Diagnostic Value of Procalcitonin and Interleukin-6 on Early Postoperative Pneumonia after Adult Cardiac Surgery: A Prospective Observational Study

Background: Postoperative pneumonia (PP) is the most common primary infection after cardiac surgery, increasing the hospitalization expense and causing the consumption of healthcare resources. This study aimed to investigate the diagnostic value of procalcitonin (PCT) and interleukin-6 (IL-6) on early postoperative pneumonia after adult cardiac surgery. Methods: In this prospective observational study, patients with pneumonia and age- and sex-matched cases in our center from October 10, 2020 to January 31, 2021 were included. Patients diagnosed with pneumonia in this study needed meet both clinical and microbiological diagnostic criteria. Blood samples were collected in all patients from postoperative day (POD) 1 to postoperative day 5 to detect PCT, IL-6, white blood cell count, and C-reactive protein. The diagnostic performance of different biomarkers was evaluated by the receiver operating characteristic curves and the area under the curves. Results: Our study enrolled 272 patients, including 24 patients with postoperative pneumonia and 248 age- and sex-matched cases. From POD1 to POD5, the absolute value of PCT and PCT variations showed diagnostic significance for pneumonia (P < .05); the diagnostic value of the absolute value of IL-6 and IL-6 variations was not satisfying. White blood cell count showed no differences; C-reactive protein had no diagnostic value before POD4. Multivariable logistic regression showed that PCT variation and IL-6 variation from POD3 to POD1 were the strongest risk factors for postoperative pneumonia [OR:12.50, 95% CI: (3.40-45.5); OR:13.71, 95% CI: (1.11-168.47)]. According to the above results, we defined the PL Index. PL Index showed the best diagnostic value among those biomarkers in POD3 [AUC: 0.90, 95% CI: (0.79-0.95)]. Multivariable logistic regression showed PL Index POD3 has significant correlation with postoperative pneumonia [OR:1.23, 95% CI: (1.11-1.37), P = .041]. Conclusions: PCT variation and IL-6 were more accurate than C-reactive protein and white blood cell count to predict early postoperative pneumonia, but the diagnostic properties of PCT could not be observed during the first three postoperative days due to the inflammatory process. By combining the variations of PCT and IL-6, we defined the PL Index, which shows the best diagnostic ability on early postoperative pneumonia after adult cardiac surgery.

Features on Computed Tomography That Correlate With Acute Appendicitis

Background: The purpose of this study is to investigate the relevant findings in adult patients admitted to Cabell Huntington Hospital who were diagnosed with acute appendicitis. Methods: Patients who had the postoperative diagnosis of acute appendicitis and a preoperative computed tomography (CT) scan from January 2011 through December 2016 were included in this retrospective chart review. Results: There were 592 patients. A thick, edematous appendix was the most common CT finding in acute appendicitis. The average diameter was 12.6 mm. The wall thickness correlated to the diameter of the appendix ( P < 0.001). For comparison, we reviewed the CT scans of 50 trauma patients who had normal abdominal CT scans. The average diameter of a normal appendix was 4.9 mm (SD 1.139) with a range of 4-7 mm. Interestingly, the admission white blood cell count ( P = 0.0372) as well as the thickness of the appendix ( P < 0.0001) were strongly associated with increased length of stay. Conclusions: An appendiceal diameter greater than 9 mm should be considered abnormal and associated with acute appendicitis. Appendiceal size, white blood cell count, and age correlate with length of stay. Early antibiotics and early surgical intervention may decrease length of stay.

Deep Learning Model for the Automatic Classification of White Blood Cells

Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is utilized. These blood cell images are subjected to various data analyzing techniques that count and classify the different types of blood cells. Nowadays, deep learning-based methods are in practice to analyze the data. These methods are less time-consuming and require less sophisticated equipment. This paper implements a deep learning (D.L) model that uses the DenseNet121 model to classify the different types of white blood cells (WBC). The DenseNet121 model is optimized with the preprocessing techniques of normalization and data augmentation. This model yielded an accuracy of 98.84%, a precision of 99.33%, a sensitivity of 98.85%, and a specificity of 99.61%. The proposed model is simulated with four batch sizes (BS) along with the Adam optimizer and 10 epochs. It is concluded from the results that the DenseNet121 model has outperformed with batch size 8 as compared to other batch sizes. The dataset has been taken from the Kaggle having 12,444 images with the images of 3120 eosinophils, 3103 lymphocytes, 3098 monocytes, and 3123 neutrophils. With such results, these models could be utilized for developing clinically useful solutions that are able to detect WBC in blood cell images.

What is the role of inflammatory markers in predicting spontaneous ureteral stone passage?

