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SARS-CoV-2 Blood RNA Load Predicts Outcome in Critically Ill COVID-19 Patients.
Heinrich, Fabian; Nentwich, Michael F; Bibiza-Freiwald, Eric; Nörz, Dominik; Roedl, Kevin; Christner, Martin; Hoffmann, Armin; Olearo, Flaminia; Kluge, Stefan; Aepfelbacher, Martin; Wichmann, Dominic; Lütgehetmann, Marc; Pfefferle, Susanne.
Affiliation
  • Heinrich F; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Nentwich MF; Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Bibiza-Freiwald E; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Nörz D; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Roedl K; Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Christner M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Hoffmann A; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Olearo F; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Kluge S; Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Aepfelbacher M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Wichmann D; Department of Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Lütgehetmann M; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Pfefferle S; Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Open Forum Infect Dis ; 8(11): ofab509, 2021 Nov.
Article in En | MEDLINE | ID: mdl-34796247
BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA loads in patient specimens may act as a clinical outcome predictor in critically ill patients with coronavirus disease 2019 (COVID-19). METHODS: We evaluated the predictive value of viral RNA loads and courses in the blood compared with the upper and lower respiratory tract loads of critically ill COVID-19 patients. Daily specimen collection and viral RNA quantification by reverse transcription quantitative polymerase chain reaction were performed in all consecutive 170 COVID-19 patients between March 2020 and February 2021 during the entire intensive care unit (ICU) stay (4145 samples analyzed). Patients were grouped according to their 90-day outcome as survivors (n=100) or nonsurvivors (n=70). RESULTS: In nonsurvivors, blood SARS-CoV-2 RNA loads were significantly higher at the time of admission to the ICU (P=.0009). Failure of blood RNA clearance was observed in 33/50 (66%) of the nonsurvivors compared with 12/64 (19%) survivors (P<.0001). As determined by multivariate analysis, taking sociodemographic and clinical parameters into account, blood SARS-CoV-2 RNA load represents a valid and independent predictor of outcome in critically ill COVID-19 patients (odds ratio [OR; log10], 0.23; 95% CI, 0.12-0.42; P<.0001), with a significantly higher effect for survival compared with respiratory tract SARS-CoV-2 RNA loads (OR [log10], 0.75; 95% CI, 0.66-0.85; P<.0001). Blood RNA loads exceeding 2.51×103 SARS-CoV-2 RNA copies/mL were found to indicate a 50% probability of death. Consistently, 29/33 (88%) nonsurvivors with failure of virus clearance exceeded this cutoff value constantly. CONCLUSIONS: Blood SARS-CoV-2 load is an important independent outcome predictor and should be further evaluated for treatment allocation and patient monitoring.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Open Forum Infect Dis Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Open Forum Infect Dis Year: 2021 Document type: Article Affiliation country: Country of publication: