Predictors of Mortality and Drug Resistance Among Carbapenem-Resistant Enterobacteriaceae-Infected Pancreatic Necrosis Patients

Development and validation of an explainable machine learning model for mortality prediction among patients with infected pancreatic necrosis

Background

Infected pancreatic necrosis (IPN) represents a severe complication of acute pancreatitis, commonly linked with mortality rates ranging from 15% to 35%. However, the present mortality prediction tools for IPN are limited and lack sufficient sensitivity and specificity. This study aims to develop and validate an explainable machine learning (ML) model for death prediction among patients with IPN.

Methods

We performed a prospective cohort study of 344 patients with IPN consecutively enrolled from a large Chinese tertiary hospital from January 2011 to January 2023. Ten ML models were developed to predict 90-day mortality in these patients. A benchmarking test, involving nested resampling, automatic hyperparameter tuning and random search techniques, was conducted to select the ML model. Sequential forward selection method was employed to select the optimal feature subset from 31 candidate subsets to simplify the model and maximize predictive performance. The final model was internally validated with the 1000 bootstrap method and externally validated using an independent cohort of 132 patients with IPN retrospectively collected from another Chinese tertiary hospital from January 2018 to January 2023. The SHapley Additive exPlanations (SHAP) method was employed to interpret the model in terms of features importance and features effect. The final model constructed with optimal feature subset was deployed as an interactive web-based Shiny app.

Findings

Random survival forest (RSF) model showed the best predictive performance than other 9 ML models (internal validation, C-index = 0.863 [95% CI: 0.854-0.875]; external validation, C-index = 0.857 [95% CI: 0.850-0.865]). Multiple organ failure, Acute Physiology and Chronic Health Examination II (APACHE II) score ≥20, duration of organ failure ≥21 days, bloodstream infection, time from onset to first intervention <30 days, Bedside Index of Severity in Acute Pancreatitis score ≥3, critical acute pancreatitis, age ≥ 50 years, and hemorrhage were 9 most important features associated with mortality. Furthermore, SHAP algorithm revealed insightful nonlinear interactive associations between important predictors and mortality, identifying 9 features pairs with high interaction SHAP value and clinical significance. Two interactive web-based Shiny apps were developed to enhance clinical practicability: https://rsfmodels.shinyapps.io/IPN_app/ for cases where the APACHE II score was available and https://rsfmodels.shinyapps.io/IPNeasy/ for cases where it was not.

Interpretation

An explainable ML model for death prediction among IPN patients was feasible and effective, suggesting its superior potential in guiding clinical management and improving patient outcomes. Two publicly accessible web tools generated for the optimized model facilitated its utility in clinical settings.

Funding

The Natural Science Foundation of Hunan Province (2023JJ30885), Postdoctoral Fellowship Program of CPSF (GZB20230872), The Youth Science Foundation of Xiangya Hospital (2023Q13), The Project Program of National Clinical Research Center for Geriatric Disorders of Xiangya Hospital (2021LNJJ19).

Risk Factor Analysis and Molecular Epidemiological Investigation of Carbapenem-Resistant Enterobacteriaceae (CRE) Infection in Patients with Acute Pancreatitis

Objective

Patients with acute pancreatitis (AP) complicated by carbapenem-resistant Enterobacteriaceae (CRE) infection often have a higher mortality rate. However, little investigation on the risk factor analysis has been published for the AP complicated by CRE. Therefore, this study conducted a retrospective analysis of the clinical characteristics, risk factors, and molecular epidemiological features associated with CRE infection in patients with AP.

Methods

A total of 240 patients with AP were admitted to our hospital from 2011 to 2021 as the research objects, and were divided into a CRE group of 60 cases and a non-CRE group of 180 cases based on whether they were co-infected with CRE or not. Furthermore, both univariate analysis and multivariate analysis were used to analyze the risk factors of AP co-infection with CRE. In the CRE group, polymerase chain reaction (PCR) and agarose gel electrophoresis (AGE) were used to detect the expression of five common carbapenemase genes including bla KPC, blaIMP, blaVIM, blaNDM , and blaOXA-48 .

