| Literature DB >> 28692675 |
Sophie Yacoub1,2, Trieu Huynh Trung3, Phung Khanh Lam1, Vuong Huynh Ngoc Thien3, Duong Ha Thi Hai3, Tu Qui Phan3, Oanh Pham Kieu Nguyet3, Nguyen Than Ha Quyen1, Cameron Paul Simmons1,4, Christopher Broyd5, Gavin Robert Screaton2, Bridget Wills1,6.
Abstract
BACKGROUND: Dengue can cause plasma leakage that may lead to dengue shock syndrome (DSS). In approximately 30% of DSS cases, recurrent episodes of shock occur. These patients have a higher risk of fluid overload, respiratory distress and poor outcomes. We investigated the association of echocardiographically-derived cardiac function and intravascular volume parameters plus lactate levels, with the outcomes of recurrent shock and respiratory distress in severe dengue. METHODS/PRINCIPLEEntities:
Mesh:
Substances:
Year: 2017 PMID: 28692675 PMCID: PMC5519203 DOI: 10.1371/journal.pntd.0005740
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Enrollment characteristics for dengue patients in ICU.
| All patients | No shock | Shock | Recurrent shock | p | |||||
|---|---|---|---|---|---|---|---|---|---|
| Characteristic | n | n | n | n | |||||
| Age (yrs) | 102 | 11 (8, 14) | 22 | 12 (10, 20) | 48 | 11 (8, 14) | 32 | 10 (8, 13) | 0.583 |
| Female | 102 | 48 (47.1%) | 22 | 11 (50.0%) | 48 | 22 (45.8%) | 32 | 15 (46.9%) | 0.966 |
| Illness day | 102 | 6 (5, 6) | 22 | 6 (5, 6) | 48 | 6 (5, 6) | 32 | 6 (5, 6) | 0.237 |
| Platelets (109/L) | 99 | 29(18, 41) | 22 | 37 (30, 62) | 46 | 28 (19, 40) | 31 | 27 (15, 33) | 0.011 |
| White cells (109/L) | 99 | 4.6 (3.0, 5.8) | 22 | 4.9 (3.4, 5.8) | 46 | 4.6 (3.0, 6.3) | 31 | 3.4 (3.0, 5.6) | 0.695 |
| HCT (%) | 98 | 44.6 (41.6,48.6) | 22 | 42.0 (40.7, 45.6) | 45 | 44.7 (42.5, 48.8) | 31 | 46.6 (41.5, 50.0) | 0.076 |
| Albumin(g/L) | 98 | 33.5 (29.2, 37.3) | 22 | 38.0 (33.3, 41.0) | 46 | 33.5 (29.4, 37.0) | 30 | 30.1 (23.6,34.8) | <0.001 |
| AST(U/L) | 92 | 164 (104, 343) | 20 | 102 (80, 162) | 45 | 217 (106, 384) | 27 | 219 (129, 540) | 0.001 |
| ALT(U/L) | 92 | 86 (41–161) | 20 | 63 (32–96) | 45 | 98 (46–160) | 27 | 112 (45–266) | 0.041 |
| Lactate (mmol/l) | 98 | 2.9 (2.2, 3.9) | 22 | 2.2 (2.0, 2.7) | 46 | 2.9 (2.2, 3.6) | 30 | 4.2 (2.6, 4.7) | <0.001 |
| Fluid accumulation | 102 | 64 (62.7%) | 22 | 5 (22.7%) | 48 | 31 (64.6%) | 32 | 28 (87.5%) | <0.001 |
| Total IV Fluid | 84 | 3155 (1845, 5211) | 5 | 0 (0, 0) | 47 | 3020 (2198, 4337) | 32 | 5876 (4257, 7300) | <0.001 |
| Colloid bolus | 102 | 30 (35.7%) | 22 | 0 (0.0%) | 47 | 5 (10.6%) | 32 | 25 (78.1%) | <0.001 |
| >1 Colloid bolus | 102 | 19 (18.6%) | 22 | 0 (0.0%) | 48 | 0 (0.0%) | 32 | 19 (59.4%) | |
| Respiratory Distress | 102 | 19 (18.6%) | 22 | 0 (0.0%) | 48 | 4 (8.3%) | 32 | 15 (46.9%) | <0.001 |
| Inotropes | 102 | 4 (3.9%) | 22 | 0 (0.0%) | 48 | 0 (0.0%) | 32 | 4 (12.5%) | 0.010 |
Data is presented as absolute count (%) for categorical variables and median (IQR) for continuous data. P-values are based on Kruskal-Wallis (continuous data) and Fisher's exact test (categorical data).
