| Literature DB >> 24904990 |
Jia-Yih Feng1, Kuan-Ting Liu2, Edward Abraham3, Cheng-Yu Chen4, Po-Yi Tsai5, Yu-Chun Chen6, Yu-Chin Lee7, Kuang-Yao Yang8.
Abstract
Sex hormones have diverse immunomodulatory effects that may be involved in the pathogenesis of sepsis. However, the roles of serum sex hormones in predicting outcomes and the severity of organ dysfunction, especially acute kidney injury (AKI), in septic shock patients remains controversial. We prospectively enrolled 107 clinically diagnosed pneumonia-related septic shock patients and serum sex hormone levels were measured on the day of shock onset. The aim of the present study was to investigate the predictive values of serum sex hormones levels for 28-day mortality and organs dysfunction, especially AKI. Compared with survivors, serum levels of progesterone (p<0.001) and estradiol (p<0.001) were significantly elevated in non-survivors. In multivariate Cox regression analysis, serum level of estradiol >40 pg/mL (p = 0.047) and APACHE II score ≥25 (p = <0.001) were found to be independent predictors of day 28 mortality. Inclusion of estradiol levels further enhanced the ability of APACHE II scores to predict survival in patients with high mortality risk. A serum level of estradiol >40 pg/mL was also an independent predictor of concomitant AKI (p = 0.002) and correlated well with severity of renal dysfunction using RIFLE classification. Elevated serum estradiol levels also predicted the development of new AKI within 28 days of shock onset (p = 0.013). In conclusion, serum estradiol levels appear to have value in predicting 28-day mortality in septic shock patients. Increased serum estradiol levels are associated with higher severity of concomitant AKI and predict development of new AKI.Entities:
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Year: 2014 PMID: 24904990 PMCID: PMC4048195 DOI: 10.1371/journal.pone.0097967
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Study profile demonstrating the number of cases and reasons for exclusion.
Demographic characteristics of patients with pneumonia-related septic shocka.
| Overall | 28-day mortality | |||
| Survivors | Non-survivors |
| ||
| Patient numbers | 107 | 57 | 50 | |
| Age, years | 79.1 (11.1) | 78.2 (10.4) | 80 (11.8) | 0.41 |
| Male gender | 92 (86%) | 48 (84.2%) | 44 (88%) | 0.57 |
| Comorbidity | ||||
| Obstructive airway disease | 25 (23.4%) | 13 (22.8%) | 12 (24%) | 0.88 |
| Interstitial lung disease | 11 (10.3%) | 6 (10.5%) | 5 (10%) | 0.93 |
| Congestive heart failure | 13 (12.1%) | 8 (14%) | 5 (10%) | 0.52 |
| Diabetes mellitus | 29 (27.1%) | 14 (24.6%) | 15 (30%) | 0.53 |
| Chronic renal insufficiency | 18 (16.8%) | 8 (14%) | 10 (20%) | 0.41 |
| Pathogens in sputum culture | ||||
| Gram-positive bacteria | 26 (24.3%) | 15 (26.3%) | 11 (22%) | 0.60 |
| Gram-negative bacteria | 85 (79.4%) | 49 (86%) | 36 (72%) | 0.08 |
| Disease severity | ||||
| APACHE II score | 27.8 (7.5) | 23.5 (4.6) | 32.8 (7.1) | <0.001 |
| PaO2/FiO2 ratio | 190.7 (101.3) | 222.6 (95.5) | 156.2 (96.8) | 0.001 |
| Organ dysfunction | ||||
| AKI | 58 (54.2%) | 25 (43.9%) | 33 (66%) | 0.022 |
| Hematologic dysfunction | 44 (41.1%) | 19 (33.3%) | 25 (50%) | 0.08 |
| Metabolic acidosis | 29 (27.1%) | 5 (8.8%) | 24 (48%) | <0.001 |
| ARDS | 60 (56.1%) | 23 (40%) | 37 (74%) | <0.001 |
| No. of organ dysfunctions | ||||
| ≥2 organ failure (including shock) | 90 (84.1%) | 43 (75.4%) | 47 (94%) | 0.009 |
| ≥3 organ failure (including shock) | 51 (47.7%) | 15 (26.3%) | 36 (72%) | <0.001 |
| ≥4 organ failure (including shock) | 29 (27.1%) | 4 (7%) | 25 (50%) | <0.001 |
| SOFA score | 11.4 (2.7) | 10.5 (2.3) | 12.5 (2.8) | <0.001 |
| Patients with second source of infection | 19 (17.8%) | 13 (22.8%) | 6 (12%) | 0.14 |
Data are presented as n (%), except for age, APACHE II score, PaO2/FiO2 ratio, SOFA score, hospital LOS and ICU LOS, which are presented as mean (standard deviation).
Pneumonia with septic shock patients were divided according to survival status at day 28.
p value represents differences between survivors and non-survivors of pneumonia-related septic shock.
Organ dysfunction was determined on the day of enrollment.
AKI, acute kidney injury; ARDS, adult respiratory distress syndrome; APACHE II, Acute Physiology and Chronic Health Evaluation II; CAP, community-acquired pneumonia; HAP, hospital-acquired pneumonia; SOFA, Sequential Organ Failure Assessment.
Figure 2Serum sex hormone levels in patients with pneumonia-related septic shock.
