693.
  • Channa A, Popescu N, Skibinska J, et al. The rise of wearable devices during the COVID-19 pandemic: a systematic review. Sensors. 2021;21(17):5787.
  • Bolourani S, Brenner M, Wang P, et al. A machine learning prediction model of respiratory failure within 48 hours of patient admission for COVID-19: model development and validation. J Med Internet Res. 2021;23(2):e24246.
  • Manta C, Jain SS, Coravos A, et al. An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID-19. Clin Transl Sci. 2020;13(6):1034–1044.
  • Yu L, Halalau A, Dalal B, et al. Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19. PLOS ONE. 2021;16(4):e0249285.
  • Das A, Ambastha S, Sen S, et al. Wearable system for Real-time Remote Monitoring of Respiratory Rate during Covid-19 using Fiber Bragg Grating. IEEE 17th India Council International Conference (INDICON), December 11, 2020, New Delhi, India, 2020;1–4. DOI:10.1109/INDICON49873.2020.9342312
  • Puah SH, Young BE, Chia PY, et al. Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore. Sci Rep. 2021;11(1):7477.
  • Demir CM, Ilhan B. Performance of the Pandemic Medical Early Warning Score (PMEWS), Simple Triage Scoring System (STSS) and Confusion, Uremia, Respiratory rate, Blood pressure and age ≥ 65 (CURB-65) score among patients with COVID-19 pneumonia in an emergency department triage setting: a retrospective study. Sao Paulo Med J. 2021;139(2):170–177.
  • Krieger J, McGuire F, Risa E, et al. Emergency department characteristics and associations with intensive care admission among patients with coronavirus disease 2019. JACEP Open. 2021;2(1):e12350.
  • Azer AS. COVID-19: pathophysiology, diagnosis, complications and investigational therapeutics. New Microbes New Infect. 2020;37:e100738.
  • Ganann R, Ciliska D, Thomas H. Expediting systematic reviews: methods and implications of rapid reviews. Implement Sci. 2010;5(1):56.
  • Thomas JKD, McKenzie JE, Brennan SE, et al. Determining the scope of the review and the questions it will addressIn: Higgins JPT TJ, Chandler J, Cumpston M, Li T, Page MMJ, Welch VA, editors. Cochrane Handbook for Systematic Reviews of Interventions version 6.2: cochrane, 6.2. London: Wiley; 2021. p. 13–31. https://training.cochrane.org/handbook/current/chapter-02
  • Guyatt G, Oxman AD, Akl EA, et al. GRADE guidelines: 1 Introduction - GRADE evidence profiles and summary of findings tables’. J Clinical Epidemiology. 2011;64(4):383–394
  • Bramer WM, de Jonge GB, Rethlefsen ML, et al. A systematic approach to searching: an efficient and complete method to develop literature searches. J Med Libr Assoc. 2018;106(4):531–541.
  • Bondemark L, Ruf S. Randomized controlled trial: the gold standard or an unobtainable fallacy? Eur J Orthod. 2015 Oct;37(5):457–461. Epub 2015 Jul 1.
  • Black J, Gerdtz M, Nicholson P, et al. Can simple mobile phone applications provide reliable counts of respiratory rates in sick infants and children? An initial evaluation of three new applications. International Journal of Nursing Studies. 2015;52(6):963–969.
  • Alkaabi S, Alnuaimi A, Alharbi M, et al. A clinical risk score to predict in-hospital mortality in critically ill patients with COVID-19: a retrospective cohort study. BMJ Open. 2021;11(8):e048770.
  • Bahl A, Van Baalen MN, Ortiz L, et al. Early predictors of in-hospital mortality in patients with COVID-19 in a large American cohort. Intern Emerg Med. 2020;15(8):1485–1499.
  • Barry M, Alotaibi M, Almohaya A, et al. Factors associated with poor outcomes among hospitalised patients with COVID-19: experience from a MERS-CoV referral hospital. Journal of Infection and Public Health. 2021;14(11):1658–1665.
  • *Bello-Chavolla OY, Antonio-Villa NE, Ortiz-Brizuela E, et al. Validation and repurposing of the MSL-COVID-19 score for prediction of severe COVID-19 using simple clinical predictors in a triage setting: the Nutri-CoV score. PLOS ONE. 2020;15(12):e0244051 This paper is a good example of how respiratory rate and SpO2 functions within a multifactoral scoring system. .
  • Bradley P, Frost F, Tharmaratnam KNW, et al. Utility of established prognostic scores in COVID-19 hospital admissions: multicentre prospective evaluation of CURB-65, NEWS2 and qSOFA. BMJ Open Respiratory Research. 2020;7(1):e000729.