Results

The pathogenic bacteria in the CRE group are composed of Klebsiella pneumonia at 35.00%, Escherichia coli at 33.33%, Enterobacter cloacae at 25.00%, and Citrobacter freundii at 6.67%. Multivariate analysis showed that APACHE-II scores (OR=1.22), history of abdominal surgery (OR=81.82), and ERCP (OR=3.66) were independent risk factors for AP co-infection with CRE (P<0.05). About half (18/40) of the CRE carried carbapenemase genes. bla KPC was the major carbapenemase gene.

Conclusion

There are many risk factors for AP co-infection with CRE, which can occur in patients with high APACHE-II scores, experienced ERCP, and a history of abdominal surgery.

Development and validation of a novel prediction model for Carbapenem-resistant organism infection in a large-scale hospitalized patients

Carbapenem-resistant organism (CRO) are defined as gram-negative bacteria. The lack of safe and effective antibiotics has led to an increase in incidence rate. The purpose of this study is to establish and determine a risk nomogram to predict CRO infection in hospitalized patients. Hospitalized patients' information were collected from the electronic medical record system of hospital between January 2019 and December 2022. Based on the inclusion and exclusion criteria, we identified 131390 inpatients who met the criteria for this study. For the training cohort, the area under the curves (AUC) for predicting the CRO infection was 0.935. For the validation cohort, the AUC for predicting the CRO infection was 0.937. We have developed the first novel nomogram to predict CRO infection in hospitalized patients, which is reliable and high-performance. The nomogram performs well among hospitalized patients and has good predictive ability.

Epidemiology and clinical characteristics of patients with carbapenem-resistant enterobacterales infections: experience from a large tertiary care center in a developing country

BACKGROUND

Carbapenem-resistant Enterobacterales (CREs) are a significant source of healthcare-associated infections. These bacteria are difficult to treat and have a high mortality rate due to high rates of antibiotic resistance. These pathogens are also linked to major outbreaks in healthcare institutions especially those with limited resources in infection prevention and control (IPC). Therefore, our study aimed to describe the epidemiology and clinical characteristics of patients with carbapenem-resistant Enterobacteriaceae in a referral hospital in a developing country.

METHODS

This was a retrospective cross-sectional study that included 218 patients admitted to An-Najah National University Hospital between January 1, 2021, and May 31, 2022. The target population was all patients with CRE infection or colonization in the hospital setting.

RESULTS

Of the 218 patients, 135 had CR-Klebsiella pneumoniae (61.9%), and 83 had CR-Escherichia coli (38.1%). Of these, 135 were male (61.9%) and 83 were female (38.1%), with a median age of 51 years (interquartile range 24-64). Malignancy was a common comorbidity in 36.7% of the patients. Approximately 18.3% of CRE patients were obtained from patients upon admission to the emergency department, the largest percentage among departments. Most CRE pathogens were isolated from rectal swabs, accounting for 61.3%. Among the 218 patients, colistin was the most widely used antimicrobial agent (13.3%). CR- E. coli showed resistance to amikacin in 23.8% of the pathogens tested and 85.7% for trimethoprim/sulfamethoxazole compared to CR- K. pneumonia, for which the resistance to trimethoprim/sulfamethoxazole was 74.1%, while for amikacin it was 64.2%. Regarding meropenem minimum inhibitory concentration, 85.7% of CR- E. coli were greater than 16 µg/mL compared to 84% of CR- K. pneumonia isolates.

CONCLUSION

This study found that CRE is frequently reported in this tertiary care setting, implying the presence of selective pressure and transmission associated with healthcare setting. The antibiotics tested showed a variety of resistance rates, with CR-K. pneumoniae being more prevalent than CR-E. coli, and exhibiting an extremely high resistance pattern to the available therapeutic options.

Clinical Characteristics, Drug Resistance, and Risk Factors for Death of Klebsiella pneumoniae Infection in Patients with Acute Pancreatitis: A Single-Center Retrospective Study from China

Objective

Infection is a common complication of acute pancreatitis (AP). Klebsiella pneumoniae (KP) is one of the most common pathogens associated with nosocomial infections. Our study focuses on investigating the clinical characteristics and risk factors for death of Klebsiella pneumoniae infections in AP patients, further to quantify the prognosis of the patients, and provide evidence for guiding antibiotic use and improving prognosis.

