The impact of vital signs on the death of patients with new coronavirus pneumonia: A systematic review and meta-analysis
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Abstract
Background
Assessing the impact of vital signs (blood pressure, body temperature, heart rate, respiratory rate, and oxygen saturation) on the death of patients with new coronavirus pneumonia would provide a simple and convenient method for the monitoring of subsequent illness, and therefore, in some degree reduce treatment costs and increase the cure rate clinically.
Methods
Six databases were retrieved. The software R 3.6.2 was used for meta-analysis of the included literature.
Results
12 studies were included, which comprise 8996 patients affected with COVID-19 infection. The meta-analysis study found that blood pressure (MAP, SBP and DBP), heart rate, respiration rate and SpO2 are the risk factors for disease progression in patients with COVID-19. Among them, the increase in MAP and the decrease in SpO2 have the greatest impact on the death of patients with COVID-19 [MAP: MD = 5.66, 95% CI (0.34, 10.98), SpO2: MD = −5.87, 95% CI (−9.17, −2.57), P = 0.0005]. However, comparing the body temperature of the death group and the survival group found that the body temperature was not statistically significant between the two groups [body temperature: MD = 0.21, 95% CI (−0.01, 0.43), P = 0.0661].
Conclusion
The increase in MAP, heart rate and respiratory rate, as well as the decrease in SBP, DBP and SpO2 are all independent risk factors for death in patients with COVID-19. These factors are simple and easy to monitor, and individualized treatment can be given to patients in time, reducing the mortality rate and improving treatment efficiency.
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SciScore for 10.1101/2020.09.17.20196709: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization The inclusion criteria were as follows: (1) COVID-19 diagnosed patients; (2) the endpoint was well-defined, involving death and non-death patients; (3) study designs included randomized controlled trials, nonunionized controlled trials, case-control studies, cohort studies, cross-sectional studies, and also case reports; (4) the sample size of the study was greater than 20. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Search policy and selection criteria: Applying the method of combining the keywords and the abstracts, six databases … SciScore for 10.1101/2020.09.17.20196709: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization The inclusion criteria were as follows: (1) COVID-19 diagnosed patients; (2) the endpoint was well-defined, involving death and non-death patients; (3) study designs included randomized controlled trials, nonunionized controlled trials, case-control studies, cohort studies, cross-sectional studies, and also case reports; (4) the sample size of the study was greater than 20. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Search policy and selection criteria: Applying the method of combining the keywords and the abstracts, six databases including PubMed, Scopus, Embase, CNKI, China biomedical literature database (CBM), and WanFang data knowledge service platform were explored by computer to assemble relevant studies analyzing the factors affecting the death of COVID-19 published from January 1, 2020, to July 16, 2020. were also reviewed to obtain relevant studies. PubMedsuggested: (PubMed, RRID:SCR_004846)Data Extraction: Two researchers (Du MX & Zhang ND) independently completed literature selection, data extraction, and cross-checking using Endnote 8.0 and Microsoft Excel software. Endnotesuggested: (EndNote, RRID:SCR_014001)Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)In order to increase the number of studies, according to the Cochrane 4.2 user manual, when the sample size was large (n ≥ 30), the median was used as the mean value, SD = (upper-lower limit)/1.35, and the data from the included literature were analyzed using mean and SD. Cochranesuggested: (Cochrane Library, RRID:SCR_013000)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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SciScore for 10.1101/2020.09.17.20196709: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization The inclusion criteria were as follows: (1) COVID-19 diagnosed patients; (2) the endpoint was well-defined, involving death and non-death patients; (3) study designs included randomized controlled trials, nonunionized controlled trials, case-control studies, cohort studies, cross-sectional studies, and also case reports; (4) the sample size of the study was greater than 20. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data Extraction Two researchers (Du MX & Zhang ND) independently completed literature selection, data extraction, and … SciScore for 10.1101/2020.09.17.20196709: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization The inclusion criteria were as follows: (1) COVID-19 diagnosed patients; (2) the endpoint was well-defined, involving death and non-death patients; (3) study designs included randomized controlled trials, nonunionized controlled trials, case-control studies, cohort studies, cross-sectional studies, and also case reports; (4) the sample size of the study was greater than 20. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data Extraction Two researchers (Du MX & Zhang ND) independently completed literature selection, data extraction, and cross-checking using Endnote 8.0 and Microsoft Excel software. Endnotesuggested: (EndNote, RRID:SCR_014001)The database was developed with the aid of Microsoft Excel and the data extracted primarily included: the first author, publication time, the study design type, vital signs, and the detailed information of markers. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)In order to increase the number of studies, according to the Cochrane 4.2 user manual, when the sample size was large (n ≥ 30), the median was used as the mean value, SD = (upper-lower limit)/1.35, and the data from the included literature were analyzed using mean and SD. Cochranesuggested: (Cochrane Library, RRID:SCR_013000)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
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