Bacteraemia and quick Sepsis Related Organ Failure Assessment (qSOFA) are independent risk factors for long-term mortality in very elderly patients with suspected infection: retrospective cohort study

Identifying key blood markers for bacteremia in elderly patients: insights into bacterial pathogens

Background

This study aimed to assess the distribution of bacteremia pathogens in elderly patients, examine the impact of gender on pathogen distribution, and evaluate the predictive value of routine blood parameters for diagnosing bacteremia.

Methods

A retrospective analysis was conducted on 151 elderly patients (≥60 years old) admitted to Fuding Hospital, Fujian University of Traditional Chinese Medicine between October 2022 and June 2023. Comprehensive routine blood tests and blood cultures were performed. The diagnostic efficacy of routine blood parameters, including white blood cell (WBC), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and red blood cell distribution width (RDW), was evaluated using receive operating characteristic (ROC) curve analysis. Patients were categorized into either the culture-positive group (82 cases) or the culture-negative group (69 cases) according to blood culture results.

Results

No significant differences in age and gender were found between the culture-positive and culture-negative groups. The primary bacterial pathogens of bacteremia in the elderly were Escherichia coli, Klebsiella pneumoniae and Streptococcus. Elderly female patients demonstrated a significantly higher culture positivity rate for E. coli compared to their male counterparts (P = 0.021). The areas under the ROC curve (AUC) for the four parameters were as follows: WBC, 0.851 (95% confidence interval (CI) 0.790 - 0.912); NLR, 0.919 (95% CI 0.875 - 0.963); PLR, 0.609 (95% CI 0.518 - 0.700); and RDW was 0.626 (95% CI 0.563 - 0.717).

Conclusions

E. coli was identified as the predominant pathogenic microorganism causing bacteremia in the elderly, with a significantly higher culture positivity rate among female patients. Routine blood parameters (WBC, NLR, PLR, and RDW) demonstrated a predictive potential for diagnosing bacteremia in elderly patients.

Predicting microRNAs and their Target Genes Involved in Sepsis Pathogenesis by using Bioinformatics Methods

INTRODUCTION

Sepsis, like neutropenic sepsis, is a medical condition in which our body overreacts to infectious agents. It is associated with damage to normal tissues and organs by the immune system, which leads to the spread of inflammation throughout our body. Of note, microRNAs (miRNAs) have been found to have a critical role in the sepsis progression. Such miRNAs are registered in the miRNA databases, such as Gene Expression Omnibus (GEO), with a specific identifier and unique characteristics. There is also computational software, such as TargetScan, that are broadly employed for the analysis of miRNAs, including their identification, target prediction, and functional analysis.

METHODS

The current In-silico study aimed to predict miRNAs involved in sepsis progression. To this end, the GEO database was employed to find the sepsis-related genome profile. Afterward, down-regulated genes were selected for further bioinformatics analysis with the assumption that their decreased expression is associated with an increased sepsis progression. The miRNAs complementary to the selected genes were then predicted using TargetScan software. Based on the current In-silico analysis, seven miRNAs, including hsa-miR-325-3p, hsa-miR-146a-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-223-3p, hsa-miR-145-5p, and has-miR-181 family, were predicted to participate in sepsis pathogenesis. Among the predicted miRNAs, hsa-miR-325-3p has not been previously predicted or validated to be involved in septic conditions.

RESULTS

Our prediction results showed that hsa-miR-325-3p may target genes implicating in both anti-(ETFB gene) and pro-inflammatory (TCEA1 and PTPN1 genes) responses, suggesting it is an immune hemostasis regulator during sepsis inflammation. Although the role of other predicted miRNAs has been already validated in the sepsis pathogenesis, the current study predicted new targets of these miRNAs, which have not been reported by previous in-silico or experimental studies on sepsis and other pathogenic conditions. Notably, other miRNAs, including hsa-miR-146a-3p, hsa-miR-126-5p, hsa-miR-22-3p, hsa-miR-223-3p, and hsa-miR-145-5p were predicted to target genes participating in inflammatory responses, including BLOC1S1, POLR2G, PTPN1, TCEA1, and CCT3.

