A comparative analysis of pairwise image stitching techniques for microscopy images.

Stitching of microscopic images is a technique used to combine multiple overlapping images (tiles) from biological samples with a limited field of view and high resolution to create a whole slide image. Image stitching involves two main steps: pairwise registration and global alignment. Most of the computational load and the accuracy of the stitching algorithm depend on the pairwise registration method. Therefore, choosing an efficient, accurate, robust, and fast pairwise registration method is crucial in the whole slide imaging technique. This paper presents a detailed comparative analysis of different pairwise registration techniques in terms of execution time and quality. These techniques included feature-based methods such as Harris, Shi-Thomasi, FAST, ORB, BRISK, SURF, SIFT, KAZE, MSER, and deep learning-based SuperPoint features. Additionally, region-based methods were analyzed, which were based on the normalized cross-correlation (NCC) and the combination of phase correlation and NCC. Investigations have been conducted on microscopy images from different modalities such as bright-field, phase-contrast, and fluorescence. The feature-based methods were highly robust to uneven illumination in tiles. Moreover, some features were found to be more accurate and faster than region-based methods, with the SURF features identified as the most effective technique. This study provides valuable insights into the selection of the most efficient and accurate pairwise registration method for creating whole slide images, which is essential for the advancement of computational pathology and biology.

Effects and safety of resveratrol supplementation in older adults: A comprehensive systematic review.

Resveratrol (RSV) has garnered significant attention in recent years due to its potential benefits against chronic diseases. However, its effects and safety in older adults have not been comprehensively studied. This study aimed to determine the effects and safety of RSV supplementation in older adults. MEDLINE/PubMed, Scopus, and Web of Science databases were comprehensively searched for eligible studies. Studies were enrolled if they were randomized clinical trials and had incorporated RSV supplementation for older adults. Two independent authors conducted the literature search, and eligibility was determined according to the PICOS framework. Study details, intervention specifics, and relevant outcomes were collected during the data collection. The Cochrane RoB-2 tool was used to evaluate the risk of bias. This review included 10 studies. The combination of RSV and exercise improved exercise adaptation and muscle function in healthy older adults and physical performance and mobility measures in individuals with functional limitations. RSV showed potential neuroprotective effects in patients with Alzheimer's disease. In overweight individuals, RSV demonstrated a positive impact on cognitive function, but it increased some biomarkers of cardiovascular disease risk at high doses. In older adults with diabetes and those with peripheral artery disease (PAD), RSV was not more effective than placebo. No study reported significant adverse events following RSV treatment. RSV can improve various health parameters in age-related health conditions. However, the optimal dosage, long-term effects, and potential interactions with medications still need to be investigated through well-designed RCTs.

Immunoregulatory effects of nanocurcumin in inflammatory milieu: Focus on COVID-19.

The use of natural compounds, such as curcumin, to treat infections caused by bacteria, viruses, fungi, parasites, inflammatory diseases, and various types of cancer is an active and dynamic area of research. Curcumin has a long history of use in the food industry, and there is currently a growing interest in its therapeutic applications. Numerous clinical trials have consistently shown that curcumin, a polyphenolic compound, is safe and well-tolerated even at high doses. There is no toxicity limit. However, the clinical efficacy of curcumin has been limited by its constraints. However, scientific evidence indicates that the use of adjuvants and carriers, such as nanoparticles, exosomes, micelles, and liposomes, can help overcome this limitation. The properties, functions, and human benefits of using nanocurcumin are well-supported by scientific research. Recent evidence suggests that nanocurcumin may be a beneficial therapeutic modality due to its potential to decrease gene expression and secretion of specific inflammatory biomarkers involved in the cytokinestorm seen in severe COVID-19, as well as increase lymphocyte counts. Nanocurcumin has demonstrated the ability to improve clinical manifestations and modulate immune response and inflammation in various autoinflammatory diseases. Additionally, its efficacy, affordability, and safety make it a promising replacement for residual cancer cells after tumor removal. However, further studies are necessary to evaluate the safety and efficacy of nanocurcumin as a new therapeutic in clinical trials, including appropriate dosage, frequency, and duration.

NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation.