Purpose: To investigate the role of inflammatory markers in predicting the spontaneous passage of ureteral stones. Methods: We retrospectively reviewed 279 patients with ureteral stones sized 4–10 mm that were managed conservatively. The patients were divided into two groups: Group 1 consisted of 137 patients who passed the stone spontaneously; Group 2 comprised 142 patients without spontaneous stone passage. The groups were compared using the Mann-Whitney U and chi-square tests. In addition, univariate and multivariate analyses were performed to identify the significance of the parameters. Results: The mean age of the patients was 41.2 years. The patients in Group 1 had a significantly lower mean stone size, white blood cell count and neutrophil count. In addition, stone location, presence of hydronephrosis and history of urolithiasis were significantly different between the groups. Neutrophil percentage, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio were insignificantly lower in Group 1. In a multivariate analysis, stone size, distal location and hydronephrosis status significantly predicted the spontaneous stone passage. However, inflammatory markers including white blood cell count, neutrophil count and neutrophil-to-lymphocyte ratio could not determine the likelihood of spontaneous stone passage. Conclusion: Our results suggest that inflammatory markers are no meaningful parameters for the prediction of spontaneous stone passage.

Adjusted association between type 2 immunity and low risk thyroid nodules: a retrospective cohort study

Background Immune responses, especially type 2 immunity, might be related to the prevalence of thyroid nodules, while the key regulators and potential pathways are remaining largely unknown. In addition, the immune status of individuals could be affected by mixed metabolic background. Herein our aim was to investigate the adjusted association between ultrasound-diagnosed low risk thyroid nodules and immune responses, excluding the interference of metabolic effects on immunity. Methods We retrospectively enrolled 1764 subjects who underwent a thorough thyroid ultrasound examination. To eliminate the interference of confounders, we used propensity score matching (PSM) to match age, gender, cigarette smoking and alcohol drinking, parameters that are related with metabolic syndrome (MetS). Then the potential effectors of immune responses involved in the laboratorial assays were evaluated. Binary logistic regression analysis was used to assess the independent predictors of thyroid nodules in a multivariate manner. Results The 1172 subjects were remained after PSM, and differences of demographic background between subjects with and without thyroid nodules were eliminated. Metabolic parameters comprising blood pressure, fasting blood glucose, total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein and serum uric acid were shown no significant difference between post-PSM subjects with and without thyroid nodules. Among the biochemistry and hematological parameters, white blood cell count and the positive rate of eosinophil percentage were increased in subjects with thyroid nodules than in those without thyroid nodules. In contrast, the positive rate of basophil percentage was lower in subjects with thyroid nodules than in those without thyroid nodules. In addition, the thyroid function test results showed that subjects with thyroid nodules had higher positive rates of antithyroglobulin antibody (TgAb) and antithyroid peroxidase antibody (TPOAb) than subjects without thyroid nodules. The logistic regression analysis indicated that the positive value of TgAb as well as high level of white blood cell count and BMI could serve as independent risk factors of thyroid nodules. Conclusions The type 2 immune responses mediated by increased level of eosinophils, along with positive value of TgAb and TPOAb were associated with the presence of thyroid nodules. In addition, the potential role of basophils in protecting against thyroid nodules and the pathogenesis of immune-metabolic status remains to be elucidated.

Predictors for symptomatic intracranial hemorrhage after intravenous thrombolysis with acute ischemic stroke within 6 h in northern China: a multicenter, retrospective study

Background and purpose This study assessed the predictive factors for symptomatic intracranial hemorrhage (sICH) in patients with acute ischemic stroke (AIS) after receiving intravenous thrombolysis (IVT) within 6 h in northern China. Methods We retrospectively analyzed ischemic stroke patients who were treated with IVT between November 2016 and December 2018 in 19 hospitals in Shandong Province, China. Potential predictors of sICH were investigated using univariate and multivariate analyses. Results Of the 1293 enrolled patients (845 men, aged 62 ± 11 years), 33 (2.6%) developed sICH. The patients with sICH had increased coronary heart disease (36.4% vs. 13.7%, P = 0.001), more severe stroke (mean National Institutes of Health Stroke Scale [NIHSS] score on admission of 14 vs.7, P < 0.001), longer door-to-needle time [DNT] (66 min vs. 50 min, P < 0.001), higher blood glucose on admission, higher white blood cell counts (9000/mm3 vs. 7950/mm3, P = 0.004) and higher neutrophils ratios (73.4% vs. 67.2%, P = 0.006) et al. According to the results of multivariate analysis, the frequency of sICH was independently associated with the NIHSS score (OR = 3.38; 95%CI [1.50–7.63]; P = 0.003), DNT (OR = 4.52; 95%CI [1.69–12.12]; P = 0.003), and white blood cell count (OR = 3.59; 95%CI [1.50–8.61]; P = 0.004). When these three predictive factors were aggregated, compared with participants without any factors, the multi-adjusted odds ratios (95% confidence intervals) of sICH for persons concurrently having one, two or three of these factors were 2.28 (0.25–20.74), 15.37 (1.96–120.90) and 29.05 (3.13–270.11), respectively (P for linear trend < 0.001), compared with participants without any factors. Conclusion NIHSS scores higher than 10 on admission, a DNT > 50 min, and a white blood cell count ≥9000/mm3 were independent risk factors for sICH in Chinese patients within 6 h after IVT for AIS.