CONCLUSION

In conclusion, the results of the present study can provide promising targets as therapeutic and diagnostic tools to treat and manage inflammation sepsis, such as neutropenic sepsis. However, these findings should be further evaluated in experimental studies to find their exact effects and underlying mechanisms.

Evaluation of elderly patients with bacteremia in the cardiology intensive care unit

In this study, the blood culture results of patients aged >65 years who were admitted to the cardiology intensive care unit in a training and research hospital and who had positive blood cultures within the first 48 hours were evaluated. This was a retrospective, observational and nonrandomized study. Patient data at the time of the blood culture were included in the study. Sex, age, length of hospital stay, mortality, Acute Physiology Chronic Health Evaluation II score, laboratory values, and microorganisms grown in blood culture included in the study. Two hundred forty-seven patients, 43.3% of whom were female (n = 107), were included in the study. The median age of the patients was 75 (range 70-83). The mean hospital stay was 5 days (range 3-8). All patients had a median Acute Physiology Chronic Health Evaluation II score of 21 (range 19-23). The overall mortality rate 48.2% (n = 119). The results showed that 49.8% of those died and 50.2% of survivors had positive blood culture results. The most common gram-positive cocci in those died were Staphylococcus hominis (15.6%), Staphylococcus epidermis (14.8%), Enterococcus faecium (9.6%). The most common gram-negative cocci were Escherichia coli (9.6%), Klebsiella pneumoniae (9.6%), Acinetobacter baummanii (1.6%). With an increase in the elderly population, infection management in elderly patients hospitalized in cardiology intensive care units has become increasingly critical.

Association between delayed invasive blood pressure monitoring and all-cause mortality in intensive care unit patients with sepsis: a retrospective cohort study

Purpose

Haemodynamic management is essential in sepsis management. Invasive blood pressure (IBP) monitoring is the gold standard for blood pressure (BP) assessment. Here, we identified the most advantageous time frame for IBP monitoring to mitigate adverse outcomes in patients with sepsis.

Methods

We included data on patients with sepsis from the Medical Information Mart for Intensive Care IV database. The primary endpoints comprised 28-and 90-day mortality rates, whereas secondary endpoints were acute kidney injury (AKI) rates and continuous renal replacement therapy (CRRT) requirement. To confirm our findings' robustness, we performed multivariable Cox regression and logistic regression models, augmented by propensity score matching (PSM).

Results

Of 18,326 patients hospitalised for sepsis, 9,056 (49.42%) and 9,270 (50.58%) were included in the early and delayed IBP-monitoring groups, respectively. Our multivariable Cox regression models revealed 20 and 21% significant increases in 28-and 90-day mortality in the delayed IBP monitoring group, respectively [hazard ratios (95% confidence intervals) = 1.20 (1.11-1.31) and 1.21 (1.12-1.31), respectively; both p < 0.001]. Moreover, significant increases were noted in AKI, CRRT and mechanical ventilation requirement risks in the delayed IBP monitoring group [odds ratios (95% confidence intervals) = 1.44 (1.34-1.56), 1.50 (1.26-1.78) and 1.79 (1.67-1.92), respectively; both p < 0.001]. PSM further confirmed the validity of our findings. Delayed IBP monitoring prolonged intensive care unit (ICU) stay without extending vasopressor use duration.

Conclusion

Prolonged delay in IBP monitoring (≥3 h) may increase mortality risks in ICU patients with sepsis. Nevertheless, early IBP monitoring may reduce AKI, CRRT and mechanical ventilation requirement risks and shorten ICU stay. However, these results warrant further validation through randomised controlled trials.

Impact of beta-blocker usage on delirium in patients with sepsis in ICU: a cross-sectional study

Introduction

Delirium in patients with sepsis can be life-threatening. This study aims to investigate the impact of the use of beta-blockers on the occurrence of delirium in patients with sepsis in the ICU by utilizing a comprehensive dataset.

Methods

This is a cross-sectional study conducted using the data obtained from a single ICU in the USA. Patients diagnosed with sepsis and receiving beta-blockers were compared with those not receiving beta-blockers. Propensity score matching (PSM) and multiple regression analysis were employed to adjust for potential confounders.

