Follow-up Creatinine Level Is an Important Predictive Factor of In-hospital Mortality in Cirrhotic Patients with Spontaneous Bacterial Peritonitis

Predictive factors of recurrence in spontaneous bacterial peritonitis in Tunisian patients with cirrhosis

Introduction

Recurrent spontaneous bacterial peritonitis (SBP) in patients with cirrhosis is associated with poor prognosis.

Aim

To assess the prevalence and the risk factors for recurrence and to evaluate its impact on the prognosis.

Materials & methods

We conducted a retrospective study including patients with cirrhosis having a first episode of SBP.

Results

A recurrence of SBP was identified in 43.4% of the patients who survived after a first episode of SBP. The mean time to onset of the first SBP recurrence from the first episode was 32 days. Recurrence factors were endoscopic hypertensive signs, a positive ascites culture, diarrhea and the MELD score.

Conclusion

There was no impact on survival of recurrent SBP compared with the first SBP episode.

MCP1, CRP and Procalcitonin as Novel Diagnostic Markers in Cirrhotic Patients with Spontaneous Bacterial Peritonitis

Background & Aims:

The aim of the study was to evaluate serum c-reactive protein (CRP), ascitic procalcitonin (PCT) and monocyte chemotactic protein-1 (MCP-1) in the diagnosis of spontaneous bacterial peritonitis (SBP) in cirrhotic patients.

Methods:

A cross-sectional analytic study that included 199 patients with decompensated cirrhosis (101 with SBP and 98 without SBP). Patients were classified according to Child-Pugh criteria. Ascitic PCT and MCP-1 were measured by enzyme-linked immunosorbent assay. Serum CRP, liver and renal functions were assessed.

Results:

Three markers are significantly elevated in SBP patients than those without ascites. Using the ROC curve at AUC 0.883 and a cut-off value of >186 ng/ml, the diagnostic performance of ascitic MCP-1 level was higher than CRP (AUC 0.562) and ascitic fluid procalcitonin (AUC 0.751) in the diagnosis of SBP. The sensitivity and specificity were 86.15% and 79.59% at the cutoff of 186 ng/ml for MCP-1, 65.4 and 75.5 at ≥ 1 ng/ml for PCT, and 52.5 and 64.3, respectively for at 11.2 mg/dl CRP.

Conclusion:

Ascitic MCP-1 has a better diagnostic value with higher sensitivity and specificity in diagnosis SBP compared to CRP and procalcitonin which has higher diagnostic accuracy than CRP. Further studies with a large number will be necessary to evaluate the usefulness of these markers in diagnosis, follow-up and relation to morbidity and mortality of SBP patients.

Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: a singled centered retrospective study

Background

Invasive candidal infection combined with bacterial bloodstream infection is one of the common nosocomial infections that is also the main cause of morbidity and mortality. The incidence of invasive Candidal infection with bacterial bloodstream infection is increasing year by year worldwide, but data on China is still limited.

Methods

We included 246 hospitalised patients who had invasive candidal infection combined with a bacterial bloodstream infection from January 2013 to January 2018; we collected and analysed the relevant epidemiological information and used machine learning methods to find prognostic factors related to death (training set and test set were randomly allocated at a ratio of 7:3).

Results

Of the 246 patients with invasive candidal infection complicated with a bacterial bloodstream infection, the median age was 63 years (53.25–74), of which 159 (64.6%) were male, 109 (44.3%) were elderly patients (> 65 years), 238 (96.7%) were hospitalised for more than 10 days, 168 (68.3%) were admitted to ICU during hospitalisation, and most patients had records of multiple admissions within 2 years (167/246, 67.9%). The most common blood index was hypoproteinemia (169/246, 68.7%), and the most common inducement was urinary catheter use (210/246, 85.4%). Moreover, the most frequently infected fungi and bacteria were Candida parapsilosis and Acinetobacter baumannii, respectively. The main predictors of death prognosis by machine learning method are serum creatinine level, age, length of stay, stay in ICU during hospitalisation, serum albumin level, C-Reactive protein (CRP), leukocyte count, neutrophil count, Procalcitonin (PCT), and total bilirubin level.

Conclusion

Our results showed that the most common candida and bacteria infections were caused by Candida parapsilosis and Acinetobacter baumannii, respectively. The main predictors of death prognosis are serum creatinine level, age, length of stay, stay in ICU during hospitalisation, serum albumin level, CRP, leukocyte count, neutrophil count, PCT and total bilirubin level.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12879-022-07125-8.

Development and Validation of a Prognostic Model for One-year Survival of Cirrhosis Patients with First-ever Spontaneous Bacterial Peritonitis

BACKGROUND AND AIMS

Spontaneous bacterial peritonitis (SBP) is one of the leading causes of death in patients with liver cirrhosis. We aimed to establish a prognostic model to evaluate the 1-year survival of cirrhosis patients after the first episode of SBP.

METHODS

A prognostic model was developed based on a retrospective derivation cohort of 309 cirrhosis patients with first-ever SBP and was validated in a separate validation cohort of 141 patients. We used Uno's concordance, calibration curve, and decision curve (DCA) analysis to evaluate the discrimination, calibration, and clinical net benefit of the model.

