tetano
Editor, Senior Moderator
Infect Drug Resist
. 2024 Jan 18:17:161-170.
doi: 10.2147/IDR.S432198. eCollection 2024. Combination of rRT-PCR and Clinical Features to Predict Coronavirus Disease 2019 for Nosocomial Infection Control
Fumihiro Yamaguchi[SUP] 1 [/SUP], Ayako Suzuki[SUP] 2 [/SUP], Miyuki Hashiguchi[SUP] 3 [/SUP], Emiko Kondo[SUP] 3 [/SUP], Atsuo Maeda[SUP] 4 [/SUP], Takuya Yokoe[SUP] 1 [/SUP], Jun Sasaki[SUP] 4 [/SUP], Yusuke Shikama[SUP] 1 [/SUP], Munetaka Hayashi[SUP] 4 [/SUP], Sei Kobayashi[SUP] 5 [/SUP], Hiroshi Suzuki[SUP] 6 [/SUP]
Affiliations
Background: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), immediately became a pandemic. Therefore, nosocomial infection control is necessary to screen for patients with possible COVID-19.
Objective: This study aimed to investigate commonly measured clinical variables to predict COVID-19.
Methods: This cross-sectional study enrolled 1087 patients in the isolation ward of a university hospital. Conferences were organized to differentiate COVID-19 from non-COVID-19 cases, and multiple nucleic acid tests were mandatory when COVID-19 could not be excluded. Multivariate logistic regression models were employed to determine the clinical factors associated with COVID-19 at the time of hospitalization.
Results: Overall, 352 (32.4%) patients were diagnosed with COVID-19. The majority of the non-COVID-19 cases were predominantly caused by bacterial infections. Multivariate analysis indicated that COVID-19 was significantly associated with age, sex, body mass index, lactate dehydrogenase, C-reactive protein, and malignancy.
Conclusion: Some clinical factors are useful to predict patients with COVID-19 among those with symptoms similar to COVID-19. This study suggests that at least two real-time reverse-transcription polymerase chain reactions of SARS-CoV-2 are recommended to exclude COVID-19.
Keywords: Japan; coronavirus disease 2019; cross sectional study; nosocomial infection control; nucleic acid test; obesity; severe acute respiratory syndrome coronavirus-2.
. 2024 Jan 18:17:161-170.
doi: 10.2147/IDR.S432198. eCollection 2024. Combination of rRT-PCR and Clinical Features to Predict Coronavirus Disease 2019 for Nosocomial Infection Control
Fumihiro Yamaguchi[SUP] 1 [/SUP], Ayako Suzuki[SUP] 2 [/SUP], Miyuki Hashiguchi[SUP] 3 [/SUP], Emiko Kondo[SUP] 3 [/SUP], Atsuo Maeda[SUP] 4 [/SUP], Takuya Yokoe[SUP] 1 [/SUP], Jun Sasaki[SUP] 4 [/SUP], Yusuke Shikama[SUP] 1 [/SUP], Munetaka Hayashi[SUP] 4 [/SUP], Sei Kobayashi[SUP] 5 [/SUP], Hiroshi Suzuki[SUP] 6 [/SUP]
Affiliations
- PMID: 38260181
- PMCID: PMC10802122
- DOI: 10.2147/IDR.S432198
Background: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), immediately became a pandemic. Therefore, nosocomial infection control is necessary to screen for patients with possible COVID-19.
Objective: This study aimed to investigate commonly measured clinical variables to predict COVID-19.
Methods: This cross-sectional study enrolled 1087 patients in the isolation ward of a university hospital. Conferences were organized to differentiate COVID-19 from non-COVID-19 cases, and multiple nucleic acid tests were mandatory when COVID-19 could not be excluded. Multivariate logistic regression models were employed to determine the clinical factors associated with COVID-19 at the time of hospitalization.
Results: Overall, 352 (32.4%) patients were diagnosed with COVID-19. The majority of the non-COVID-19 cases were predominantly caused by bacterial infections. Multivariate analysis indicated that COVID-19 was significantly associated with age, sex, body mass index, lactate dehydrogenase, C-reactive protein, and malignancy.
Conclusion: Some clinical factors are useful to predict patients with COVID-19 among those with symptoms similar to COVID-19. This study suggests that at least two real-time reverse-transcription polymerase chain reactions of SARS-CoV-2 are recommended to exclude COVID-19.
Keywords: Japan; coronavirus disease 2019; cross sectional study; nosocomial infection control; nucleic acid test; obesity; severe acute respiratory syndrome coronavirus-2.