  • Chatterjee NA, Jensen PN, Harris AW, et al. Admission respiratory status predicts mortality in COVID-19. Influenza Other Respi Viruses. 2021;15(5):569–579.
  • Ning C, Rongdi Y, Chunyuan Q, et al. Clinical Characteristics and Immune Responses of 137 Deceased Patients With COVID-19: a Retrospective Study. Frontiers in Cellular and Infection Microbiology. 2020;10:e10:595333 https://www.frontiersin.org/article/10.3389/fcimb.2020.595333 [Accessed 22 Jun 06]
  • Ebell Mark H, Cai X, Lennon R, et al. Development and Validation of the COVID-NoLab and COVID-SimpleLab Risk Scores for Prognosis in 6 U.S. Health Systems. The Journal of the American Board of Family Medicine February. 2021;34(Supplement):S127–S135.
  • Ferrando-Vivas P, Doidge J, Thomas K, et al. Prognostic Factors for 30-Day Mortality in Critically Ill Patients With Coronavirus Disease 2019: an Observational Cohort Study. Crit Care Med. 2021;49(1):102–111.
  • Fisher M, Neugarten J, Bellin E, et al. AKI in Hospitalised Patients with and without COVID-19: a Comparison Study. JASN. 2020;31(9):2145–2157.
  • Fumagalli C, Rozzini R, Vannini M, et al. Clinical risk score to predict in-hospital mortality in COVID-19 patients: a retrospective cohort study. BMJ Open. 2020;10(9):e040729.
  • Galloway J, Norton S, Barker RD, et al. A clinical risk score to identify patients with COVID-19 at high risk of critical care admission or death: an observational cohort study. J Infect. 2020;81(2):282–288.
  • He F, Quan Y, Lei M, et al. Clinical features and risk factors for ICU admission in COVID-19 patients with cardiovascular diseases. Aging Dis. 2020;11(4):763–769.
  • Jain AC, Kansal S, Sardana R, et al. Retrospective Observational Study to Determine the Early Predictors of In-hospital Mortality at Admission with COVID-19. Indian J Crit Care Med. 2020;24(12):1174–1179.
  • Mälberg J, Hadziosmanovic N, Smekal D. Physiological respiratory parameters in pre-hospital patients with suspected COVID-19: a prospective cohort study. PLOS ONE. 2021;16(9):e0257018.
  • Mudatsir M, Fajar JK, Wulandari L, et al. Predictors of COVID-19 severity: a systematic review and meta-analysis. F1000Res. 2020;9:1107–1134.
  • Nabavi S, Javidarabshahi Z, Allahyari A, et al. Clinical features and disease severity in an Iranian population of inpatients with COVID-19. Sci Rep. 2021;11(1):8731.
  • Nlandu Y, Mafuta D, Sakaji J, et al. Predictors of mortality in COVID-19 patients at Kinshasa Medical Center and a survival analysis: a retrospective cohort study. BMC Infect Dis. 2021;21(1):1272.
  • Padmaprakash KV, Vardhan V, Thareja S, et al. Clinical characteristics and clinical predictors of mortality in hospitalised patients of COVID 19: an Indian study. Med J. Armed Forces India. 2021;77(Supplement2):S319–S332.
  • Prower N, Grant D, Bisquera A, et al. The ROX index has greater predictive validity than NEWS2 for deterioration in Covid-19. EClinicalMedicine. 2021;35(100828). DOI:10.1016/j.eclinm.2021.100828.
  • Rahimzadeh P, Faiz HR, Farahmandrad R, et al. Clinical Features and Prognosis of Invasive Ventilation in Hospitalised Patients with COVID-19: a Retrospective Study. Anesth Pain Med. 2020;10(6):e108773.
  • Suresh S, Tiwari A, Mathew R, et al. Predictors of mortality and the need of mechanical ventilation in confirmed COVID-19 patients presenting to the emergency department in North India. J Family Med Prim Care. 2021;10(1):542–549.
  • Tayal M, Mukherjee A, Chauhan U, et al. Evaluation of Remote Monitoring Device for Monitoring Vital Parameters against Reference Standard: a Diagnostic Validation Study for COVID-19 Preparedness. Indian J Commun Med. 2020;45(2):235–239.
  • Zhang J, Yu M, Tong S, et al. Predictive factors for disease progression in hospitalised patients with coronavirus disease 2019 in Wuhan, China. J Clin Virol. 2020;127:104392.
  • Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–1062.
  • Zhou S, Mi S, Luo S, et al. Risk Factors for Mortality in 220 Patients With COVID-19 in Wuhan, China: a Single-Center, Retrospective Study.Ear, Nose & Throat Journal. 2021;100(2_suppl):140S–147S.