RESULTS

A total of 59 (19.1%) patients in the derivation cohort and 42 (29.8%) patients in the validation cohort died over the course of 1 year. A prognostic model in nomogram form was developed with predictors including age [hazard ratio (HR): 1.25; 95% confidence interval (CI): 0.92-1.71], total serum bilirubin (HR: 1.66; 95% CI: 1.28-2.14), serum sodium (HR: 0.94; 95% CI: 0.90-0.98), history of hypertension (HR: 2.52; 95% CI: 1.44-4.41) and hepatic encephalopathy (HR: 2.06; 95% CI: 1.13-3.73). The nomogram had a higher concordance (0.79) compared with the model end-stage liver disease (0.67) or Child-Turcotte-Pugh (0.71) score. The nomogram also showed acceptable calibration (calibration slope, 1.12; Bier score, 0.15±0.21) and optimal clinical net benefit in the validation cohort.

CONCLUSIONS

This prediction model developed based on characteristics of first-ever SBP patients may benefit the prediction of patients' 1-year survival.

Spontaneous bacterial peritonitis mortality trends of cirrhotic patients in the last decade in Constanta County

Spontaneous bacterial peritonitis (SBP) is a complication of liver cirrhosis with an increased in-hospital mortality rate. For this reason, the aim of the present study was to examine the main predictors of mortality in order to be able to identify high-risk patients in time and to guide the optimal treatment for prognosis improvement. We retrospectively collected demographic, clinical, laboratory and treatment data as well as data regarding length of stay and cost of hospitalization from 72 patients diagnosed with SBP between January 2010 and December 2019 in the Emergency Clinical Hospital St. Apostle Andrew, Constanta, Romania. Patients were divided into two groups: Those who survived and those who died. Logistic regression was used to identify a possible association between these factors and the increased risk of mortality. Univariate analysis revealed that clinical factors (fever, chills, and hepatic encephalopathy), biological factors such as serum and ascites leukocyte value, polymorphonuclear percentage (PMN), erythrocyte sedimentation rate (ESR) value, previous SBP episodes, and the presence of complications such as acute kidney injury (AKI), sepsis, and systemic inflammatory response syndrome (SIRS) were significantly associated with in-hospital mortality in patients with SBP. Multivariate analysis revealed that SIRS (P=0.0010) and fever (P=0.0258) were significantly associated with in-hospital mortality in patients with SBP. Findings of the present study suggest that, SIRS and fever were independent predictive factors of mortality in cirrhotic patients with SBP.

Combined LC-MS/MS and 16S rDNA analysis on mice under high temperature and humidity and Herb Yinchen protection mechanism

With increased global warming, the impact of high temperature and humidity (HTH) on human health is increasing. Traditional Chinese medicine describes the Herb Yinchen as a remedy for reducing heat and eliminating dampness. This study focused on the impact of HTH conditions on mice and the potential protective effect of Herb Yinchen. Five male Balb/c mouse groups included two normal control groups, two HTH-exposed groups, and one Yinchen-treated group. For either three or ten days, normal and HTH-exposed mice were housed under normal or HTH (33 ± 2 °C,85% relative humidity) conditions, respectively. Yinchen-treated mice, housed under HTH conditions, received the Herb Yinchen decoction for three days. Metabolite profiles of plasma and liver samples from each group were analyzed using LC–MS/MS. Fecal DNA was extracted for 16S rDNA analysis to evaluate the intestinal microbiome. Spearman correlation analysis was performed on metabolites, bacteria, and bile acids that differed between the groups. We found that HTH altered the host metabolite profiles and reduced microbial diversity, causing intestinal microbiome imbalance. Interestingly, Herb Yinchen treatment improved HTH-mediated changes of the metabolite profiles and the intestinal microbiome, restoring them to values observed in normal controls. In conclusion, our study reveals that HTH causes intestinal bacterial disturbances and metabolic disorders in normal mice, while Herb Yinchen could afford protection against such changes.

Predictive value of the maximum serum creatinine value and growth rate in acute paraquat poisoning patients

This retrospective and a single-center study evaluated the prognostic value of the maximum serum creatinine value (maxCr) and the maximum serum creatinine growth rate (Vmax) after paraquat (PQ) ingestion. One hundred and seventy-one patients with PQ poisoning were treated with a uniform protocol. Demographic variables, clinical manifestations, relevant laboratory data, maxCr and Vmax of all patients were recorded and calculated. The time after PQ ingestion of maxCr and Vmax were also recorded. Vmax and MaxCr exhibited statistically significant differences between the survivor (n = 53) and death (n = 118) groups. Vmax appeared earlier in the death group than the survivor group. Regard to the receiver operating characteristic (ROC) curve analysis, Vmax had an AUC of 0.861 (95% CI, 0.801–0.921) and the optimal cut-off value of 6.21 μmol/(L·h) (sensitivity, 76.3%; specificity, 81.1%). MaxCr had an area under the curve (AUC) of 0.821 (95% CI, 0.752–0.889) and the optimal cut-off value of 225.5 µmol/L (sensitivity, 82.2%; specificity, 67.9%). The comparison of the AUC in the two parameters showed no significant difference, but Vmax appeared earlier than maxCr. Based on binary logistic regression analysis, MaxCr and Vmax both showed strong predictive powers for evaluating the prognosis of acute PQ poisoning patients.