Relationship Between Perioperative Factors and Splenic Artery Steal Syndrome After Orthotopic Liver Transplant: A Retrospective Clinical Study.

OBJECTIVES: After orthotopic liver transplant, ischemia of biliary tract and graft loss may occur due to impaired hepatic arterial blood flow. This situation with hypersplenism and impaired hepatic arterial blood flowis defined as splenic artery steal syndrome.The aim of this study was to investigate the relationship between perioperative factors and splenic artery steal syndrome in orthotopic liver transplant patients. MATERIALS AND METHODS: Forty-five patients who underwent orthotopic liver transplant between 2014 and 2022 were included in the study. The data for the patients were obtained from the hospital database, including the intraoperative anesthesiology and postoperative intensive care records. RESULTS: Eleven patients were diagnosed with splenic artery steal syndrome. Patients with splenic artery steal syndrome had higher need for intraoperative vasopressor agents (P = .016) and exhibited lower intraoperative urine output (P = .031). In the postoperative intensive care follow-up, patients with splenic artery steal syndrome had higher levels of C-reactive protein during the first 48 hours (P = .030). CONCLUSIONS: Intraoperative administration of vasopressor drugs, low urine output, and early postoperative high C-reactive protein levels were associated with the development of splenic artery steal syndrome in patients undergoing orthotopic liver transplant. Future studies should focus on investigation of biomarkers associated systemic hypoperfusion that may contribute to the development of splenic artery steal syndrome.

Worse pre-admission quality of life is a strong predictor of mortality in critically ill patients.

Objectives: In this study, we aimed to investigate whether quality of life (QoL) before intensive care unit (ICU) admission could predict ICU mortality in critically ill patients. Patients and methods: Between January 2019 and April 2019, a total of 105 ICU patients (54 males, 51 females; mean age: 58 years; range, 18 to 91 years) from two ICUs of a tertiary care hospital were included in this cross-sectional, prospective study. Pre-admission QoL was measured by the Short Form (SF)-12- Physical Component Scores (PCS) and Mental Component Scores (MCS) and EuroQoL five-dimension, five-level scale (EQ-5D-5L) within 24 h of ICU admission and mortality rates were estimated. Results: The overall mortality rate was 28.5%. Pre-admission QoL was worse in the non-survivors independent from age, sex, socioeconomic and education status, and comorbidities. During the hospitalization, the rate of sepsis and ventilator/hospital-acquired pneumonia were similar among the two groups (p>0.05). Logistic regression analysis adjusted for sex, age, education status, and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores showed that pre-admission functional status as assessed by the SF-12 MCS (odds ratio [OR]: 14,2; 95% confidence interval [CI]: 2.5-79.0), SF-12 PCS (OR: 10.6; 95% CI: 1.8-62.7), and EQ-5D-5L (OR: 8.0; 95% CI: 1.5-44.5) were found to be independently associated with mortality. Conclusion: Worse pre-admission QoL is a strong predictor of mortality in critically ill patients. The SF-12 and EQ-5D-5L scores are both valuable tools for this assessment. Not only the physical status, but also the mental status before ICU admission should be evaluated in terms of QoL to better utilize ICU resources.

Evaluation of the effect of antibiotics used during parenteral nutrition treatment on Candidemia

SUMMARY OBJECTIVE: Parenteral nutrition is an important risk factor for candidemia. In this risk analysis study, the effect of previous antibiotic administration apart from the length of hospital stay, duration of Parenteral nutrition treatment, and Candida score parameters on developing candidemia was evaluated in the non-neutropenic patients receiving Parenteral nutrition treatment. METHODS: In this double center, retrospective, and cross-sectional study, the data of patients who received Parenteral nutrition treatment were collected. Patients with or without candidemia after the initiation of Parenteral nutrition treatment were compared in terms of demographic features, Candida score, length of hospital stay, duration of Parenteral nutrition treatment, and previous use of antibiotics. Then, predictor factors affecting the probability of candidemia during Candida growth time were determined by the Cox regression analysis. RESULTS: A total of 148 patients (59.5% males) were included and 16 (10.81%) of these had candidemia after initiation of parenteral nutrition treatment. The median (min-max) duration of parenteral nutrition treatment was 11 (4-72) days and the Candida growth time was 13 (7-29) days. Statistically significant differences were found between patients with or without candidemia groups in terms of length of hospital stay (p<0.001), duration of parenteral nutrition treatment (p<0.001), and Candida score (p<0.001). To determine the effect of these variables and antibiotics on candidemia, length of hospital stay [Hazard Ratio 1.030; p=0.021] and piperacillin-tazobactam (Hazard Ratio 5.626; p=0.030) were found significant and independent risk factors on the development of candidemia. CONCLUSION: There are some well-known risk factors including length of hospital stay, duration of Parenteral nutrition treatment, and Candida score; the potential impact of piperacillin-tazobactam administration should also be considered since they may be effective on the development of candidemia.