Results

Among the 19,660 patients hospitalized for sepsis, the beta-blocker and non-user groups comprised 13,119 (66.73%) and 6,541 (33.27%) patients, respectively. Multivariable logistic regression models revealed a significant reduction of 60% in 7-day delirium for beta-blocker users (OR = 0.40, 95% CI: 0.37-0.43, p < 0.001), for 30-day delirium (OR = 0.32, 95% CI: 0.29-0.35, p < 0.001), and for 90-day delirium (OR = 0.33, 95% CI: 0.30-0.35, p < 0.001). The PSM results further strengthen the validity of these findings. An analysis of safety issues demonstrated that beta-blockers may have an impact on the risk of acute kidney injury. However, following PSM, the results are not considered robust. Furthermore, there was no discernible change in the odds of renal replacement therapy and the length of ICU stays.

Discussion

Our findings suggest a potential protective effect of beta-blockers against delirium in patients with sepsis. Nevertheless, the observational design limits causal inference, necessitating future randomized controlled trials to validate these findings.

Risk Factors and Mortality Outcomes in Elderly Patients With Bloodstream Infections: A Retrospective Analysis

Background The objective of our investigation was to evaluate the mortality rate and predictor factors that are associated with bloodstream infections (BSIs) in elderly patients who are admitted to the internal medicine ward. Materials and methods A retrospective cross-sectional analysis was conducted at a 550-bed tertiary care hospital in Peshawar, Pakistan, from January 2021 to June 2022. The study involved elderly inpatients aged 65 and older with positive culture results detected within two days of admission. Data collection involved demographic and patient-related risk variables, BSI-related risk factors, and environmental risk factors, with statistical analysis performed using the Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 26.0, Armonk, NY). Results Of the total study sample (n=186), 103 (55.4%) survived while 83 (44.6%) did not. The non-survivor group had a higher median Sequential Organ Failure Assessment (SOFA) score (6 vs. 2, p<0.0001) and Charlson Comorbidity Index (5 ± 2 vs. 3 ± 2, p<0.0001), with more frequent immunosuppression (25.3% vs. 8.7%, p=0.001). Additionally, gram-positive bacteria were more common in non-survivors (42% vs. 10%, p<0.0001), while gram-negative bacteria were more prevalent in survivors (73% vs. 36%, p=0.002). Conclusions Our research validates that BSI in older adults is a serious condition that is linked to a substantial death rate during hospitalization. The biggest determinant of death in older patients with BSI is the severity of clinical symptoms evaluated by the SOFA score upon admission. It is imperative to acknowledge that respiratory-induced BSIs are the most fatal, and patients who are hospitalized and admitted to the intensive care unit (ICU) are at an elevated risk.

Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis

BACKGROUND

Urinary tract infection (UTI) is a common cause of sepsis. Elderly patients with urosepsis in intensive care unit (ICU) have more severe conditions and higher mortality rates owing to factors such as advanced age, immunosenescence, and persistent host inflammatory responses. However, comprehensive studies on nomograms to predict the in-hospital mortality risk in elderly patients with urosepsis are lacking. This study aimed to construct a nomogram predictive model to accurately assess the prognosis of elderly patients with urosepsis and provide therapeutic recommendations.

METHODS

Data of elderly patients with urosepsis were extracted from the Medical Information Mart for Intensive Care (MIMIC) IV 2.2 database. Patients were randomly divided into training and validation cohorts. A predictive nomogram model was constructed from the training set using logistic regression analysis, followed by internal validation and sensitivity analysis.

RESULTS

This study included 1,251 patients. LASSO regression analysis revealed that the Glasgow Coma Scale (GCS) score, red cell distribution width (RDW), white blood count (WBC), and invasive ventilation were independent risk factors identified from a total of 43 variables studied. We then created and verified a nomogram. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) of the nomogram were superior to those of the traditional SAPS-II, APACHE-II, and SOFA scoring systems. The Hosmer-Lemeshow test results and calibration curves suggested good nomogram calibration. The IDI and NRI values showed that our nomogram scoring tool performed better than the other scoring systems. The DCA curves showed good clinical applicability of the nomogram.

CONCLUSIONS

The nomogram constructed in this study is a convenient tool for accurately predicting in-hospital mortality in elderly patients with urosepsis in ICU. Improving the treatment strategies for factors related to the model could improve the in-hospital survival rates of these patients.

