Prognostic Predictors For COVID-19 in Daily Clinical Practice in Japan: a Propensity Score-Matched Case-Control Study
Abstract Introduction: Blood tests and computed tomography (CT) findings at diagnosis are widely used in daily clinical practice and can offer useful prognostic factors for coronavirus disease 2019.Methods: We retrospectively evaluated 66 patients who underwent a blood test and CT between January 1 and May 31, 2020, and performed a propensity score-matched case-control study. Cases and controls were a severe respiratory failure group (non-rebreather mask, nasal high-flow, positive-pressure ventilation) and a non-severe respiratory failure group, matched at a ratio of 1:3 by propensity scores constructed by age, sex, and medical history. We compared groups for maximum body temperature up to diagnosis, laboratory findings, and CT findings in the matched cohort. Two-tailed P-values <0.05 were considered statistically significant.Results: Nine cases and 27 controls were included in the matched cohort. Significant differences were seen in maximum body temperature up to diagnosis (p=0.0043), the number of shaded lobes (p=0.0434), amount of ground-glass opacity (GGO) in the total lung field (p=0.0071), amounts of GGO (p=0.0001), and consolidation (p=0.0036) in the upper lung field, and pleural effusion (p=0.0117).Conclusions: Fever and CT findings (such as GGO and consolidation) may be prognostic indicators that can be easily measured at diagnosis..
| Medienart: |
|
|---|
Preprint| Erscheinungsjahr: |
2022 |
|---|---|
| Erschienen: |
2022 |
| Enthalten in: |
ResearchSquare.com - (2022) vom: 01. März Zur Gesamtaufnahme - year:2022 |
|---|
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Shinoda, Masahiro [VerfasserIn] |
|---|
| Links: |
Volltext [kostenfrei] |
|---|
| doi: |
10.21203/rs.3.rs-917302/v1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
XRA034466142 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | XRA034466142 | ||
| 003 | DE-627 | ||
| 005 | 20230429191953.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220113s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.21203/rs.3.rs-917302/v1 |2 doi | |
| 035 | |a (DE-627)XRA034466142 | ||
| 035 | |a (ResearchSquare)10.21203/rs.3.rs-917302/v1 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 570 |q DE-84 | |
| 100 | 1 | |a Shinoda, Masahiro |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Prognostic Predictors For COVID-19 in Daily Clinical Practice in Japan: a Propensity Score-Matched Case-Control Study |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Abstract Introduction: Blood tests and computed tomography (CT) findings at diagnosis are widely used in daily clinical practice and can offer useful prognostic factors for coronavirus disease 2019.Methods: We retrospectively evaluated 66 patients who underwent a blood test and CT between January 1 and May 31, 2020, and performed a propensity score-matched case-control study. Cases and controls were a severe respiratory failure group (non-rebreather mask, nasal high-flow, positive-pressure ventilation) and a non-severe respiratory failure group, matched at a ratio of 1:3 by propensity scores constructed by age, sex, and medical history. We compared groups for maximum body temperature up to diagnosis, laboratory findings, and CT findings in the matched cohort. Two-tailed P-values <0.05 were considered statistically significant.Results: Nine cases and 27 controls were included in the matched cohort. Significant differences were seen in maximum body temperature up to diagnosis (p=0.0043), the number of shaded lobes (p=0.0434), amount of ground-glass opacity (GGO) in the total lung field (p=0.0071), amounts of GGO (p=0.0001), and consolidation (p=0.0036) in the upper lung field, and pleural effusion (p=0.0117).Conclusions: Fever and CT findings (such as GGO and consolidation) may be prognostic indicators that can be easily measured at diagnosis. | ||
| 700 | 1 | |a Ota, Shinichiro |e verfasserin |4 aut | |
| 700 | 1 | |a Yoshida, Yuto |e verfasserin |4 aut | |
| 700 | 1 | |a Hirouchi, Takatomo |e verfasserin |4 aut | |
| 700 | 1 | |a Shinada, Kanako |e verfasserin |4 aut | |
| 700 | 1 | |a Sato, Takashi |e verfasserin |4 aut | |
| 700 | 1 | |a Morikawa, Miwa |e verfasserin |4 aut | |
| 700 | 1 | |a Ishii, Naoki |e verfasserin |4 aut | |
| 700 | 1 | |a Shinkai, Masaharu |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t ResearchSquare.com |g (2022) vom: 01. März |
| 773 | 1 | 8 | |g year:2022 |g day:01 |g month:03 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.21203/rs.3.rs-917302/v1 |z kostenfrei |3 Volltext |
| 912 | |a GBV_XRA | ||
| 912 | |a SSG-OLC-PHA | ||
| 951 | |a AR | ||
| 952 | |j 2022 |b 01 |c 03 | ||
| 953 | |2 045F |a 570 | ||