Chronic Obstructive Pulmonary Disease (COPD) frequently coincides with other comorbidities such as congestive heart failure, hypertension, coronary artery disease, or atrial fibrillation. The exhibition of overlapping sets of symptoms associated with these conditions prevents early identification of an acute exacerbation upon admission to a hospital. Early identification of the underlying cause of exacerbation allows timely prescription of an optimal treatment plan as well as allows avoiding unnecessary clinical tests and specialist consultations. The aim of this study was to develop a predictive model for early identification of COPD exacerbation by using the clinical notes generated within 24 hours of admission to the hospital. The study cohort included patients with a prior diagnosis of COPD. Four predictive models have been developed, among which the support vector machine showed the best performance based on the resulting 80% F1 score.

Correlates of normal and decreased HDL cholesterol levels in type 2 diabetes: a cohort-based cross-sectional study.

BACKGROUND: The literature describes an inverse association between the values of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C). This survey was designed to exhibit the features of people with type 2 diabetes (T2D) who display this inverse association and identify potential contributing factors to having normal HDL-C values. METHODS: A total of 6127 persons with T2D were assigned to the present survey. Demographic features and clinical status data were compared between subjects with a substantial inverse association of TG and HDL-C and those without. Logistic regressions were performed to ascertain the role of different factors related to normal HDL-C. Moreover, the restricted cubic spline (RCS) functions were conducted to scrutinize the underlying relationships between the studied variables and low HDL-C levels. RESULTS: Patients with high TG (150 ≤ TG < 400) compared to patients with normal TG (TG < 150) were less likely to have normal HDL-C. Younger age, narrow hip, lower levels of blood pressure, two-hour postprandial glucose (2hPP), fasting blood sugar (FBS), hemoglobinA1C (HbA1C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, and non-HDL-C, higher atherogenic index of plasma (AIP), and TG/HDL-C ratio correlate with an inverse connection between the values of HDL-C and TG (all P < 0.05). Age greater than 65 years (odds ratio (OR) 1.260, 95% confidence intervals (CI) 1.124-1.413) had a positive association, whereas female sex (OR 0.467, CI 0.416-0.523) , 25 kg/m2 < body mass index (BMI) (OR 0.786, CI 0.691-0.894), and higher serum creatinine levels (OR 0.481, CI 0.372-0.621) had an inverse association with having normal HDL-C. CONCLUSIONS: Patients with an inverse connection between TG and HDL-C values had considerably different anthropometric features, lipid profiles, and glucose indices compared to those without this relationship. Furthermore, patients who aged less than 65 years, had female gender, BMI more than 25 kg/m2, and higher serum creatinine levels were less likely to exhibit normal HDL-C levels.

New Insights into the Long Non-coding RNAs Dependent Modulation of Heart Failure and Cardiac Hypertrophy: From Molecular Function to Diagnosis and Treatment.

Heart failure (HF) is a public health issue that imposes high costs on healthcare systems. Despite the significant advances in therapies and prevention of HF, it remains a leading cause of morbidity and mortality worldwide. The current clinical diagnostic or prognostic biomarkers, as well as therapeutic strategies, have some limitations. Genetic and epigenetic factors have been identified to be central to the pathogenesis of HF. Therefore, they might provide promising novel diagnostic and therapeutic approaches for HF. Long non-coding RNAs (lncRNAs) belong to a group of RNAs that are produced by RNA polymerase II. These molecules play an important role in the functioning of different cell biological processes, such as transcription and regulation of gene expression. LncRNAs can affect different signaling pathways by targeting biological molecules or a variety of different cellular mechanisms. The alteration in their expression has been reported in different types of cardiovascular diseases, including HF, supporting the theory that they are important in the development and progression of heart diseases. Therefore, these molecules can be introduced as diagnostic, prognostic, and therapeutic biomarkers in HF. In this review, we summarize different lncRNAs as diagnostic, prognostic, and therapeutic biomarkers in HF. Moreover, we highlight various molecular mechanisms dysregulated by different lncRNAs in HF.

Pharmacotechnical aspects of a stable probiotic formulation toward multidrug-resistance antibacterial activity: design and quality control.