  • Choi MH, Ahn H, Ryu HS, et al. Clinical Characteristics and Disease Progression in Early-Stage COVID-19 Patients in South Korea. J Clin Med. 2020;9(6):959.
  • Liu W, Zhao-Wu T, Lei W, et al. Analysis of factors associated with disease outcomes in hospitalised patients with 2019 novel coronavirus disease. Chin Med J. 2020;133(9):1032–1038. Accessed 22 Jun 06.
  • Mendes A, Serratrice C, Herrmann FR, et al. Predictors of In-Hospital Mortality in Older Patients With COVID-19: the COVIDAge Study. J Am Med Dir Assoc. 2020;21(11):1546–1554.e3.
  • Michaud A, Vadeboncoeur A, Cloutier L, et al. The feasibility of home self-assessment of vital signs and symptoms: a new key to telehealth for individuals? Int J Med Inform. 2021;155:104602.
  • Stow D, Barker RO, Matthews FE, et al. National Early Warning Scores and COVID-19 deaths in care homes: an ecological time-series study. BMJ Open. 2021;11(9):e045579.
  • Sun H, Jain A, Leone MJ, et al. COVID-19 Outpatient Screening: a Prediction Score for Adverse Events. MedRxiv: the preprint server for health sciences. 2020; 06.17.20134262[preprint]. DOI:10.1101/2020.06.17.20134262
  • Booth A, Reed AB, Ponzo S, et al. Population risk factors for severe disease and mortality in covid-19: aglobal systematic review and meta-analysis. PLoS ONE. 2021;16(3):e0247461.
  • Knight SR, Ho A, Pius R, et al. Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ. 2020;370:m3339.
  • Incerti D, Rizzo S, Li X, et al. Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA. BMJ Open. 2021;11(4):e047121.
  • Chen A, Zhao Z, Hou W, et al. Time-to-Death Longitudinal Characterization of Clinical Variables and Longitudinal Prediction of Mortality in COVID-19 Patients: a Two-Center Study. Front Med. 2021;8:e661940.
  • Procter BC, Ross C, Pickard V, et al. Early Ambulatory Multidrug Therapy Reduces Hospitalization and Death in High-Risk Patients with SARS-CoV-2 (COVID-19). International Journal of Innovative Research in Medical Science. 2021;6(3):219–221. Accessed 22 Jun 06
  • McCullough PA, Vijay K. SARS-CoV-2 infection and the COVID-19 pandemic: a call to action for therapy and interventions to resolve the crisis of hospitalisation, death, and handle the aftermath. Rev Cardiovasc Med. 2021;22(1);9–10. PMID: 33792243. https://rcm.imrpress.com/EN/10.31083/j.rcm.2021.01.301 [ Accessed
  • Alexander PE, Armstrong R, Fareed G, et al. Early multidrug treatment of SARS-CoV-2 infection (COVID-19) and reduced mortality among nursing home (or outpatient/ambulatory) residents. Med Hypotheses. 2021;153:e110622. Epub 2021 Jun 5. PMID: 34130113; PMCID: PMC8178530.
  • Procter BC, Ross C, Pickard V, et al. Clinical outcomes after early ambulatory multidrug therapy for high-risk SARS-CoV-2 (COVID-19) infection. Rev Cardiovasc Med. 2020;21(4):611–614.
  • McCullough PA, Alexander PE, Armstrong R, et al. Multifaceted highly targeted sequential multidrug treatment of early ambulatory high-risk SARS-CoV-2 infection (COVID-19). Rev Cardiovasc Med. 2020;21(4):517–530.
  • van Klaveren D, Rekkas A, Alsma J, et al. COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19. BMJ Open. 2021;11(9):e051468.
  • Garnier M, Blez D. ROX monitoring in critical COVID-19 patients treated with high flow oxygen: a real added value compared to the respiratory rate? Pulmonology. 2021;27(5):474.
  • Massaroni C, Nicolò A, Schena E, et al. Remote Respiratory Monitoring in the Time of COVID-19. Front Physiol. 2020;11:635.
  • Greenhalgh T, Thompson P, Weiringa S, et al. What items should be included in an early warning score for remote assessment of suspected COVID-19? qualitative and Delphi study. BMJ Open. 2020;10:e042626.
  • Gessler N, Gunawardene MA, Wohlmuth P, et al. Clinical outcome, risk assessment, and seasonal variation in hospitalized COVID-19 patients—Results from the Corona Germany study. PLOS ONE. 2021;16(6):e0252867.
  • Rechtman E, Curtin P, Navarro E, et al. Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system. Sci Rep. 2020;10(1):e21545.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.