Evaluation of the effect of antibiotics used during parenteral nutrition treatment on Candidemia.

OBJECTIVE: Parenteral nutrition is an important risk factor for candidemia. In this risk analysis study, the effect of previous antibiotic administration apart from the length of hospital stay, duration of Parenteral nutrition treatment, and Candida score parameters on developing candidemia was evaluated in the non-neutropenic patients receiving Parenteral nutrition treatment. METHODS: In this double center, retrospective, and cross-sectional study, the data of patients who received Parenteral nutrition treatment were collected. Patients with or without candidemia after the initiation of Parenteral nutrition treatment were compared in terms of demographic features, Candida score, length of hospital stay, duration of Parenteral nutrition treatment, and previous use of antibiotics. Then, predictor factors affecting the probability of candidemia during Candida growth time were determined by the Cox regression analysis. RESULTS: A total of 148 patients (59.5% males) were included and 16 (10.81%) of these had candidemia after initiation of parenteral nutrition treatment. The median (min-max) duration of parenteral nutrition treatment was 11 (4-72) days and the Candida growth time was 13 (7-29) days. Statistically significant differences were found between patients with or without candidemia groups in terms of length of hospital stay (p<0.001), duration of parenteral nutrition treatment (p<0.001), and Candida score (p<0.001). To determine the effect of these variables and antibiotics on candidemia, length of hospital stay [Hazard Ratio 1.030; p=0.021] and piperacillin-tazobactam (Hazard Ratio 5.626; p=0.030) were found significant and independent risk factors on the development of candidemia. CONCLUSION: There are some well-known risk factors including length of hospital stay, duration of Parenteral nutrition treatment, and Candida score; the potential impact of piperacillin-tazobactam administration should also be considered since they may be effective on the development of candidemia.

Potential Drug-Drug Interactions with Antimicrobials in Hospitalized Patients: A Multicenter Point-Prevalence Study.

BACKGROUND Improper use of antimicrobials can cause adverse drug events and high costs. The purpose of this study was to investigate the frequency and potential drug-drug interactions associated with antimicrobials among hospitalized patients. MATERIAL AND METHODS This study was conducted on the same day in 5 different hospitals in Turkey. We included patients aged ³18 years who received at least 1 antimicrobial drug and at least 1 of any other drug. The Micromedex® online drug reference system was used to control and describe the interactions. Drug interactions were classified as contraindicated, major, moderate, and minor. RESULTS Potential drug-drug interactions with antimicrobials were 26.4% of all interactions. Five (42%) of 12 contraindicated interactions and 61 (38%) of 159 major interactions were with antimicrobials. Quinolones, triazoles, metronidazole, linezolid, and clarithromycin accounted for 173 (25.7%) of 673 prescribed antimicrobials, but were responsible for 141 (92.1%) of 153 interactions. In multivariate analysis, number of prescribed antimicrobials (odds ratio: 2.3001, 95% CI: 1.6237-3.2582), number of prescribed drugs (odds ratio: 1.2008, 95% CI: 1.0943-1.3177), and hospitalization in the university hospital (odds ratio: 1.7798, 95% CI: 1.0035-3.1564) were independent risk factors for developing drug interactions. CONCLUSIONS Due to risk of drug interactions, physicians should be more cautious when prescribing antimicrobials, particularly when prescribing quinolones, linezolid, azoles, metronidazole, and macrolides.

Community acquired infections among refugees leading to Intensive Care Unit admissions in Turkey.

OBJECTIVES: Data on the impact of refugees on Intensive Care Units (ICUs) are lacking in the literature, in particular for community-acquired (CA) infectious diseases, for which they are known to be at higher risk. We did a descriptive, multicenter study to analyze CA infections among refugee patients requiring ICU admission. METHODS: Inclusion criteria were adult refugee patients admitted to an ICU due to CA infections. Anonymized data were collected between January 1, 2010 and December 30, 2015 across 10 referral centers. RESULTS: 29.885 patients were admitted to the ICUs in the study period. 37 patients were included the study, the majority were from Syria (n=31, 83.8%). Mean (SD) age of the patients was 45.92±20.16years. The 5-year prevalence rate was 123.8 per 100.000 patients in the ICUs. All patients had at least one comorbid condition. Forty-nine CA infections were diagnosed. The most common CA infection was pneumonia (49%) followed by urinary-tract infections (16.3%). 21 patients (56.7%) hospitalized in the ICU had trauma history. Mortality rate was high at 22 patients (59.5%) with 5 (22.7%) deaths directly attributed to CA infections. CONCLUSIONS: Refugees presented to ICUs with CA infections similar to the host populations (pneumonia and urinary-tract infections) but had high mortality rates (59.5%). It seems that Turkish ICUs were not congested with the refugee patients' influx for CA infections. More research needs to be done to better understand how to deliver preventative and timely health care services to this group of patients.