Clinical prediction rule for bacteremia with pyelonephritis and hospitalization judgment: chi-square automatic interaction detector (CHAID) decision tree analysis model

Objective This study was performed to identify predictive factors for bacteremia among patients with pyelonephritis using a chi-square automatic interaction detector (CHAID) decision tree analysis model. Methods This retrospective cross-sectional survey was performed at Juntendo University Nerima Hospital, Tokyo, Japan and included all patients with pyelonephritis from whom blood cultures were taken. At the time of blood culture sample collection, clinical information was extracted from the patients’ medical charts, including vital signs, symptoms, laboratory data, and culture results. Factors potentially predictive of bacteremia among patients with pyelonephritis were analyzed using Student’s t-test or the chi-square test and the CHAID decision tree analysis model. Results In total, 198 patients (60 (30.3%) men, 138 (69.7%) women; mean age, 74.69 ± 15.27 years) were included in this study, of whom 92 (46.4%) had positive blood culture results. The CHAID decision tree analysis revealed that patients with a white blood cell count of >21,000/μL had a very high risk (89.5%) of developing bacteremia. Patients with a white blood cell count of ≤21,000/μL plus chills plus an aspartate aminotransferase concentration of >19 IU/L constituted the high-risk group (69.0%). Conclusion The present results are extremely useful for predicting the results of bacteremia among patients with pyelonephritis.

Complete Blood Count Peculiarities in Pregnant SARS-CoV-2-Infected Patients at Term: A Cohort Study

Background: During viral outbreaks, pregnancy poses an increased risk of infection for women. Methods: In a prospective study, all patients admitted for delivery at term to Elena Doamna Obstetrics and Gynecology University Hospital in Iasi, Romania, between 1 April 2020 and 31 December 2020 were included. There were 457 patients, divided into two groups: group 1, SARS-CoV-2-positive patients (n = 46) and group 2, SARS-CoV-2-negative patients (n = 411). Among other tests, complete blood count was determined upon admittance, and the following values were studied: white blood cell count, lymphocytes, neutrophils, red blood cell count, hemoglobin, mean corpuscular hemoglobin concentration, mean corpuscular hemoglobin, mean corpuscular volume, red blood cell distribution width, hematocrit, platelet count, mean platelet volume, platelet distribution width, plateletcrit, and platelet large cell ratio. Results: in pregnant SARS-CoV-2-infected patients at term, there was a significant decrease in white blood cell, neutrophil, and lymphocyte count, and an increase in mean corpuscular hemoglobin concentration, compared to healthy pregnant women at term, although all still within normal limits. None of the other components of the complete blood count or fetal outcomes studied was significantly influenced by SARS-CoV-2 infection in pregnant patients at term.

POTENTIAL APPLICATIONS OF DIETARY Moringa oleifera LEAVES AS GROWTH MODULATOR AND IMMUNOSTIMULANT AGAINST Aeromonas hydrophila FOR FARMED Oreochromis niloticus

Herbal medicine, including moringa (Moringa oleifera), is widely used as dietary supplementation to enhance growth performance and increase disease resistance in aquaculture. This study aimed to investigate the effects of supplementing moringa leaves on growth performance, hematology and disease resistance of nile tilapia (Oreochromis niloticus) against Aeromonas hydrophila. Fish (38.05 ± 0.83 g) were fed with a commercial feed supplemented by moringa leaves at 0%, 15%, 20%, and 25%, ad libitum, twice a day for eight weeks. Results revealed that 15% moringa leaves supplemented diet gave the highest weight gain, while the specific growth rate was statistically significantly different (p<0.05) among the treatments. Fish fed with 25% supplementation had the highest total red blood cell count and total white blood cell count. All experimental groups had higher values of red blood cells and white blood cells than the control group. The challenge test with A. hydrophila showed that the fish fed with the 25% moringa leaves supplementation diet had the highest relative percentage survival rate. There were no significant differences among the treatment groups. However, the treatment groups had a statistically significant difference with the control group (p<0.05). Results of the present study indicated that supplementation of 15% moringa leaves in diet gave optimal growth performance, while supplementation of 25% moringa leaves in the diet showed the best results in terms of the health of nile tilapia. Moringa leaves supplemented in nile tilapia diet enhanced growth performance and increased disease resistance against A. hydrophila.