As a well-known group of the probiotic family, the Lactobacillus has increasingly contributed to hindering the growth of pathogens, particularly resistant species, in the last decades. Since antibiotic resistance has become a severe problem in global healthcare systems and considerably increased the mortality and morbidity rate in infectious diseases, we aimed to obtain a new stable formulation of Lactobacillus to overcome resistant infections. For this purpose, we designed various gel formulations containing Lactobacillus rhamnosus (L. rhamnosus) as an active pharmaceutical ingredient (API) in a water base and oil base gel, evaluated the probiotic stability in formulation to obtain an optimum formulation, and finally, investigated the antibacterial activities of that against two common hospital-associated multidrug-resistant pathogens, methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE). Furthermore, the pharmaceutical aspects of the optimum formulation, including stability, homogeneity, spreadability, pH value, conductivity, and rheological behavior, were assessed.The results indicated that the optimum formulation based on glycerol exhibited desirable pharmaceutical properties, including long-term stability, a perfect level of homogeneity, an acceptable range of spreadability with pseudo-plastic thixotropic behavior, and a promising antibacterial potential against MRSA and VRE. Our findings indicate that this novel probiotic formulation could be an excellent candidate to cope with antibiotic-resistant species, representing a hopeful treatment potential for topical applications, particularly in incurable infections. However, further in vivo studies seem warranted to evaluate their bactericidal activity against multi-drug resistant microorganisms.

Ciprofloxacin antibiotic removal from aqueous solutions by ZnO nanoparticles coated on ACA: modeling and optimization.

Antibiotics are one of the most widely used drug groups. The presence of antibiotics in urban water sources and sewage creates many environmental and medical risks for humans and other living organisms. In this study, the potential of zinc oxide (ZnO) coated on almond shell activated carbon (ACA-ZnO) in removing ciprofloxacin (CIP) from aqueous solutions was investigated. Almond shell was used to make activated carbon. Zinc oxide nanoparticles were prepared by the sol-gel method, and finally, ZnO nanoparticles were bonded to activated carbon. The effect of independent parameters pH, contact time, adsorbent dose, and initial CIP concentration on CIP removal efficiency using ACA-ZnO was investigated by response surface methodology. Optimal removal was obtained at pH = 5.4, CIP initial concentration = 7.4 mg/L, adsorbent dose = 0.82 g/L, and reaction time = 67.3 min. This study followed a quadratic model (R2 = 0.958). The best model of adsorption isotherm fits with the Freundlich model (R2 = 0.9972) and the maximum capacity was 251.42 mg/g adsorption kinetics, and pseudo-second-order kinetic model (R2 = 0.959). The results of this study showed that ACA-ZnO as an adsorbent is very efficient, without environmental side effect and cost-benefit.

The lack of association between different LDL-C levels and oxidized LDL in patients with type 2 diabetes.

Background: High concentrations of low-density lipoprotein cholesterol (LDL-C) have been a known risk factor for cardiovascular diseases. Also, the role of oxidized LDL (ox-LDL) in forming atherosclerosis plaque has been proven. However, it has not yet been proven that atherogenic LDL-C by-products like ox-LDL will decrease by keeping the LDL levels at the desired level. This study aimed to examine the relationship between LDL-C and ox-LDL in different LDL-C values in patients with type 2 diabetes (T2D). Methods: In this cross-sectional study, 347 patients with T2D who received statins were enrolled. LDL-C values were defined into four groups as LDL-C < 55 mg/dL, 55 mg/dL ≤ to <70 mg/dL, 70 mg/dL ≤ to <100 mg/dL and LDL-C ≥ 100 mg/dL. Total cholesterol, triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and ox-LDL were studied in the four defined groups. Results: Ox-LDL levels were not different among the four groups (p = 0.30). In addition, LDL-C and ox-LDL levels had no significant correlation (r = 0.480, p = 0.376). Additionally, based on this study analysis, ox-LDL levels were significantly correlated with TG levels (r = 0.119, p < 0.05) and TG/HDL ratio (r = 0.390, p < 0.01). Conclusions: It is concluded that ox-LDL levels were not associated with different LDL-C level categories from <55 mg/dL to >100 mg/dL in patients with T2D. However, the revealed association of ox-LDL with TG level and TG/HDL ratio may be considered in the clinic.