(A) Estradiol and (B) progesterone and (C) testosterone levels in patients with pneumonia-associated septic shock, with survivors at day 28 identified by open bars, and non-survivors at day 28 by shaded bars. Medians and interquartile ranges (IQR) are shown above each plot. Statistical significance was determined with the two-sided Mann-Whitney U test. Extreme values are not shown.
Figure 3ROC curves of serum sex hormone levels and APACHE II scores for predicting 28-day mortality.
The areas under the ROC curves (AUCs) for APACHE II scores, estradiol, and progesterone were significantly greater than 0.5. The optimal cutoff points for each sex hormone level and APACHE II score are listed in the attached table, along with their predictive values for the 28-day mortality of patients with pneumonia-related septic shock. ROC, Receiver operator characteristic; APACHE II, Acute Physiology and Chronic Health Evaluation II.
Figure 4Kaplan-Meier survival curves of pneumonia-related septic shock patients, stratified by day-1 serum sex hormone levels.
Patients were categorized into two groups based on the optimal cut-off points of (A) progesterone and (B) estradiol from the ROC curves. Patients were categorized into four groups based on combining (C) progesterone and (D) estradiol optimal cut-off points and high or low Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. Statistical significance was tested with the log-rank test.
Cox proportional hazard models for 28-day mortality prediction by comorbidities and sex hormones in patients with pneumonia-associated septic shocka.
| Univariate Cox Model | Multivariate Cox Model | |||
| Variables | HR (95% CI) |
| HR (95% CI) |
|
| Age | 1.01 (0.99–1.04) | 0.34 | ||
| Male gender | 1.20 (0.51–2.83) | 0.67 | ||
| Comorbidity | ||||
| Diabetes mellitus | 1.14 (0.62–2.08) | 0.68 | ||
| Obstructive airway disease | 1.03 (0.54–1.98) | 0.92 | ||
| Interstitial lung disease | 0.89 (0.35–2.24) | 0.80 | ||
| Chronic renal insufficiency | 1.19 (0.59–2.38) | 0.63 | ||
| Congestive heart failure | 0.71 (0.28–1.79) | 0.47 | ||
| Estradiol (E2) >40 pg/mL | 3.41 (1.74–6.67) | <0.001 | 2.04 (1.01–4.10) | 0.047 |
| Progesterone >1.13 ng/mL | 2.83 (1.50–5.33) | 0.001 | 1.65 (0.85–3.18) | 0.14 |
| Testosterone >4.4 ng/mL | 1.10 (0.63–1.91) | 0.74 | ||
| APACHE II ≥25 | 7.73 (3.28–18.22) | <0.001 | 5.94 (2.49–14.20) | <0.001 |
Relative risk and 95% confidence interval were derived from the Cox proportional-hazards regression model.
HR, hazard ratio; CI, confidence interval.
Figure 5Organ dysfunctions in patients with pneumonia-related septic shock.
The occurrence of organ dysfunction at the onset of septic shock was compared based on higher and lower serum (A) estradiol and (B) progesterone levels. Statistical significance was examined using the Pearson’s chi-square test. ARDS, acute respiratory distress syndrome.
Figure 6Association between serum sex hormone levels and the presence of acute kidney injury.
The serum sex hormone levels are determined at the time of study enrollment, i.e. within 24 hours of the development of septic shock. (A) Receiver operator characteristic (ROC) curves of serum sex hormone levels and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores for predicting AKI on enrollment. The areas under the ROC curves (AUCs) for progesterone, estradiol, and APACHE II scores were all greater than 0.5. (B) Serum estradiol and progesterone levels in pneumonia-related septic shock patients with severity of acute kidney injury stratified by RIFLE classification. Medians and interquartile ranges (IQR) of the estradiol (shaded bars) and progesterone levels (solid bars) are shown. Statistical significance was evaluated with the two-sided Mann-Whitney U test. Extreme values are not shown.
Univariate and multivariate analysis of predictive factors for the presence of concomitant acute kidney injurya.
| Univariate Analysis | Multivariate Analysis | |||
| Variables | OR (95% CI) |
| OR (95% CI) |
|
| Age | 1.05 (1.003–1.09) | 0.034 | 1.03 (0.98–1.08) | 0.26 |
| Male gender | 2.72 (0.86–8.59) | 0.09 | 2.72 (0.74–10.03) | 0.13 |
| Comorbidity | ||||
| Diabetes mellitus | 1.28 (0.54–3.03) | 0.58 | ||
| Obstructive airway disease | 0.89 (0.36–2.19) | 0.80 | ||
| Interstitial lung disease | 0.28 (0.07–1.12) | 0.07 | 0.26 (0.06–1.21) | 0.09 |
| Chronic renal insufficiency | 1.40 (0.50–3.95) | 0.52 | ||
| Congestive heart failure | 1.41 (0.43–4.62) | 0.57 | ||
| Estradiol (E2) >40 pg/mL | 5.96 (2.56–13.91) | <0.001 | 4.73 (1.80–12.44) | 0.002 |
| Progesterone >1.13 ng/mL | 2.73 (1.24–6.02) | 0.013 | 1.33 (0.50–3.50) | 0.57 |
| Testosterone >4.4 ng/mL | 1.04 (0.49–2.23) | 0.92 | ||
Pneumonia-related septic shock patients enrolled for analysis.
OR, odds ratio; CI, confidence interval.
Figure 7New onset of acute kidney injury within 28 days after septic shock onset.
The development of new AKI between patients with higher and lower estradiol levels was compared by (A) proportion, and (B) Kaplan-Meier analysis. Statistical significance was examined with the chi-squared test and log-rank test respectively.