Methods

The data of epidemiology, clinical manifestations and drug resistance rate with K. pneumoniae infections in AP patients from January 1, 2012 to August 30, 2022 were retrospectively collected. Logistic regression model and Cox regression model were, respectively, used to determine the risk factors for carbapenem-resistant Klebsiella pneumoniae (CRKP) acquisition and death. The nomogram prediction model was built by RMS software package to predict the 90-day survival rate.

Results

One hundred and twenty-six AP patients combined with K. pneumoniae infections, with a mortality rate of 34.9%. The most common infection sites were pancreas and peri-pancreas (54.8%), followed by lung (20.6%) and blood stream (18.3%). The resistance rate of K. pneumoniae to commonly used antibiotics in clinical practice was high, especially CRKP, which was only sensitive to sulfamethoxazole-trimethoprim (SMZ-TMP) and tigecycline (TGC) (resistance rates were 37.57% and 17.57%, respectively). Independent risk factors for CPKP acquisition were male (OR = 1.655, 95% CI 0.642-4.265, P = 0.017) and PICC/CVC implantation (OR = 3.157, 95% CI 1.223-8.147, P = 0.021). Independent risk factors for mortality included carbapenem resistance (HR = 2.556, 95% CI 1.011-6.462, P = 0.047), hemorrhage (HR = 2.392, 95% CI 1.104-5.182, P = 0.027), septic shock (HR = 3.022, 95% CI 1.312-6.959, P = 0.009), age >60 years (HR = 2.977, 95% CI 1.303-6.799, P = 0.01), creatinine >177μmol/L (HR = 2.815, 95% CI 1.075-7.369, P = 0.035).

Conclusion

K. pneumoniae infection has become a serious threat for AP patients, which recommends us more attention and active new strategies seeking.

The impact of multi-drug resistant Pseudomonas aeruginosa infections on acute pancreatitis patients

INTRODUCTION

Acute pancreatitis (AP) accounts for a high proportion of digestive diseases worldwide and has a high risk of infection. Pseudomonas aeruginosa, a common pathogen of hospital infections, has been observed to increase the resistance rate to several antibiotics, causing difficulties in treatments. Our study aims to investigate the impact of the multi-drug resistant Pseudomonas aeruginosa (MDR-PA) infections on AP patients.

METHODS

At two Chinese tertiary referral centers for AP patients infected with MDR-PA, a retrospective case-control study with a 1:2 case-control ratio was performed. Comparisons were preformed between with/without MDR-PA infections and different drug-resistance of MDR-PA infections patients, respectively. Independent risk factors of overall mortality were assessed via univariate and multivariate binary logistic regression analyses, and the distribution and antibiotic resistant rates of strains were described.

RESULTS

Mortality in AP patients with MDR-PA infections was significantly higher than in those without MDR-PA infections (7 (30.4%) vs. 4 (8.7%), P = 0.048). The rate of prophylactic use of carbapenem for 3 days (0 vs. 50%, P = 0.019) and the incidence rate of multiple organ failure (MOF) (0 vs. 57.1%, P = 0.018) were remarkably higher in the carbapenem-resistant Pseudomonas aeruginosa group compared with the carbapenem-sensitive Pseudomonas aeruginosa group. In the multivariate analysis, the severe categories of AP (OR = 13.624, 95% CIs = 1.567-118.491, P = 0.018) and MDR-PA infections (OR = 4.788, 95% CIs = 1.107-20.709, P = 0.036) were independent risk factors for mortality. The resistance rates of MDR-PA strains were low for amikacin (7.4%), tobramycin (3.7%), and gentamicin (18.5%). The resistance rates of MDR-PA strains to imipenem and meropenem were up to, 51.9% and 55.6%, respectively.

CONCLUSION

In AP patients, severe categories of AP and MDR-PA infections were both independent risk factors for mortality. Inappropriate use of carbapenem antibiotics and MOF were related to carbapenem-resistant Pseudomonas aeruginosa infections. Amikacin, tobramycin, and gentamicin are recommended for the treatment of AP patients with MDR-PA infections.