Decreasing trend of blood lipid profile in type 2 diabetes: Not a promising change in HDL-C, a serial cross-sectional study.

BACKGROUND: The prevalence of dyslipidemia in patients with type 2 diabetes (T2D) has been reported to be relatively high. The current study aimed to investigate the trend of serum lipid levels and the prevalence of dyslipidemia in patients with T2D. METHODS: Data were extracted from a cohort of patients with T2D who had regular follow-ups every year for three years. TG, TC, LDL-C, HDL-C, and non-HDL-C were analyzed. The atherogenic index of plasma (AIP) was calculated using log (TG/HDL-C). RESULTS: A total of 747 patients with T2D were included in this study, consisting of 469 (62.8%) women and 278 (37.2%) men. There was a significant downward trend in mean TG, TC, LDL-C, non-HDL-C, and AIP levels. The trend of mean HDL-C levels showed no significant change. The prevalence of high TG, high TC, high LDL-C, and high non-HDL-C significantly decreased from the first to the last visit. There was no significant change in the trend of prevalence of low HDL-C. The prevalence of high AIP significantly decreased in women and showed no significant changes in men. CONCLUSIONS: A decreasing trend was observed in the mean levels and prevalence of TG, TC, LDL-C, non-HDL-C, and AIP. HDL-C did not change significantly. The success rate in achieving a complete normal lipid profile during follow-up years was not promising and continues to be challenging.

Bilateral inferior petrosal sinus sampling: validity, diagnostic accuracy in lateralization of pituitary microadenoma, and treatment in eleven patients with Cushing's syndrome - a single-center retrospective cohort study.

BACKGROUND: This single-center retrospective cohort study aimed to describe the findings and validity of Bilateral inferior petrosal sinus sampling (BIPSS) in the differential diagnosis of patients with ACTH-dependent Cushing's syndrome (CS). METHODS: Eleven patients underwent BIPSS due to equivocal biochemical tests and imaging results. Blood samples were taken from the right inferior petrosal sinus (IPS), left IPS, and a peripheral vein before and after stimulation with desmopressin (DDAVP). ACTH and prolactin levels were measured. The diagnosis was based on the ACTH ratio between the IPS and the peripheral vein. Also, lateralization of pituitary adenoma in patients with Cushing's disease (CD) was predicted. No significant complications were observed with BIPSS. RESULTS: Based on the pathology report, eight patients had CD, and three had ectopic ACTH syndrome (EAS). Unstimulated BIPSS resulted in a sensitivity of 87.5%, specificity of 100%, PPV of 100%, NPV of 75%, and accuracy of 91%. Stimulated BIPSS resulted in a sensitivity of 100%, specificity of 100%, PPV of 100%, NPV of 100%, and accuracy of 100%. However, pituitary magnetic resonance imaging (MRI) had a lower diagnostic accuracy (sensitivity:62.5%, specificity:33%, PPV:71%, NPV:25%, accuracy:54%). BIPSS accurately demonstrated pituitary adenoma lateralization in 75% of patients with CD. CONCLUSIONS: This study suggests that BIPSS may be a reliable and low-complication technique in evaluating patients with ACTH-dependent CS who had inconclusive imaging and biochemical test results. The diagnostic accuracy is improved by DDAVP stimulation. Pituitary adenoma lateralization can be predicted with the aid of BIPSS.

Vitamin C supplementation lowers advanced glycation end products (AGEs) and malondialdehyde (MDA) in patients with type 2 diabetes: A randomized, double-blind, placebo-controlled clinical trial.

