| Literature DB >> 35136364 |
Ohoud Aljuhani1, Khalid Al Sulaiman2,3,4, Awatif Hafiz1, Khalid Eljaaly1,5, Aisha Alharbi6, Rahmah Algarni6, Sarah Al Homaid3, Khawla Kahtani3, Tareq Alsulaiman7, Ramesh Vishwakarma8, Ghassan Al Ghamdi4,9,10, Mai Alalawi11, Ghazwa B Korayem12.
Abstract
INTRODUCTION: The risk of mortality in patients with COVID-19 was found to be significantly higher in patients who experienced thromboembolic events. Thus, several guidelines recommend using prophylactic anticoagulants in all COVID-19 hospitalized patients. However, there is uncertainty about the appropriate dosing regimen and safety of anticoagulation in critically ill patients with COVID-19. Thus, this study aims to compare the effectiveness and safety of standard versus escalated dose pharmacological venous thromboembolism (VTE) prophylaxis in critically ill patients with COVID-19.Entities:
Keywords: COVID-19; COVID-19, Coronavirus disease; Critically ill; Enoxaparin; Escalated-dose; Heparin; ICUs, Intensive care units; Intensive Care Units (ICUs); LOS, Length of Stay; MV, Mechanical ventilation; SARS-Cov-2; Standard dose; VTE prophylaxis; VTE, Venous thromboembolism
Year: 2022 PMID: 35136364 PMCID: PMC8812085 DOI: 10.1016/j.jsps.2022.01.022
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.562
Fig. 1Flowchart of adult patients admitted to the intensive care unit (ICU) with confirmed COVID-19.
Baseline characteristics of the patients admitted to the intensive care unit (ICU) with COVID-19 using anticoagulation.
| 60.9 (14.42) | 61.2 (14.48) | 60.4 (14.32) | 0.3150^ | 59.2 (13.89) | 58.6 (14.33) | 59.9 (13.44) | 0.4947^ | |
| 404 (72.3) | 271 (71.7) | 133 (73.5) | 0.6587^^ | 250 (72.3) | 123 (70.7) | 127 (73.8) | 0.5132^^ | |
| 82.3 (18.78) | (81.3 (17.56) | 84.4 (20.99) | 0.3166^ | 82.9 (20.50) | 81.2 (19.65) | 84.7 (21.24) | 0.2716^ | |
| Body Mass Index (oBdy | 31.1 (8.61) | 30.9 (8.67) | 31.6 (8.49) | 0.3527^ | 31.0 (7.73) | 30.3 (6.62) | 31.7 (8.67) | 0.3740^ |
| 103.0 (91, 115.00) | 104.0 (91.00, 115) | 101.5 (90.50, 113) | 0.3265^ | 104.0 (91, 115) | 106.0 (93, 117) | 101.0 (91, 112) | 0.0854^ | |
| 30.0 (24, 35.00) | 30.0 (24, 35) | 30.0 (25, 35) | 0.4560^ | 30.0 (25, 35) | 31.0 (24, 35) | 30.0 (25, 35) | 0.5606^ | |
| 37.4 (37, 38.30) | 37.4 (37, 38.30) | 37.4 (37, 38.10) | 0.0987^ | 37.4 (37, 38.30) | 37.4 (37, 38.30) | 37.4 (37, 38.10) | 0.2069^ | |
| 356 (6 4) | 247 (65.7) | 109 (60.6) | 0.2377^^ | 206 (59.4) | 101 (58.0) | 105 (60.7) | 0.6156^^ | |
| 411.9 (241.60, 568.80) | 418.0 (232.45, 570.40) | 401.6 (253.80, 556.80) | 0.6488^ | 411.2 (268.80, 565.50) | 414.1 (249.10, 565.60) | 410.3 (284.10, 560.50) | 0.9846^ | |
| 81.2 (61.30, 118.30) | 79.6 (62, 122.60) | 82.5 (61.11, 115) | 0.7451^ | 81.2 (60.62, 114.00) | 77 (59.90, 115) | 81.6 (61.11, 112.70) | 0.8441^ | |
