Factors affecting extubating time of postoperative patients who underwent congenital cardiac surgery: a randomized prospective study.

OBJECTIVE: Anesthesia management in pediatric cardiac surgery using health resources sparingly focuses on reducing morbidity and mortality and increasing patients' quality of life. The duration of postoperative mechanical ventilation (MV) heavily influences pediatric cardiac surgery recovery. Thus, in this study we aimed to determine factors influencing extubation times after pediatric cardiac surgery. PATIENTS AND METHODS: A total of 72 pediatric patients with an ASA score of III or above undergoing cardiac surgery were included in the study. As a result of their extubation time, the patients were divided into three groups as follows: those who were extubated immediately after surgery or in the operating room (OR) were recorded as Immediate Extubators (IE); those who were extubated within 6 to 48 hours of entering the intensive care unit were recorded as Early Extubators (EE), and those who were extubated after 48 hours or not extubated were recorded as Delayed Extubators (DE). RESULTS: A logistic regression analysis showed that anomalies and need of MV before surgery, airway difficulty, and prolonged cross-clamp (CC) time were observed as factors affecting DE. The risk of DE was significantly correlated with the presence of abnormality [Odds ratio (OR): 20.3, 95% Confident interval (CI): 2.8-142.7], with the need of MV before surgery (OR: 1,844, 95% CI: 1.8-1,790,461.9), and with the presence of airway difficulty (OR: 44.7, 95% CI: 4.4-445.0). In addition, it was determined that CC time increased the probability of DE 1.038 times per minute (95% CI: 1.004-1.072). CONCLUSIONS: Early and immediate extubation in children who underwent congenital heart surgery was successfully performed in our clinic. Early and immediate extubation in pediatric cardiac surgery can be completed safely and successfully when suitable conditions are provided.

Postoperative infection-related mortality and lymphocyte-to-C-reactive protein ratio in patients undergoing on-pump cardiac surgery: a novel predictor of mortality?

OBJECTIVE: This study aims to investigate the relationship between postoperative infection-related mortality and lymphocyte-to-C-reactive protein ratio (LCR), a newly defined parameter with the combination of inflammatory and immune parameters, in patients undergoing cardiac surgery. PATIENTS AND METHODS: Between January 2016 and November 2021, 236 patients who underwent on-pomp cardiac surgery with median sternotomy and developed postoperative infection were analyzed retrospectively. Patients were divided into six groups according to the types of postoperative infection. Preoperative, perioperative, and postoperative variables of the patient groups were compared, and factors affecting postoperative mortality were evaluated. RESULTS: The mortality rate in the patient group we included in the study was 22.9%. Mortality rates did not differ significantly between the infection groups. However, when the LCR value was evaluated between the groups, there was a statistically significant difference (p<0.001). The preoperative LCR cut-off value, which predicts postoperative infection-related mortality, was determined as 133.46 (area under the curve (AUC): 0.607, p=0.017, 48.1% sensitivity, and 47.8% specificity). In the multivariate analysis, postoperative cerebrovascular event (OR: 78.365, 95% CI: 12.367-496.547, p<0.001) and Intensive Care Unit (ICU) stay (odds ratio (OR): 1.136, 95% confidence interval (CI): 1.004-1.284, p=0.042) variables were found to be independent predictive factors of postoperative infection-related mortality in the model. There was no positive differentiation of the type of infection in predicting mortality. CONCLUSIONS: The calculated LCR value is a novel and remarkable parameter in estimating postoperative infection-related mortality in patients undergoing cardiac surgery.

Impact of obstructive sleep apnea on clinical outcomes in patients hospitalized with COVID-19.