This study evaluated how daily vitamin C administration impacts systemic oxidative stress and inflammation and its safety in T2D patients. This randomized, double-blinded, placebo-controlled, parallel-arm clinical trial included 70 patients with T2D. They were allocated to receive either 500 mg/day of vitamin C or a matching placebo for 8 weeks. Of the 70 subjects assigned to the trial, 57 were included in the statistical analysis (vitamin C: n = 32, placebo: n = 25). Inflammatory and oxidative markers, including advanced glycation end products (AGEs), malondialdehyde (MDA), advanced oxidation protein products (AOPP), oxidized low-density lipoprotein (ox-LDL), highly sensitive C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), and ferric reducing ability of plasma (FRAP) were measured at baseline and the end of the trial. In addition, vitamin C tolerance was evaluated. A nutritionist visited all participants for a standard diabetic regimen. Following vitamin C supplementation, the serum levels of MDA (p-value < .001) and AGEs (p-value = .002) demonstrated a significant decrease after controlling for multiple confounders, including age, blood pressure, waist circumference, HbA1C, TG, and LDL-C, while no significant changes were observed for AOPP (p-value = .234) and ox-LDL (p-value = .480). The FRAP showed an increasing trend as an antioxidant marker but was not statistically significant (p-value = .312). The hs-CRP and TNF-α had no significant changes (p-value: .899 and .454, respectively). Also, no major adverse events were observed. Vitamin C supplementation may be beneficial in reducing AGEs and MDA in patients with T2D.

Lipid profile, ox-LDL, and LCAT activity in patients with endometrial carcinoma and type 2 diabetes: The effect of concurrent disease based on a case-control study.

Background and Aim: The role of lecithin: cholesterol acyltransferase (LCAT) and oxidized low-density lipoprotein (ox-LDL) in endometrial cancer (EC) or EC with concurrent type 2 diabetes is still unclear. This study investigated the LCAT activity, ox-LDL, and lipid profile in EC patients with or without type 2 diabetes and compared them with healthy individuals and patients with type 2 diabetes alone. Methods: In this cross-sectional, case-control study, 93 female participants were recruited. The participants were divided into four groups, including EC with type 2 diabetes (n = 19), EC without type 2 diabetes (n = 17), type 2 diabetes (n = 31), and healthy controls (n = 26). Sociodemographic information, the LCAT activity, triglyceride (TG), total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and ox-LDL levels were collected. One-way analysis of variance and analysis of covariance, Student's t-test, Mann-Whitney U-test, and χ 2-test were used to compare demographic features and laboratory results among studied groups. Regression analyses were also performed to evaluate the interaction effect between EC and type 2 diabetes on serum LCAT activity. Results: The LCAT activity was significantly lower, and ox-LDL levels were significantly higher in all patient groups compared to the healthy controls (p < 0.001). EC patients had significantly lower LCAT activity and higher ox-LDL levels than type 2 diabetes and healthy groups (p < 0.05). Higher levels of TG and lower levels of HDL-C were observed in all patient groups compared to the healthy group (all p < 0.001). Patients with EC and concomitant type 2 diabetes had significantly lower serum LDL-C levels than healthy and type 2 diabetes groups (p < 0.05). Conclusions: The combination of EC and type 2 diabetes had a subadditive effect on LCAT activity and ox-LDL level. The lowest LCAT activity and the highest ox-LDL levels were observed in patients with EC and concurrent type 2 diabetes.

Effects of acupressure on intestinal function in patients with coronary artery bypass graft surgery: a randomized clinical trial.

Aim: This study aimed to determine the effects of acupressure on the intestinal function of patients undergoing Coronary Artery Bypass Graft (CABG) surgery. Background: Studies indicated that cardiovascular patients are prone to constipation. Acupressure is one of the therapeutic and palliative approaches that can be used by doctors, nurses, and even patients themselves. Methods: The present three-group randomized clinical trial study was conducted on 90 patients undergoing CABG surgery. In the intervention group, 48 hours after surgery the patients received acupressure points LI4 and ST25 twice a day (10 am and 6 pm) for three sequential days. In the sham group, the patients received acupressure at a 1.5 cm distance from the LI4-ST25 points, and the patients in the control group received only the usual care. This research used a demographic and medical information questionnaire, Rome IV scale, Bristol stool scale, symptom registration checklist, and daily excretion assessment checklist. The intestinal function indices were completed 24 hours after surgery (before intervention), 48, 72, 96, and 120 hours after surgery. Results: All three intervention, sham, and control groups were without defecation in 24 hours (before intervention) and 48 hours after surgery. There was a significant difference between the three intervention, sham, and control groups in the number of stools after 72 hours, 96 hours, and 120 hours after the intervention (p<0.001). Also, a significant difference was observed among the three groups in terms of stool consistency 96 hours after the start of the intervention (p=0.032) and 120 hours after the start of the intervention (p<0.001). Conclusion: The results showed that patients had a significant improvement in the number of bowel movements and stool consistency in the intervention group. In acute conditions, acupressure on LI4-ST25 points can positively affect intestinal function when patients are hospitalized in the intensive care unit.