| 15(13., 15) | 15 (11, 15) | 15 (15, 15) | 0.0004^ | 15 (15. 15.00) | 15 (15, 15) | 15.0 (15, 15) | 0.2657^ | |
| 12 (7, 22) | 12 (7, 24.) | 11 (7, 17) | 0.0124^ | 11.0 (7, 16) | 11.0 (7, 15 | 11.0 (7, 17) | 0.9036^ | |
| 4.0 (2, 7) | 5.0 (3, 8) | 4.0 (2, 6) | 0.0014^ | 4.0 (2, 6) | 4.0 (2.00, 6.) | 4.0 (2, 6) | 0.7683^ | |
| 3.0 (2, 5) | 3.0 (2, 6) | 3.0 (2, 4) | 0.0021^ | 3.0 (2.00, 4.00) | 3.0 (1.00, 4.00) | 3.0 (2, 4) | 0.6419^ | |
| 5.0 (4.00, 6.00) | 5.0 (4.00, 6.00) | 5.0 (4, 6) | 0.8668^ | 5.0 (4, 5.) | 5.0 (4.00, 5.00) | 5.0 (4, 6) | 0.6742^ | |
| 86.0 (69.00, 126.00) | 92.0 (71, 142) | 78.0 (66.50, 97.50) | <0.0001* | 78.0 (65, 101.) | 75.5 (64, 103) | 78.0 (67, 98) | 0.8480^ | |
| Estimated Glomerular Filtration Rate (eGFR) | 79.0 (48.00, 100.00) | 73.5 (40.50, 97.00) | 86.0 (68, 104) | <0.0001* | 86.0 (65.00, 105.00) | 87.0 (63.00, 106.00) | 85.0 (67.00, 104.00) | 0.6926* |
| 143 (25.7) | 120 (31.9) | 23 (12.7) | <0.0001^^ | 44 (12.7) | 21 (12.1) | 23 (13.3) | 0.7315^^ | |
| 7.1 (4.80, 11.75) | 7.5 (5, 15.10) | 6.6 (4.70, 8.90) | 0.0011^ | 6.5 (4.60, 9.30) | 6.3 (4.40, 9.80) | 6.6 (4.70, 8.90) | 0.8286^ | |
| 39 (26.00, 66.00) | 38 (25, 64) | 40(27, 66) | 0.8947^ | 38 (26, 66) | 37 (24, 66) | 39.5 (27.00, 66.00) | 0.7559^ | |
| 55.0 (36, 78) | 55.0 (36, 81) | 52.0 (34., 75.00) | 0.1782^ | 53.0 (34, 76.) | 54.0 (3, 77) | 51.5 (34, 73) | 0.4898^ | |
| 156.0 (84, 231) | 154.5 (86.00, 231) | 158.0 (80, 234) | 0.8411^ | 155 (80.50, 229.50) | 152. (76.50, 233.50) | 157.5 (83, 225.50) | 0.5606^ | |
| 6.5 (4.95, 8.80) | 6.9 (5.01, 287) | 5.8 (4.66, 7.83) | 0.0439^ | 6.0 (4.54, 7.78) | 6.5 (4.49, 7.91) | 5.8 (4.85, 7.73) | 0.5627^ | |
| 1.1 (0.67, 2.54) | 1.1 (0.67, 2.78) | 1.2 (0.67, 2.41) | 0.8156^ | 1.0 (0.61, 1.96) | 0.9 (0.59, 1.86) | 1.1 (0.61, 2.25) | 0.2251^ | |
| 9.6 (6.90, 13.05) | 10.0 (6.95, 13.60) | 9.4 (6.86, 12.60) | 0.1519^ | 9.4 (6.82, 12.90) | 10.0 (6.81, 13.60) | 9.1 (6.85, 12.50) | 0.1728^ | |
| 0.4 (0.36, 0.46) | 0.4 (0.35, 0.47) | 0.4 (0.37, 0.44) | 0.7375^ | 0.4 (0.36, 0.44) | 0.4 (0.35, 0.44) | 0.4 (0.37, 0.44) | 0.1375^ | |
| 256 (200, 330.50) | 260 (204, 333) | 254.0 (193, 321) | 0.6296^ | 256.0 (203, 331) | 264.0 (210, 336) | 254 (193, 318) | 0.2615^ | |
| 1.1 (1.03, 1.17) | 1.1 (1.03, 1.18) | 1.1 (1.02, 1.15) | 0.2666^ | 1.1 (1.03, 1.14) | 1.1 (1.03, 1.14) | 1.1 (1.03, 1.15) | 0.7273^ | |
| 29.5 (26.40, 32.60) | 29.9 (26.70, 33.00) | 28.5 (25.65, 31.50) | 0.0032^ | 29.0 (26.00, 32.00) | 29.5 (26.30, 32.30) | 28.5 (25.70, 31.50) | 0.1519^ | |
| 496 (89.5) | 329 (88.0) | 167 (92.8) | 0.0833^^ | 313 (90.7) | 154 (89.0) | 159 (92.4) | 0.2729^^ | |
| 194 (34.9) | 125 (33.4) | 69 (37.9) | 0.2973^^ | 130 (37.8) | 64 (37.4) | 66 (38.2) | 0.8900^^ | |
*T Test/^ Wilcoxon rank sum test is used to calculate the P-value.