Patient predictors of pathogenic versus commensal Gram-positive bacilli organisms isolated from blood cultures

Objective

Gram-positive bacilli represent a diverse species of bacteria that range from commensal flora to pathogens implicated in severe and life-threatening infection. Following the isolation of Gram-positive bacilli from blood cultures, the time to species identification may take upward of 24 hours, leaving clinicians to conjecture whether they may represent a contaminant (inadvertent inoculation of commensal flora) or pathogenic organism. In this study, we sought to identify patient variables that could help predict the isolation of contaminant versus pathogenic Gram-positive bacilli from blood cultures.

Design

Retrospective cohort study.

Settings

One quaternary academic medical center affiliated with the University of Toronto.

Patients

Adult inpatients were admitted to hospital over a 5-year period (May 2014 to December 2019).

Methods

A total of 260 unique Gram-positive bacilli blood culture results from adult inpatients were reviewed and analyzed in both a univariable and multivariable model.

Results

Malignancy (aOR 2.78, 95% CI 1.33-5.91, p = 0.007), point increments in the Quick Sepsis Related Organ Failure Assessment score for sepsis (aOR 2.25, 95% CI 1.50-3.47, p < 0.001), peptic ulcer disease (aOR 5.63, 95% CI 1.43-21.0, p = 0.01), and the receipt of immunosuppression prior to a blood culture draw (aOR 3.80, 95% CI 1.86-8.01, p < 0.001) were associated with an increased likelihood of speciating pathogenic Gram-positive bacilli from blood cultures such as Clostridium species and Listeria monocytogenes.

Conclusion

Such predictors can help supplement a clinician's assessment on determining when empirical therapy is indicated when faced with Gram-positive bacilli from blood cultures and may direct future stewardship interventions for responsible antimicrobial prescribing.

Association between geriatric nutritional risk index and 28 days mortality in elderly patients with sepsis: a retrospective cohort study

Background

There is a significant controversy surrounding the impact of the geriatric nutritional risk index (GNRI) on mortality among elderly septic patients. This retrospective cohort study aimed to investigate the association between GNRI at admission and 28 days mortality in elderly septic patients.

Methods

We retrospectively analyzed data collected from the MIMIC IV database between 2009 and 2019, which included 2,834 septic patients aged 65 years and above. The exposure variable was the GNRI, determined according to albumin levels, height, and weight. The primary outcome was 28 days mortality. We employed multivariable Cox regression analyses and Kaplan-Meier survival curves to examine the association between GNRI and 28 days mortality. We used restricted cubic splines to determine if there was a non-linear relationship between 28 days mortality and GNRI in elderly patients with sepsis and to examine the presence of a threshold saturation effect. In addition, interaction tests were conducted to identify subgroups that exhibited significant differences.

Results

A total of 2,834 elderly patients with sepsis participated in the study. Following adjustment, multivariable Cox regression analyses demonstrated that the GNRI was related to 28 days mortality (HR = 0.97, p < 0.001, 95% CI: 0.97-0.98). An L-shaped connection between GNRI and 28 days mortality was discovered via restricted cubic spline analysis, with an inflection point of 98.1. On the left side of the inflection point, GNRI levels were significantly negatively linked with 28 days mortality (HR = 0.967, 95% CI: 0.959-0.974; p < 0.001), and on the right side, there was no significant correlation (HR = 1.043, 95% CI: 0.984-1.106; p = 0.1549).

Conclusion

In this analysis of data from a large cohort of elderly septic patients, GNRI scores on admission were correlated with a 28 days risk of death from sepsis in the elderly suggesting that GNRI scores could serve as a valuable indicator for evaluating mortality rates among elderly septic patients in the intensive care unit (ICU).