PURPOSE: Data from large patient registry studies suggested an increased incidence and increased mortality in coronavirus disease-2019 (COVID-19) in patients with a history of obstructive sleep apnea (OSA). This study aimed to compare the prevalence of OSA in patients with and without COVID-19 among patients admitted to the same hospital in the same time period. In addition, the impact of OSA on clinical outcomes of COVID-19 infection was investigated. METHODS: Observational cohort study. Clinical data were collected retrospectively from the complete medical records for each patient individually from March 1st 2020 to May 16th 2020. RESULTS: A total of 723 patients were diagnosed with COVID-19 and 1161 with non-COVID-19 disease. The prevalence of OSA did not differ between these groups (n = 49; 6.8% versus n = 66; 5.7%; p = 0.230). In patients with COVID-19, mortality was increased in the group of 49 patients with OSA (n = 17; 34.7%) compared to 674 COVID-19 patients without OSA (n = 143; 21.2%; p = 0.028). This increased risk of mortality in COVID-19 patients with OSA (OR = 2.590; 95%CI 1.218-5.507) was independent from Body Mass Index (BMI), male gender, age, diabetes, cardiovascular disease, and obstructive lung disease. Presence of OSA in COVID-19 disease was further associated with an increased length of hospital stay (12.6 ± 15.7 days versus 9.6 ± 9.9 days; p = 0.049). CONCLUSION: The prevalence of OSA did not differ between patients with or without COVID-19, but mortality and hospital length of stay were increased in patients with OSA and comorbid COVID-19. Hence, OSA should be included in COVID-19 risk factor analyses, Clinicians should be aware of the association and the mechanism should be further explored.

Microvascular dysfunction as a link between obesity, insulin resistance and hypertension.

Impaired microvascular dilatation from any cause and impaired insulin-mediated capillary recruitment in particular result in suboptimal delivery of glucose and insulin to skeletal muscle, and subsequently impairment of glucose disposal (insulin resistance). In addition, microvascular dysfunction, through functional and/or structural arteriolar and capillary drop-out, and arteriolar constriction, increases peripheral resistance and thus blood pressure. Microvascular dysfunction may thus constitute a pathway that links insulin resistance and hypertension. Overweight and obesity may be an important cause of microvascular dysfunction. Mechanisms linking overweight and obesity to microvascular dysfunction include changes in the secretion of adipokines leading to increased levels of free fatty acids and inflammatory mediators, and decreased levels of adiponectin all of which may impair endothelial insulin signaling. Microvascular dysfunction may thus constitute a new treatment target in the prevention of type 2 diabetes mellitus and hypertension.

Semi-automatic assessment of skin capillary density: proof of principle and validation.

BACKGROUND: Skin capillary density and recruitment have been proven to be relevant measures of microvascular function. Unfortunately, the assessment of skin capillary density from movie files is very time-consuming, since this is done manually. This impedes the use of this technique in large-scale studies. We aimed to develop a (semi-) automated assessment of skin capillary density. METHODS: CapiAna (Capillary Analysis) is a newly developed semi-automatic image analysis application. The technique involves four steps: 1) movement correction, 2) selection of the frame range and positioning of the region of interest (ROI), 3) automatic detection of capillaries, and 4) manual correction of detected capillaries. To gain insight into the performance of the technique, skin capillary density was measured in twenty participants (ten women; mean age 56.2 [42-72] years). To investigate the agreement between CapiAna and the classic manual counting procedure, we used weighted Deming regression and Bland-Altman analyses. In addition, intra- and inter-observer coefficients of variation (CVs), and differences in analysis time were assessed. RESULTS: We found a good agreement between CapiAna and the classic manual method, with a Pearson's correlation coefficient (r) of 0.95 (P<0.001) and a Deming regression coefficient of 1.01 (95%CI: 0.91; 1.10). In addition, we found no significant differences between the two methods, with an intercept of the Deming regression of 1.75 (-6.04; 9.54), while the Bland-Altman analysis showed a mean difference (bias) of 2.0 (-13.5; 18.4) capillaries/mm(2). The intra- and inter-observer CVs of CapiAna were 2.5% and 5.6% respectively, while for the classic manual counting procedure these were 3.2% and 7.2%, respectively. Finally, the analysis time for CapiAna ranged between 25 and 35min versus 80 and 95min for the manual counting procedure. CONCLUSION: We have developed a semi-automatic image analysis application (CapiAna) for the assessment of skin capillary density, which agrees well with the classic manual counting procedure, is time-saving, and has a better reproducibility as compared to the classic manual counting procedure. As a result, the use of skin capillaroscopy is feasible in large-scale studies, which importantly extends the possibilities to perform microcirculation research in humans.