Fluid accumulation: Clinical pleural effusion and/or ascites
Enrollment cardiac function and Haemodynamics in dengue patients on admission to the Intensive Care Unit.
| All patients | No shock | Shock | Recurrent shock | p | |||||
|---|---|---|---|---|---|---|---|---|---|
| Pulse (b/min) | 102 | 101 (92, 120) | 22 | 100 (80, 106) | 48 | 100 (92, 114) | 32 | 114 (100, 130) | 0.003 |
| MAP (mmHg) | 102 | 83 (77, 87) | 22 | 73 (72, 80) | 48 | 80 (73, 88) | 32 | 80 (70, 86) | 0.506 |
| PP (mmHg) | 102 | 20 (20, 30) | 22 | 30 (30, 40) | 48 | 20 (20, 30) | 32 | 20 (15, 20) | <0.001 |
| SVI (ml/m2) | 68 | 22.6 (20.1, 25.3) | 14 | 26.8 (23.2, 28.4) | 32 | 22.8 (20.6, 25.3) | 22 | 21.6 (19.4, 23.0) | 0.002 |
| CI (L/min/m2) | 68 | 2.2 (1.9, 2.5) | 14 | 2.3 (2.2, 2.7) | 32 | 2.0 (1.8, 2.3) | 22 | 2.2 (2.0, 2.5) | 0.035 |
| IVCCI | 64 | 0.39 (0.34, 0.48) | 13 | 0.37 (0.31, 0.40) | 32 | 0.40 (0.35, 0.49) | 19 | 0.40 (0.35, 0.47) | 0.323 |
| LVDd (cm) | 68 | 3.7 (3.3, 4.0) | 14 | 3.6 (3.3, 4.2) | 32 | 3.7 (3.3, 4.0) | 22 | 3.5 (3.3, 3.9) | 0.914 |
| EF (%) | 68 | 66.3 (61.9, 69.0) | 14 | 66.8 (61.7, 69.0) | 32 | 66.7 (62.9, 69.6) | 22 | 65.8 (60.7, 68.1) | 0.711 |
| LMPI | 68 | 0.36 (0.27, 0.48) | 14 | 0.36 (0.27, 0.50) | 32 | 0.41 (0.26, 0.48) | 22 | 0.34 (0.28, 0.41) | 0.942 |
| RMPI | 66 | 0.18 (0.12, 0.26) | 14 | 0.14 (0.12, 0.21) | 32 | 0.18 (0.12, 027) | 20 | 0.18 (0.12, 0.26) | 0.278 |
Data is presented as absolute count (%) for categorical variables and median (IQR) for continuous data. P-values are based on Kruskal-Wallis (continuous data) and Fisher's exact test (categorical data).
Cardio-haemodynamic variables in patients with and without shock and recurrent shock, over ICU admission.