Columnar graphical model of poor prognosis of severe acute pancreatitis complicated by carbapenem resistant Enterobacteriaceae infection

BACKGROUND

At present, there have been research reports on severe acute pancreatitis (SAP) complicated with carbapenem resistant Enterobacteriaceae (CRE) in China, but few studies have focused on factors affecting the prognosis of patients with SAP complicated with CRE. It is of important significance to identify adverse prognostic risk factors for SAP complicated with CRE to improve the prognosis.

AIM

To develop a line graph model of poor prognosis of CRE hospital infection with SAP.

METHODS

We retrospectively analyzed the clinical data of patients with SAP complicated by CRE hospital infection at our hospital from January 2016 to December 2020 and counted the distribution of pathogenic bacteria. The patients were divided into a poor prognosis group (n = 42) and a good prognosis group (n = 158) according to the prognosis to compare the difference in clinical data between the two groups. The factors responsible for poor prognosis of patients with SAP complicated by CRE infection were identified using logistic regression equation, and a columnar graphical model was then developed based on the influencing factors identified.

RESULTS

The source of specimens in 200 patients with SAP complicated by CRE was mainly abdominal drainage fluid (42.50%), and the pathogenic bacteria were mainly Klebsiella pneumoniae (45.00%) and Escherichia coli (27.50%). Acute physiology and chronic health evaluation II (APACHE II) score, length of intensive care unit (ICU) stay, white blood cell count (WBC), homocysteine (Hcy), C-reactive protein (CRP), number of affected organs, invasive operations, and mechanical ventilation differed significantly between the two groups (P < 0.05). APACHE II score, number of affected organs, mechanical ventilation, Hcy, and WBC were identified to be the influencing factors of poor prognosis in patients with SAP complicated by CRE hospital infection (P < 0.05). A line graph model of poor prognosis was developed based on the five influencing factors, and the initial C-index was 0.985.

CONCLUSION

The individualized column line graph model developed based on the factors influencing the poor prognosis of SAP complicated by CRE has good predictive value and is beneficial to the selection of clinical treatment plans.

Risk Factors for Carbapenem Resistant Gram Negative Bacteria (CR-GNB) Carriage Upon Admission to the Gastroenterology Department in a Tertiary First Class Hospital of China: Development and Assessment of a New Predictive Nomogram

BACKGROUND

With the increasing number of critically ill patients in the gastroenterology department (GED), infections associated with Carbapenem resistant gram-negative bacteria (CR-GNB) are of great concern in GED. As the turn-around time (TAT) for a positive screening culture result is slow, contact precaution and pre-emptive isolation, cohorting methods should be undertaken immediately on admission for high-risk patients. Accurate prediction tools for CR-GNB colonization in GED can help determine target populations upon admission. And thus, clinicians and nurses can implement preventive measures more timely and effectively.

OBJECTIVE

The purpose of the current study was to develop and internally validate a CR-GNB carrier risk predictive nomogram for a Chinese population in GED.

METHODS

Based on a training dataset of 400 GED patients collected between January 2020 and December 2021, we developed a model to predict CR-GNB carrier risk. A rectal swab was used to evaluate the patients' CR-GNB colonization status microbiologically. We optimized features selection using the least absolute shrinkage and selection operator regression model (LASSO). In order to develop a predicting model, multivariable logistic regression analysis was then undertaken. Various aspects of the predicting model were evaluated, including discrimination, calibration, and clinical utility. We assessed internal validation using bootstrapping.

RESULTS

The prediction nomogram includes the following predictors: Transfer from another hospital (Odds ratio [OR] 3.48), High Eastern Cooperative Oncology Group (ECOG) performance status (OR 2.61), Longterm in healthcare facility (OR 10.94), ICU admission history (OR 9.03), Blood stream infection history (OR 3.31), Liver cirrhosis (OR 4.05) and Carbapenem usage history within 3 month (OR 2.71). The model demonstrated good discrimination and good calibration.

CONCLUSION

With an estimate of individual risk using the nomogram developed in this study, clinicians and nurses can take more timely infection preventive measures on isolation, cohorting and medical interventions.