Transcatheter closure of a ruptured sinus of valsalva: a systematic review of the literature.

Background: Ruptured sinus of Valsalva (RSOV) is a rare pathology, and current data regarding its symptoms, anatomy, associated pathologies, and appropriate therapeutic approaches are scarce. Transcatheter closure (TCC) has been performed in multiple cases; however, the information on its success rate and complications is limited. Methods: Two independent reviewers performed an advanced search based on inclusion criteria on Scopus, PubMed, and Embase from January 1985 through July 2022. The main search terms were "Sinus of Valsalva", "Rupture/Aneurysm", and "Transcatheter/Catheter/Device". Results: Totally, 1,017 relevant articles from the 3 databases were retrieved. After the final review and appraisal, 94 articles describing 407 patients who underwent the TCC of RSOV were included. Males comprised 65% of the studied patients, and the average age was 34.5 years. The total success rate of TCC was 95.6%. Forty-nine patients (12%) developed complications, the most significant of which were sustained residual shunts in 7 patients (1.7%), substantial new onset or progression of aortic insufficiency in 6 (1.5%), and RSOV recurrence in 6 (1.5%). Post-interventional mortality was reported in only 2 patients (0.5%). Conclusions: The present study is the first systematic review of available data regarding the TCC of RSOV principally comprising case series and case reports. Although TCC seems a good option, precise patient selection is mandatory.

Reducing the assemblies of amyloid-beta multimers by sodium dodecyl sulfate surfactant at concentrations lower than critical micelle concentration: molecular dynamics simulation exploration.

Amyloid-ß peptide, the predominant proteinaceous component of senile plaques, is responsible for the incidence of Alzheimer's disease (AD), an age-associated neurodegenerative disorder. Specifically, the amyloid-ß(1-42) (Aß1-42) isoform, known for its high toxicity, is the predominant biomarker for the preliminary diagnosis of AD. The aggregation of the Aß1-42 peptides can be affected by the components of the cellular medium through changing their structures and molecular interactions. In this study, we investigated the effect of sodium dodecyl sulfate (SDS) at much lower concentrations than the critical micelle concentration (CMC) on Aß1-42 aggregation. For this purpose, we studied mono-, di-, tri- and tetramers of Aß1-42 peptide in two different concentrations of SDS molecules (10 and 40 molecules) using a 300 ns molecular dynamics simulation for each system. The distance between the center of mass (COM) of Aß1-42 peptides confirms that an increase in the number of SDS molecules decreases their aggregation probability due to greater interaction with SDS molecules. Besides, the less compactness parameter reveals the reduced aggregation probability of Aß1-42 peptides. Based on the energetic FEL landscapes, SDS molecules with the concentration closer to the CMC are an effective inhibitory agent to prevent the formation of Aß1-42 fibrils. Also, the aggregation direction of the peptide pairs can be predicted by determining the direction of the accumulation-deterrent forces.Communicated by Ramaswamy H. Sarma.

SARS-CoV-2 infection and increasing autoimmune disorders among ICU-hospitalized COVID-19 patients.