Risk Factors for Bacteremia and Its Clinical Impact on Complicated Community-Acquired Urinary Tract Infection

Bacteremia has been associated with severity in some infections; however, its impact on the prognosis of urinary tract infections (UTIs) is still disputed. Our goal is to determine the risk factors for bacteremia and its clinical impact on hospitalized patients with complicated community-acquired urinary tract infections. We conducted a prospective observational study of patients admitted to the hospital with complicated community-acquired UTIs. Clinical variables and outcomes of patients with and without bacteremia were compared, and multivariate analysis was performed to identify risk factors for bacteremia and mortality. Of 279 patients with complicated community-acquired UTIs, 37.6% had positive blood cultures. Risk factors for bacteremia by multivariate analysis were temperature ≥ 38 °C (p = 0.006, OR 1.3 (95% CI 1.1-1.7)) and procalcitonin ≥ 0.5 ng/mL (p = 0.005, OR 8.5 (95% CI 2.2-39.4)). In-hospital and 30-day mortality were 9% and 13.6%, respectively. Quick SOFA (p = 0.030, OR 5.4 (95% CI 1.2-24.9)) and Barthel Index <40% (p = 0.020, OR 4.8 (95% CI 1.3-18.2)) were associated with 30-day mortality by multivariate analysis. However, bacteremia was not associated with 30-day mortality (p = 0.154, OR 2.7 (95% CI 0.7-10.3)). Our study found that febrile community-acquired UTIs and elevated procalcitonin were risk factors for bacteremia. The outcomes in patients with bacteremia were slightly worse, but without significant differences in mortality.

Association Between Lactate and 28-Day Mortality in Elderly Patients with Sepsis: Results from MIMIC-IV Database

INTRODUCTION

This study aimed to explore the association of serum lactate with clinical outcomes in elderly patients with sepsis based on data from the MIMIC-IV database.

METHODS

All elderly patients with sepsis (age ≥ 65 years) were included. Different models were constructed for exploring the relationships between lactate and 28-day mortality. A two-segment linear regression model was performed to verify the threshold effects of lactate on clinical outcomes and smooth curve fitting was performed.

RESULTS

A total of 4199 elderly patients with sepsis were included. The 28-day mortality was 32.22% (n = 1395). After adjustment for all potential cofounders, for each 1 mmol/l increment in lactate, the odds ratio (OR) of 28-day mortality was 1.23 (95% CI 1.18-1.28, P < 0.0001). Smooth fitting curves indicated a non-linear positive relationship between lactate and 28-day mortality. The turning point of lactate level was 5.7 mmol/l: at ≤ 5.7 mmol/l, with each 1 mmol/l increment in lactate, the risk of 28-day mortality increased significantly (OR 1.32, 95% CI 1.25-1.38, P < 0.0001); the significantly positive relationship was still present at lactate > 5.7 mmol/l (OR 1.10, 95% CI 1.04-1.18, P = 0.0019). The area under the ROC curve (AUC) of lactate was 0.618 (95% CI 0.599-0.635) and the cutoff value of lactate was 2.4 mmol/l with a sensitivity of 0.483 and a specificity of 0.687.

CONCLUSION

In elderly patients with sepsis, a non-linear positive relationship was discovered between serum lactate and 28-day mortality. Physicians should be alert to lactate assessment at admission and pay more attention to those patients with higher levels of lactate.

Influence of early enteral nutrition plus probiotics on intestinal function of senile patients with sepsis

PURPOSE

This research project aimed to discuss the effect of early enteral nutrition (EEN) plus probiotics on intestinal function of senile patients with sepsis.

METHODS

108 senile sepsis patients admitted to our hospital from January 2019 to January 2022 were selected in this retrospective study. These patients including 50 cases in a control group (CG) and 58 cases in a research group (RG). Both groups received EEN, but the research group was given EEN plus probiotics. The two cohorts of patients were compared with respect to treatment efficacy, intestinal mucosal barrier, nutritional status and 28-day mortality. Cox regression was performed to analyze the prognostic factors of elderly patients with sepsis.

RESULTS

Compared to the CG, the RG had evidently higher overall response rate and post-treatment albumin (Alb) and prealbumin (PA) levels, as well as statistically lower intestinal fatty acid binding protein, diamine oxidase, D-lactate and 28-day mortality. Furthermore, Alb and PA were identified as independent predictors of prognosis in elderly patients with sepsis.

CONCLUSIONS

EEN supplemented with probiotics is superior to EEN alone in the treatment of senile patients with sepsis. This combined regimen can significantly improve intestinal function, nutritional status and prognosis of patients. Moreover, Alb and PA are independently related to the prognosis of elderly patients with sepsis.