Impact of multiple drug-resistant Gram-negative bacterial bacteraemia on infected pancreatic necrosis patients

Introduction

Multiple drug-resistant Gram-negative bacterial (MDR-GNB) bacteraemia poses a serious threat to patients in hospital. Infected pancreatic necrosis (IPN) patients are a vulnerable population to infectious complications during hospitalization. This study aims to evaluate the impact of MDR Gram-negative bacteraemia on IPN patients.

Methods

A case-control study was performed with data collected from 1 January 2016 to 1 July 2022 in a Chinese tertiary teaching hospital. Clinical data of the IPN patients with MDR-GNB bacteraemia were analyzed and compared to those of a matched control group without MDR-GNB bacteraemia (case-control ratio of 1:2). Comparisons were performed between with/without MDR-GNB bacteraemia and different severities of acute pancreatitis (AP). Independent predictors of overall mortality were identified via univariate and multivariate binary logistic regression analyses.

Results

MDR-GNB bacteraemia was related to a higher mortality rate (62.5% vs. 8.3%, p < 0.001). Severe AP combined with MDR-GNB bacteraemia further increased mortality up to 81.3% (p = 0.025). MDR-GNB bacteraemia (odds ratio (OR) = 8.976, 95% confidence interval (CI) = 1.805 -44.620, p = 0.007) and severe AP (OR = 9.414, 95% CI = 1.742 -50.873, p = 0.009) were independent predictors of overall mortality. MDR- Klebsiella pneumoniae was the most common causative pathogen.

Conclusion

A higher mortality rate in IPN patients was related to MDR-GNB bacteraemia and further increased in severe AP patients combined with MDR-GNB bacteraemia.

Clinical Outcomes and Microbiological Characteristics of Sequence Type 11 Klebsiella pneumoniae Infection

Background

Sequence type 11 (ST11) Klebsiella pneumoniae (Kp) is highly prevalent in China and is a typical sequence type among KPC-producing isolates. This study aimed to evaluate the clinical outcomes and microbiological features of ST11 Kp infections.

Methods

A retrospective cohort study was conducted at Peking University Third Hospital from January 2017 to March 2021. Clinical data were collected from medical records. Antimicrobial susceptibility testing and string tests were performed. Whole-genome sequencing was used to analyze the capsular serotypes, detect virulence-associated genes, and perform multilocus sequence typing. The risk of all-cause mortality in ST11 Kp-infected patients was compared to that in non-ST11 Kp-infected patients.

Results

From 139 patients infected with Kp, 49 ST11 Kp (35.3%) strains were isolated. The Charlson comorbidity index in the ST11 group was higher than that in the non-ST11 group (3.94 ± 1.59 vs. 2.41 ± 1.54, P = 0.001). A greater number of ST11 Kp-infected patients required ICU admission (46.9 vs. 16.7%, P < 0.001) and mechanical ventilation (28.6 vs. 10.0%, P = 0.005). All ST11 isolates presented a multidrug-resistant (MDR) phenotype, and twenty-nine (59.2%) hypervirulent Kp (hvKp) were identified. Twenty-four ST11 strains presented with hypermucoviscosity. The presence of capsular types K47 and K64 was frequent in the ST11 Kp strains (P < 0.001). The key virulence-associated genes rmpA, rmpA2, iucA, iroB, and peg344 were present in 26.5, 42.9, 59.2, 0, and 26.5% of the isolates, respectively, in the ST11 group. Twenty-one ST11 isolates harbored the combination of iucA+rmpA2. The 30-day mortality rate and sequential organ failure assessment (SOFA) score were significantly higher in ST11 Kp-infected patients than in non-ST11 Kp-infected patients (P < 0.01). ST11 Kp infection appeared to be an independent risk factor for mortality in ST11 Kp-infected patients.

Conclusions

A high prevalence of the ST11 clone was found in the hospital, which accounted for elevated antimicrobial resistance and exhibited great molecularly inferred virulence. Patients with ST11 Kp infection had a tendency toward increased 30-day mortality and SOFA scores. ST11 Kp infection was an independent risk factor for mortality, suggesting that enhanced surveillance and management are essential.