| No shock | Shock | Recurrent shock | Recurrent shock vs. shock | Recurrent shock vs. no shock | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n | n | n | Effect | 95% CI | p | Effect | 95% CI | p | ||||
| Day 1 | 14 | 26.8 (23.2, 28.4) | 32 | 22.8 (20.6, 25.3) | 22 | 21.6 (19.4, 23.0) | -1.25 | (-3.09, 0.60) | -4.63 | (-6.89, -2.36) | ||
| Day 2 | 16 | 27.2 (24.1, 29.3) | 34 | 27.1 (21.0, 29.4) | 22 | 22.8 (20.6, 24.3) | -3.00 | (-5.50, -0.50) | -4.34 | (-7.30, -1.38) | ||
| Day 3 | 15 | 28.9 (24.2, 30.7) | 34 | 29.5 (26.1, 32.8) | 16 | 27.0 (23.0, 31.7) | -2.14 | (-4.67, 0.39) | 0.06 | (-2.89, 3.02) | ||
| Day 4 | 2 | 29.4 (29.0, 29.7) | 17 | 30.3 (27.7, 34.8) | 17 | 32.1 (29.2, 35.4) | 1.84 | (-1.11, 4.79) | 3.17 | (-3.10, 9.43) | ||
| Day 5 | 2 | 31.2 (29.7, 32.8) | 4 | 29.4 (28.0, 31.5) | 8 | 34.8 (31.9, 37.6) | 4.20 | (-0.63, 9.03) | -1.64 | (-16.68, 13.4) | ||
| >Day 13 | 14 | 32.2 (31.2, 33.0) | 32 | 31.4 (29.5, 33.5) | 22 | 31.1 (29.3, 32.2) | ||||||
| Day 1 | 14 | 2.3 (2.2, 2.7) | 32 | 2.0 (1.8, 2.3) | 22 | 2.2 (2.0, 2.5) | 0.21 | (0.00, 0.42) | -0.18 | (-0.44, 0.08) | ||
| Day 2 | 16 | 2.4 (2.2, 2.5) | 34 | 2.2 (1.9, 2.5) | 22 | 2.2 (2.0, 2.3) | -0.01 | (-0.25, 0.22) | -0.17 | (-0.44, 0.11) | ||
| Day 3 | 15 | 2.4 (2.1, 2.5) | 34 | 2.5 (2.2, 2.7) | 16 | 2.7 (2.3, 3.0) | 0.17 | (-0.08, 0.41) | 0.34 | (0.06, 0.62) | ||
| Day 4 | 2 | 2.4 (2.3, 2.4) | 17 | 2.6 (2.2, 2.9) | 17 | 3.0 (2.7, 3.1) | 0.42 | (0.03, 0.80) | 0.64 | (-0.19, 1.46) | ||
| Day 5 | 2 | 2.4 (2.3, 2.5) | 4 | 2.5 (2.2, 2.8) | 8 | 3.0 (2.5, 3.2) | 0.08 | (-0.35, 0.52) | -1.22 | (-2.56, 0.12) | ||
| >Day13 | 14 | 2.8 (2.6, 2.9) | 31 | 2.8 (2.6, 2.8) | 22 | 2.7 (2.6, 2.9) | ||||||
| Day 1 | 14 | 0.36 (0.27, 0.50) | 32 | 0.42 (0.26, 0.48) | 22 | 0.34 (0.28, 0.41) | 0.00 | (-0.08, 0.07) | 0.02 | (-0.08, 0.11) | ||
| Day 2 | 14 | 0.37 (0.30, 0.44) | 26 | 0.37 (0.30, 0.48) | 17 | 0.37 (0.26, 0.51) | 0.01 | (-0.08, 0.09) | 0.02 | (-0.08, 0.12) | ||
| Day 3 | 14 | 0.28 (0.20, 0.36) | 26 | 0.35 (0.27, 0.43) | 16 | 0.34 (0.25, 0.45) | -0.01 | (-0.09, 0.08) | 0.08 | (-0.01, 0.18) | ||
| Day 4 | 2 | 0.30 (0.26, 0.33) | 15 | 0.36 (0.32, 0.46) | 16 | 0.42 (0.31, 0.51) | 0.03 | (-0.05, 0.11) | 0.09 | (-0.08, 0.26) | ||
| Day 5 | 2 | 0.33 (0.36, 0.37) | 4 | 0.23 (0.21, 0.28) | 8 | 0.31 (0.29, 0.35) | 0.05 | (-0.02, 0.13) | -0.09 | (-0.32, 0.15) | ||
| >Day13 | 14 | 0.17 (0.11, 0.23) | 31 | 0.20 (0.18, 0.23) | 22 | 0.21 (0.19, 0.24) | ||||||
| Day 1 | 13 | 0.37 (0.31, 0.40) | 32 | 0.40 (0.35, 0.49) | 19 | 0.40 (0.35, 0.47) | -0.01 | (-0.07, 0.05) | 0.05 | (-0.03, 0.12) | ||
| Day 2 | 14 | 0.31 (0.25, 0.36) | 33 | 0.33 (0.28, 0.36) | 19 | 0.31 (0.30, 0.37) | 0.01 | (-0.04, 0.06) | 0.03 | (-0.03, 0.09) | ||
