| Literature DB >> 24282436 |
Sunny Jui-Shan Lin1, Yung-Yen Cheng, Chih-Hung Chang, Cheng-Hung Lee, Yi-Chia Huang, Yi-Chang Su.
Abstract
Pathogenesis of sepsis includes complex interaction between pathogen activities and host response, manifesting highly variable signs and symptoms, possibly delaying diagnosis and timely life-saving interventions. This study applies traditional Chinese medicine (TCM) Zheng diagnosis in patients with severe sepsis and septic shock to evaluate its adaptability and use as an early predictor of sepsis mortality. Three-year prospective observational study enrolled 126 septic patients. TCM Zheng diagnosis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and blood samples for host response cytokines measurement (tumor necrosis factor- α , Interleukin-6, Interleukin-8, Interleukin-10, Interleukin-18) were collected within 24 hours after admission to Intensive Care Unit. Main outcome was 28-day mortality; multivariate logistic regression analysis served to determine predictive variables of the sepsis mortality. APACHE II score, frequency of Nutrient-phase heat, and Qi-Xu and Yang-Xu Zhengs were significantly higher in nonsurvivors. The multivariate logistic regression analysis identified Yang-Xu Zheng as the outcome predictor. APACHE II score and levels of five host response cytokines between patients with and without Yang-Xu Zheng revealed significant differences. Furthermore, cool extremities and weak pulse, both diagnostic signs of Yang-Xu Zheng, were also proven independent predictors of sepsis mortality. TCM diagnosis "Yang-Xu Zheng" may provide a new mortality predictor for septic patients.Entities:
Year: 2013 PMID: 24282436 PMCID: PMC3824639 DOI: 10.1155/2013/759748
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Figure 1Hypothesis of pathogenesis of sepsis in traditional Chinese medicine. Solid rectangles denote “pathogen-excess type” TCM Zhengs. Void rectangles denote “human body-deficiency type” TCM Zhengs. Arrows denote possible transition directions and pathways of TCM Zhengs.
Diagnostic criteria of traditional Chinese medicine (TCM) Zhengs in severe sepsis and septic shock.
| TCM | Diagnostic criteria | |||||
|---|---|---|---|---|---|---|
| Type |
| Body temperature | Signsa | Pulse | Tongue | |
| Pathogen-excess type |
| Fever (BT > 38°C) |
Sweating | With yellowish coating | ||
|
| Delirium |
Rapid | Red | |||
|
|
Hemorrhageb
| Dark-red | ||||
|
| ||||||
| Human body-deficiency type |
| Fatigue lethargy |
| Weak | — | |
|
| ||||||
|
| — | Pale | Threadlike | Light-red | ||
|
Night sweating | ||||||
aEach Zheng was diagnosed when either sign appeared.
bBleeding in any part of the body was included, except the skin.
Demographic and clinical characteristics of septic patients.
| Variable | Survivor | Nonsurvivor |
|
|---|---|---|---|
| Age (yr) | 74.7 ± 11.9 | 73.2 ± 16.6 | NS |
| Gender (male) | 38 (53.5%) | 39 (70.9%) | <0.05 |
| Survival time (days) | 6.6 ± 5.7 | ||
| Diagnosis at ICU admission | |||
| Severe sepsis | 12 (16.9%) | 4 (7.3%) | NSa |
| Septic shock | 59 (83.1%) | 51 (92.7%) | NS |
| Severity scoring | |||
| APACHE II | 28.5 ± 7.6 | 31.6 ± 7.7 | 0.02 |
| Source of infectionb | |||
| Respiratory tract | 38 (53.5%) | 26 (47.3%) | NS |
| Urogenital tract | 39 (54.9%) | 22 (40.0%) | NS |
| Liver and biliary tract | 2 (2.8%) | 4 (7.3%) | NSa |
| Intra-abdomen | 0 (0.0%) | 6 (10.9%) | <0.01a |
| Cutaneous/soft tissue | 5 (7.0%) | 1 (1.8%) | NSa |
| Others/unknown | 3 (4.2%) | 6 (10.9%) | NSa |
| Documented microbial agentb | |||
| Gram positive | 12 (16.9%) | 11 (20.0%) | NS |
| Gram negative | 50 (70.4%) | 36 (65.5%) | NS |
| Fungus | 4 (5.6%) | 4 (7.3%) | NSa |
Survivor/nonsurvivor: septic patient alive/dead 28 days after admission to medical intensive care unit.
APACHE II: Acute Physiology and Chronic Health Evaluation II.
Continuous data are presented as Mean ± SD.
Categorical data are presented as number of patients (percentages).
Values have been calculated using Chi-square test and Mann-Whitney U test.
aCalculated using Fisher's exact test.
bValues total more than 100%, since patients could have more than one condition.
P < 0.05 statistically significant.
NS: not significant.