Risk Factors for Mortality Among Critical Acute Pancreatitis Patients with Carbapenem-Resistant Organism Infections and Drug Resistance of Causative Pathogens

Introduction

Carbapenem-resistant organisms (CRO) have emerged as a major global public health threat, but their role in critical acute pancreatitis (CAP) is still not defined. Our study aims to investigate risk factors associated with mortality and drug resistance among CAP patients with CRO infection.

Methods

The clinical characteristics of CAP patients with CRO infection and drug resistance of causative pathogens from January 1, 2016, to October 1, 2021, were reviewed retrospectively. Independent risk factors for mortality were determined via univariate and multivariate analyses.

Result

Eighty-two CAP patients suffered from CRO infection, with mortality of 60.0%. The independent risk factors for mortality were procalcitonin > 5 ng/L (hazard ratio = 2.300, 95% confidence interval = 1.180–4.484, P = 0.014) and lactic acid > 2 mmol/L (hazard ratio = 2.101, 95% confidence interval = 1.151–3.836, P = 0.016). The pancreas was the main site of infection, followed by lung, bloodstream and urinary tract. Klebsiella pneumoniae and Acinetobacter baumannii were the main pathogenic bacteria of CRO strains with extensive antibiotic resistance (> 60%) to 6 of 8 common antibiotics, except sulfamethoxazole (56.3%) and tigecycline (33.2%).

Conclusion

CRO infection has become a serious threat for CAP patients, with high rates of mortality. Procalcitonin and lactic acid represent two independent risk factors for mortality in CAP patients with CRO infection. Klebsiella pneumoniae and Acinetobacter baumannii are the primary categories of CRO pathogens. Greater efforts are needed for early prevention and prompt treatment of CRO infections in CAP patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40121-022-00624-w.

Blood Urea Nitrogen as a Prognostic Marker in Severe Acute Pancreatitis

Objectives

To explore independent risk factors with good and early predictive power for SAP severity and prognosis.

Methods

Patients with SAP were enrolled at Central South University Xiangya Hospital between April 2017 and May 2021 and used as the training cohort. From June 2021 to February 2022, all patients with SAP were defined as external patients for validation. Patients were grouped by survival status at a 30-day posthospital admission and then compared in terms of basic information and laboratory tests to screen the independent risk factors.

Results

A total of 249 patients with SAP were enrolled in the training cohort. The all-cause mortality rate at a 30-day postadmission was 25.8% (51/198). Blood urea nitrogen (BUN) levels were significantly higher in the mortality group (20.45 [interquartile range (IQR), 19.7] mmol/L) than in the survival group (6.685 [IQR, 6.3] mmol/L; P < 0.001). After propensity score matching (PSM), the BUN level was still higher in the mortality group than in the survival group (18.415 [IQR, 19.555] mmol/L vs. 10.63 [IQR, 6.03] mmol/L; P = 0.005). The area under the curve (AUC) of the receiver operating characteristic curve (ROC) of BUN was 0.820 (95% confidence interval, 0.721–0.870; P < 0.001). The optimal BUN level cut-off for predicting a 30-day all-cause mortality was 10.745 mmol/L. Moreover, patients with SAP were grouped according to BUN levels and stratified according to optimal cut-off value. Patients with high BNU levels were associated with significantly higher rates of invasive mechanical ventilation (before PSM: 61.8% vs. 20.6%, P < 0.001; after PSM: 71.1% vs. 32%, P = 0.048) and a 30-day all-cause mortality (before PSM: 44.9% vs. 6.9%, P < 0.001; after PSM: 60% vs. 34.5%, P = 0.032) than those with low BNU levels before or after PSM. The effectiveness of BUN as a prognostic marker was further validated using ROC curves for the external validation set (n = 49). The AUC of BUN was 0.803 (95% CI, 0.655–0.950; P = 0.011). It showed a good ability to predict a 30-day all-cause mortality in patients with SAP. We also observed similar results regarding disease severity, including the Acute Physiology and Chronic Health Evaluation II score (before PSM: 16 [IQR, 8] vs. 8 [IQR, 6], P < 0.001; after PSM: 18 [IQR, 10] vs. 12 [IQR, 7], P < 0.001), SOFA score (before PSM: 7 [IQR, 5] vs. 3 [IQR, 3], P < 0.001; after PSM: 8 [IQR, 5] vs. 5 [IQR, 3.5], P < 0.001), and mMarshall score (before PSM: 4 [IQR, 3] vs. 3 [IQR, 1], P < 0.001; after PSM: 5 [IQR, 2.5] vs. 3 [IQR, 1], P < 0.001). There was significant increase in intensive care unit occupancy in the high BUN level group before PSM (93.3% vs. 73.1%, P < 0.001), but not after PSM (97.8% vs. 86.2%, P = 0.074).