^^ Chi square/** Fisher’s Exact teat is used to calculate P-value.
Multivariate regression analysis for ICU complication (s) during ICU stay.
| 3/176 (1.7) | 4/176 (2.27) | 0.70 | 0.75 (0.16, 3.38) | 0.70 | |
| 13/172 (7.5) | 11/175 (6.2) | 0.64 | 1.22 (0.52, 2.86) | 0.64 | |
| 9/174 (5.2) | 7/171 (4.09) | 0.63 | 1.28 (0.46, 3.53) | 0.63 | |
| 23/165 (13.9) | 29/173 (16.7) | 0.47 | 0.80 (0.44, 1.46) | 0.46 | |
| 13/173 (7.5) | 4/171 (2.3) | 0.03 | 3.39 (1.08, 10.61) | 0.04 | |
| 23/66 (34.8) | 26/73 (35.6) | 0.92 | 0.98 (0.49, 1.96) | 0.95 | |
| 16/162 (9.9) | 17/163 (10.4) | 0.87 | 0.94 (0.457, 1.938) | 0.87 | |
| 10/103 (9.7) | 13/112 (11.6) | 0.65 | 0.81 (0.34, 1.95) | 0.63 | |
- Denominator of the percentage is the total number of patients.
^^ Chi-square test is used to calculate the P-value.
$ Propensity score is used to calculate Odds ratio and p-value.
$* Denominator of the percentage is non-mechanically ventilated patients with 24 h of ICU admission.
Fig. 2aKaplan Meier Curve for overall survival comparing the escalated "High" dose and standard dosing of VTE prophylaxis during ICU stay - Before Propensity score matching.
Fig. 2bKaplan Meier Curve for overall survival comparing the escalated "High" dose and standard dosing of VTE prophylaxis during ICU stay - After Propensity score matching.
Multivariate regression analysis for follow-up outcomes.
| 64/173 (37.0) | 65/171 (38.0) | 0.85^^ | 1.08 (0.76, 1.53) | 0.67 | |
| 48/173 (27.7) | 54/172 (31.4) | 0.46^^ | 1.17 (0.79, 1.73) | 0.43 | |
| 9.0 (5.0,15.0) | 8.0 (5.0,13.0) | 0.39^ | −0.12 (-0.31, 0.07) | 0.23 | |
| 17.0 (11.0,24.0) | 14.0 (10.0,24.0) | 0.22^ | −0.11 (-0.27, 0.06) | 0.20 | |
| MV duration (Days), Median (Q1, Q3) & | 6.0 (1.0, 13.0) | 3.0 (0.0, 10.0) | 0.29^ | -0.17 (-0.58, 0.24) | 0.41 |
Δ The Denominator is the total number of patients
& Denominator is the number of patients who survived.
^ Wilcoxon rank-sum test is used to calculate the P-value.
^^ Chi-square test is used to calculate the P-value.
$* Propensity score is used to calculate Beta- coefficient (estimate) and p-value.
$ Propensity score is used to calculate hazard ratio and p-value.