| Day 3 | 15 | 0.29 (0.23, 0.33) | 33 | 0.24 (0.20, 0.30) | 16 | 0.28 (0.25, 0.32) | 0.04 | (0.00, 0.09) | 0.01 | (-0.04, 0.07) | ||
| Day 4 | 2 | 0.28 (0.25, 0.31) | 18 | 0.23 (0.21, 0.27) | 17 | 0.24 (0.21, 0.26) | 0.00 | (-0.04, 0.04) | -0.04 | (-0.12, 0.05) | ||
| Day 5 | 2 | 0.22 (0.22, 0.22) | 4 | 0.20 (0.17, 0.23) | 8 | 0.22 (0.21, 0.25) | 0.02 | (-0.03, 0.07) | -0.05 | (-0.21, 0.10) | ||
| >Day13 | 14 | 0.22 (0.15, 0.23) | 32 | 0.21 (0.18, 0.23) | 22 | 0.20 (0.18, 0.24) |
Data is presented as median (IQR). Each row corresponds to comparison of each variable by admission day based on linear regression, with adjustment for age, sex, day of illness at enrolment. Effect (and 95%CI, p) corresponds to mean difference in variable of interest between recurrent shock and shock and also recurrent shock and no shock. Day = study day, SVI = Stroke Volume Index, CI = Cardiac Index, LMPI = Left Myocardial Performance Index, IVCCI = Inferior Vena Cava collapsibility Index.
Using linear regression there was a significant trend test for SVI between the shock groups on day 1 (P<0.001) and day2 (P = 0.003).
Fig 1“Stroke Volume Index over ICU admission in patients with no shock, shock and recurrent shock.”
Graph showing the dynamics of SVI by study day for 87 patients. Grey lines are changes of SVI for each patient. Colored lines connect medians of SVI on each study day for each patient group.
Enrollment cardio-haemodynamic and laboratory variables for predicting recurrent shock.
| n | One episode Shock | n | Recurrent Shock | OR | (95% CI) | p value | |
|---|---|---|---|---|---|---|---|
| SVI ml/m2 | 32 | 22.8 (20.6, 25.3) | 22 | 21.6 (19.4, 23.0) | 0.88 | (0.73, 1.05) | 0.173 |
| CI l/min/m2 | 32 | 2.0 (1.8, 2.3) | 22 | 2.2 (2.0, 2.5) | 6.31 | (1.21, 40.97) | 0.028 |
| LMPI | 32 | 0.41 (0.26, 0.48) | 22 | 0.34 (0.28, 0.41) | 0.77 | (0.01, 56.19) | 0.906 |
| RMPI | 32 | 0.2 (0.1, 0.3) | 19 | 0.2 (0.1, 0.3) | 0.73 | (0.00, 175.70) | 0.910 |
| IVCCI | 32 | 0.40 (0.35, 0.49) | 19 | 0.40 (0.35, 0.47) | 1.97 | (0.00, 1014.93) | 0.828 |
| HCT (%) | 45 | 44.7 (42.5, 48.8) | 31 | 46.6 (41.5,50.0) | 1.04 | (0.95, 1.15) | 0.405 |
| PLT (109/L) | 46 | 28 (19, 41) | 31 | 27 (15, 33) | 0.99 | (0.97,1.01) | 0.534 |
| Lactate (mmol/l) | 46 | 2.9 (2.2, 3.6) | 30 | 4.2 (2.6, 4.7) | 1.46 | (1.11, 2.07) | 0.004 |
| Log2Lactate | 46 | 1.6 (1.1, 1.9) | 30 | 2.1 (1.4, 2.2) | 2.71 | (1.29, 6.41) | 0.008 |
Data are presented as absolute count (%) for categorical variables and median (IQR) for continuous data. All analyses were based on univariate logistic regression model, adjusted for age, sex, illness day at enrolment.