Frequency of TCM Zhengs between patients with severe sepsis and septic shock.
| TCM | Total ( | Severe sepsis ( | Septic shock ( |
|
|---|---|---|---|---|
| Pathogen-excess type | ||||
|
| 47 (37.3%) | 5 (31.3%) | 42 (38.2%) | NSc |
|
| 51 (40.5%) | 5 (31.3%) | 46 (41.8%) | NSc |
|
| 45 (35.7%) | 5 (31.3%) | 40 (36.4%) | NSc |
| Human body-deficiency type | ||||
|
| 86 (68.3%) | 9 (56.3%) | 77 (70.0%) | NS |
|
| 65 (51.6%) | 8 (50.0%) | 57 (51.8%) | NS |
|
| 8 (6.3%) | 1 (6.3%) | 7 (6.4%) | NSc |
|
| 6 (4.8%) | 1 (6.3%) | 5 (4.5%) | NSc |
Categorical data are presented as number of patients (percentages).
Values have been calculated using Chi-square test.
aValues total more than 100%, since patients could have more than one condition.
bComparison between patient with severe sepsis and septic shock.
cCalculated using Fisher's exact test.
P < 0.05 statistically significant.
NS: not significant.
Frequency of each TCM Zheng between the survivors and nonsurvivors.
| TCM | Survivor | Nonsurvivor |
|
|---|---|---|---|
| Pathogen-excess type | |||
|
| 27 (38.0%) | 20 (36.4%) | NS |
|
| 23 (32.4%) | 28 (50.9%) | 0.04 |
|
| 22 (31.0%) | 23 (41.8%) | NS |
| Human body-deficiency type | |||
|
| 41 (57.7%) | 45 (81.8%) | <0.01 |
|
| 23 (32.4%) | 42 (76.4%) | <0.01 |
|
| 5 (7.0%) | 3 (5.5%) | NSb |
|
| 5 (7.0%) | 1 (1.8%) | NSb |
Categorical data are presented as number of patients (percentages).
Values have been calculated using Mann-Whitney U test and Chi-square test.
aValues total more than 100%, since patients could have more than one condition.
bCalculated using Fisher's exact test.
P < 0.05 being statistically significant.
NS: not significant.
Multivariate analysis of independent predictor for sepsis mortality.
| Variable | Prediction rate: 70.6% | ||||
|---|---|---|---|---|---|
|
| Wald | Relative risk | 95% CI |
| |
| Age | −0.01 | 0.77 | 0.99 | 0.96–1.02 | NS |
| Gender | 0.33 | 0.55 | 1.39 | 0.59–3.29 | NS |
| APACHE II | 0.03 | 1.11 | 1.03 | 0.98–1.01 | NS |
|
| 0.31 | 0.51 | 1.36 | 0.58–3.16 | NS |
|
| 1.75 | 16.62 | 5.74 | 2.48–13.3 | <0.01 |
Multivariate logistic regression analysis was performed by “enter” method.
APACHE II: Acute Physiology and Chronic Health Evaluation II.
CI: confidence interval.
P value < 0.05 being statistically significant.
APACHE II score and host reactive cytokine levels between septic patients with and without Yang-Xu Zheng.
| With | Without |
| |
|---|---|---|---|
| Severity scoring | |||
| APACHE II | 31.8 ± 7.8 | 27.8 ± 7.1 | <0.01 |
| Host reactive cytokine | |||
| TNF- | 1.6 ± 0.5 | 1.4 ± 0.5 | <0.01 |
| IL-6a | 3.3 ± 0.9 | 2.8 ± 0.8 | <0.01 |
| IL-8a | 2.5 ± 0.6 | 2.2 ± 0.5 | <0.01 |
| IL-10a | 2.3 ± 0.7 | 2.0 ± 0.7 | <0.01 |
| IL-18a | 2.9 ± 0.2 | 2.8 ± 0.3 | <0.01 |
APACHE II: Acute Physiology and Chronic Health Evaluation II.
Continuous data are presented as Mean ± SD.
Values have been calculated using Mann-Whitney U test.
TNF: tumor necrosis factor.
IL: interleukin.
aBased on log transformed values (pg/mL).
P < 0.05 statistically significant.
NS: not significant.
Diagnostic signs of Yang-Xu Zheng as independent predictors of sepsis mortality.
| Variable | Prediction rate: 74.6% | ||||
|---|---|---|---|---|---|
|
| Wald | Relative risk | 95% CI |
| |
| Fatigue | 0.34 | 0.14 | 1.41 | 0.24–8.32 | NS |
| Lethargy | −1.35 | 2.96 | 0.26 | 0.06–1.21 | NS |
| Cool extremities | 1.94 | 17.94 | 6.97 | 2.84−17.12 | <0.01 |
| Edematous limbs | 0.51 | 1.36 | 1.66 | 0.71–3.92 | NS |
| Weak pulse | 1.35 | 5.64 | 3.86 | 1.27–11.77 | 0.02 |
Multivariate logistic regression analysis was performed by “enter” method.
CI: confidence interval.
P < 0.05 being statistically significant.