Published online Nov 9, 2022. doi: 10.5492/wjccm.v11.i6.387
- This corrects the article "Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital".
Peer-review started: May 4, 2022
First decision: June 16, 2022
Revised: June 23, 2022
Accepted: September 22, 2022
Article in press: September 22, 2022
Published online: November 9, 2022
Processing time: 183 Days and 8.1 Hours
Correction to: “Iglesias JI et al. Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital. World J Crit Care Med 2021 Sep 9; 10(5): 244-259. DOI: 10.5492/wjccm.v10.i5.244. PMID: 34616660; PMCID: PMC8462025.” In this article, corrections were made to Tables.
Core Tip: This manuscript is an author’s correction for “Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital.” World J Crit Care Med 2021 Sep 9; 10(5): 244-259. DOI: 10.5492/wjccm.v10.i5.244. PMID: 34616660; PMCID: PMC8462025.
- Citation: Iglesias JI, Vassallo AV. Correction to “Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital” . World J Crit Care Med 2022; 11(6): 387-389
- URL: https://www.wjgnet.com/2220-3141/full/v11/i6/387.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v11.i6.387
Correction to: Iglesias JI, Vassallo AV, Sullivan JB, Elbaga Y, Patel VV, Patel N, Ayad L, Benson P, Pittiglio M, Gobran E, Clark A, Khan W, Damalas K, Mohan R, Singh SP. Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital. World J Crit Care Med 2021 Sep 9; 10(5): 244-259. DOI: 10.5492/wjccm.v10.i5.244. PMID:
In the original manuscript, there are some errors in the table data presented, which need to be modified. The corrected tables are shown as Table 1 (original Table 1) and Table 2 (original Table 4). These errors do not change the ultimate results and conclusion of the paper but have been provided for clarification and overall accuracy.
Non-survivor (n = 167) | Survivors (n = 94) | P value | OR | 95%CI | |
Age | 72 (63-82) | 65.5 (51-74) | < 0.001 | ||
Race (Caucasian) | 125 (74.9) | 57 (60.6) | 0.016 | 1.9 | 1.12-3.3 |
BMI | 29 (23.9, 34.7) | 28.6 (24, 33) | 0.49 | ||
Sex (male) | 102 (61) | 56 (60) | 0.81 | 1.065 | 0.63-1.78 |
Diabetes | 60 (35) | 24 (26) | 0.08 | 1.63 | 0.93-2.8 |
CHF | 24 (15) | 10 (11) | 0.38 | 1.42 | 0.64-3.1 |
CAD | 45 (27) | 20 (21) | 0.30 | 1.36 | 0.74-2.48 |
COPD | 38 (23) | 23 (25) | 0.75 | 0.9 | 0.5-1.64 |
CKD | 25 (15) | 13 (14) | 0.8 | 1.09 | 0.53-2.26 |
HTN | 100 (60) | 45 (48) | 0.061 | 1.62 | 0.97-2.70 |
AKI | 87 (52) | 30 (32) | 0.002 | 2.3 | 1.21-2.5 |
Mechanical ventilation | 134 (80) | 44 (47) | < 0.001 | 4.6 | 2.64-8 |
Hemodialysis | 29(18) | 10 (11) | 0.13 | 1.8 | 0.83-3.8 |
Neutrophils × 109/L | 7.4 (5-11.79) | 7.8 4.4-12.9 | 0.92 | ||
Lymphocytes | 0.7 (0.5, 1.2) | 0.9 (0.6, 1.6) | 0.011 | ||
Neutrophil/lymphocyte | 10 (6, 18.5) | 7.54 4.3-14.2 | 0.017 | ||
SCr (mg/dL) | 1.2 (0.8-1.8) | 1.1 (0.8, 0.8) | 0.49 | ||
Plts (× 109/L) | 202 (166-268) | 232 (155-301) | 0.27 | ||
Tbili (mg/dl) | 0.5 (0.4, 0.8) | 0.5 (0.4, 0.8) | 0.65 | ||
SOFA admit | 4 (3-7) | 4 (2, 6) | 0.095 | ||
PaO2/FIO2 | 190 (76, 285) | 232 (123, 307) | 0.039 | ||
PaO2 | 69 (55-86) | 73 (59-96) | 0.083 | ||
FIO2 | 0.44 (0.24-1) | 0.36 (0.21-0.97) | 0.12 |
Non-survivors (n = 167) | Survivors (n = 94) | P value | |
IL-6 day 1 (pg/mL) | 116 (33, 410) | 72 (45, 210) | 0.75 |
IL-6 day 2 | 470 (36, 1299) | 153 (10, 280) | 0.38 |
D-Dimer day 1 (ng/mL) | 855 (522, 2434) | 595 (337, 1349) | 0.013 |
D-Dimer day 2 | 691 (436, 1743) | 1040 (550, 3431) | 0.11 |
CRP day 1 (mg/L) | 125 (61, 179) | 130 (89, 185) | 0.55 |
CRP day 2 | 116 (82, 185) | 119 (47, 175) | 0.29 |
Ferritin day 1 (ng/mL) | 869 (406, 1467) | 995 (488, 1571) | 0.35 |
Ferritin day 2 | 822 (447, 1432) | 1053 (712, 2057) | 0.05 |
Patient characteristics are described in Table 1. Univariate predictors of decreased survival included the need for mechanical ventilation, acute kidney injury, Caucasian race, older age, lower total lymphocyte count, higher neutrophil/Lymphocyte ratio, and a greater degree of respiratory failure manifested by a lower PaO2/FIO2 ratio. As anticipated non-survivors demonstrated a higher degree of elevated inflammatory and pro-thrombotic markers, D-Dimer at 24 h (Table 2, Original Table 4).
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Specialty type: Critical care medicine
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P-Reviewer: Ata F, Qatar; Aydin S, Turkey; Yu L, Singapore; Yu L, Singapore S-Editor: Wu YXJ L-Editor: A P-Editor: Wu YXJ
1. | Iglesias JI, Vassallo AV, Sullivan JB, Elbaga Y, Patel VV, Patel N, Ayad L, Benson P, Pittiglio M, Gobran E, Clark A, Khan W, Damalas K, Mohan R, Singh SP. Retrospective analysis of anti-inflammatory therapies during the first wave of COVID-19 at a community hospital. World J Crit Care Med. 2021;10:244-259. [PubMed] [DOI] [Cited in This Article: ] [Cited by in CrossRef: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis (0)] |