Conclusions

Our results showed that BUN levels within 24 h after hospital admission were independent risk factors for a 30-day all-cause death in patients with SAP.

Impact of carbapenem-resistant Acinetobacter baumannii infections on acute pancreatitis patients

BACKGROUND

Carbapenem-resistant Acinetobacter baumannii (CRAB) infections present great challenges in clinical practices with high mortality. The aim of this study is to identify the impact of CRAB infections on acute pancreatitis (AP).

METHODS

A case-control study was performed via collecting data from March 1st, 2016 to August 1st, 2020 in two comprehensive teaching hospital. Clinical data of the CRAB-positive AP patients were analyzed and compared to a matched control group (case-control ratio of 1:1). Comparisons were preformed between with/without CRAB infections and multiple organ failure (MOF), respectively. Independent risk factors of overall mortality were determined via univariate and multivariate analyses.

RESULTS

CRAB infections were associated with higher mortality (49.2% vs. 23.0%, P < 0.01). CRAB combined with MOF increased a mortality up to 90% (P < 0.01). MOF (Odds ratio (OR) = 21.49, 95% confidence interval (CI) = 5.26-87.80, P < 0.01), CRAB infections (OR = 3.58, 95%CI = 1.24-10.37, P = 0.02) and hemorrhage (OR = 3.70, 95%CI = 1.21-11.28, P = 0.02) were independent risk factors of overall mortality. Lung was the most common site of strains (37 of 82). CRAB strains were highly resistant (>60%) to ten of eleven common antibiotics, except for tigecycline (28%).

CONCLUSION

High mortality rate in AP patients was associated with CRAB infections and further increased when CRAB infections combined with MOF.

Predictors of mortality in acute pancreatitis complicated with multidrug-resistant Klebsiella pneumoniae infection

Background

Multidrug-resistant (MDR) Klebsiella pneumoniae infections, from pancreatic infections to bloodstream infections, influence the mortality of patients with acute pancreatitis (AP) on the condition of limited antibiotic choices. The aim of this study was to investigate the predictor of mortality among AP patients complicated with MDR-K. pneumoniae infections.

Methods

Seventy-one AP patients who occurred MDR-K. pneumoniae infections from August 1st, 2016 to August 1st, 2020 were enrolled. MDR-K. pneumoniae was defined as the K. pneumoniae strain non-susceptible to at least one agent in three or more antimicrobial categories. MDR-K. pneumoniae isolates were confirmed by Vitek-2 system. Antibiotic susceptibility test was carried out using a micro broth dilution method. Clinical characteristics and drug-resistance rates were retrospectively reviewed, and the predictors of mortality were evaluated by univariate and multivariate analyses.

Results

The mortality rate of AP patients complicated with MDR-K. pneumoniae infections reached 46.5% (33 of 71), and pancreas (n = 53) was the most common site of MDR-K pneumoniae strains. The drug resistance rates of MDR-K. pneumoniae were high to 11 of 12 common antibiotics (more than 50.0%) except of tigecycline (23.9%). The predictor independently associated with mortality was septic shock (hazard ratio 2.959, 95% confidence intervals 1.396 – 6.272, P = 0.005).

Conclusions

More attention should be paid for pancreatic MDR-K. pneumoniae infections among AP patients The predictor for mortality of AP patients complicated with MDR-K. pneumoniae infection is septic shock. Therefore, further clinical investigations should focus on areas against septic shock.