INTRODUCTION: In acute conditions, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes multi-organ damage due to the induction of inappropriate immune responses, particularly lung tissue fibrosis. To evaluate the consequence of the deterioration of the immune system, autoimmune markers were assessed. METHODS: In a case-control study, 108 patients with coronavirus disease 2019 (COVID-19) were admitted to the intensive care unit (ICU), and 158 outpatients with mild clinical symptoms, with SARS-CoV-2 reverse transcription quantitative polymerase chain reaction (RT-qPCR) positive tests, were included for comparison. The demographic and hematologic variables and presence of the main autoantibodies in sera of 40 eligible ICU-hospitalized COVID-19 patients and 40 COVID-19 outpatients were assessed. Out of 108 COVID-19 ICU-hospitalized patients, 40 were selected as the control group (40/158) who had no underlying diseases before hospitalization, according to their self-declaration and clinical records at the time of admission. RESULTS: The results demonstrated that the main complete blood count indices, such as red blood cells and platelets, decreased dramatically in ICU-hospitalized patients. Furthermore, the autoantibody profiles were positive in 45% and 15% of ICU-admitted patients for antinuclear antibodies and antineutrophilic cytoplasmic autoantibodies, respectively. In ICU patients, anti-PM/Scl 100 or AMA-M2 was 33%. Anti SS-A, anti-SS-B, anti-Ro-52, and anti-Jo-1 in 11.5% for each one were reactive. Other autoantibodies of the ICU group were as follows: CENP (5.6%), Rib-protein (5.6%), and nucleosome (5.6%). However, only two individuals in the control group had positive results for SS-A and SS-B (5%). CONCLUSION: Induction of such particular autoantibodies by the virus can justify the multi-organ involvement and severity of the disease in ICU patients, which may also cause other organ involvement in the long term.

Correlation between different levels and patterns of dyslipidemia and glomerular filtration rate in patients with type 2 diabetes: A cross-sectional survey of a regional cohort.

BACKGROUND: Due to the high cardiovascular risk in patients with diabetic nephropathy, more attention should be paid to lipid levels and dyslipidemia in these patients. The current study investigated the association between single and mixed dyslipidemia patterns, estimated glomerular filtration rate (eGFR), and different chronic kidney disease (CKD) stages. METHODS: This cross-sectional study evaluated 4059 patients with type 2 diabetes (T2D). TG, TC, LDL-C, and HDL-C were measured. Non-HDL-C and AIP were calculated. We estimated eGFR using the CKD-EPI equation. RESULTS: With the progression of the kidney failure stage, mean levels of TG, LDL-C, non-HDL-C, and AIP decreased. HDL-C levels decreased with the advance of the CKD stage in men but did not change significantly in women. The prevalence of single dyslipidemia, including high LDL-C and high non-HDL-C, decreased with the advancing CKD stage. The prevalence of mixed dyslipidemia patterns, including high AIP and high LDL-C, high AIP and high non-HDL-C, showed a significant downward tendency. TG and AIP levels were negatively, and HDL-C levels were positively correlated with eGFR after adjusting for the risk factors. Also, CKD stage 3 was positively related to the risk of high TG and low HDL-C. CONCLUSION: This study shows that blood lipids decreased with the progression of renal failure in patients with T2D. However, after adjustment, TG and AIP levels had negative, and HDL-C levels had a positive correlation with eGFR, which could be consistent with the hypothesis that eGFR decreases with increasing TG or AIP levels or decreasing HDL-C levels.

Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.

Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which makes its early identification challenging. Timely identification of the underlying condition that caused acute admission of COPD patients in the emergency room (ER) may improve patient care and reduce care costs. This study aims to use machine learning combined with natural language processing (NLP) of ER notes to facilitate differential diagnosis in COPD patients admitted to ER. Using unstructured patient information extracted from the notes documented at the very first hours of admission to the hospital, four machine learning models were developed and tested. The random forest model demonstrated the best performance with F1 score of 93%.

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program.

Opioid addiction is a serious public health problem in the US, and this study aimed to explore how natural language processing (NLP) can be used to identify factors that contribute to distress in individuals with opioid addiction, and then use this information along with structured data to predict the outcome of opioid treatment programs (OTP). The study analyzed medical records data and clinical notes of 1,364 patients, out of which 136 succeeded in the program and 1,228 failed. The results showed that several factors influenced the success of patients in the program, including sex, race, education, employment, secondary substance, tobacco use, and type of residences. XGBoost with down sampling was the best model. The accuracy of the model was 0.71 and the AUC score was 0.64. The study highlights the importance of using both structured and unstructured data to evaluate the effectiveness of OTP.