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Nevin Manimala Statistics

Relationship between Body Mass Index and Serum Alanine Transaminase Concentration in Obese Female

Mymensingh Med J. 2022 Jul;31(3):600-605.

ABSTRACT

The serum Alanine Transaminase (ALT) activity has been regarded as a reliable and sensitive marker of liver disease. In the context of obesity ALT may also be a good indicator of overall health. Obesity has been reported as a risk factor associated with elevation of ALT, which is a surrogate marker of Non-alcoholic fatty liver disease (NAFLD). Elevated ALT may correlate with the severity of NAFLD in obese female. This study was done to evaluate the changes of serum ALT in obese female age ranged 30-60 years in comparison to normal healthy female of same age. At the same time we can know the relationship between body mass index and serum ALT concentration in obese female. This analytical cross-sectional study was carried out in the Department of Physiology, Mymensingh Medical College, Mymensingh, Bangladesh from January 2020 to December 2020. A total number of 100 female subjects were included in this study. Among them fifty (50) normal healthy female were taken as control group (Group I) and fifty (50) obese female were taken as study group (Group II). The level of serum ALT was determined by Ultra violet (UV) method. Data were expressed as mean±SD and statistical significance of difference among the group was calculated by unpaired Student’s ‘t’ test. Pearson’s correlation coefficient test was done to find the correlation of serum ALT with BMI by using SPSS (version 21.0). During interpretation of results, p values of <0.001 were considered as statistically highly significant. In this study, serum level of ALT was significantly higher (p<0.001) in obese female compared to those of healthy control female. In addition, there is a positive correlation of serum ALT with BMI. From the results of the present study, it can be concluded that, elevated ALT was significantly associated with high BMI as well as with other feature of NAFLD.

PMID:35780339

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Admission Plasma Glucose as In-Hospital Outcome Predictor in First Attack of Non-ST Segment Elevation Myocardial Infarction in Non Diabetic Patient

Mymensingh Med J. 2022 Jul;31(3):592-599.

ABSTRACT

Coronary artery disease is the leading cause of death and disability globally. The presentation of Non-ST segment elevation myocardial infarction (NSTEMI) is heterogeneous, with different risk levels in terms of death, infarction and recurrence of infarction. Current evidence suggests that plasma glucose level or hyperglycemia is a mediator of worse prognosis of MI. The objective of the study was to correlate on admission plasma glucose level in non-diabetic patient with in-hospital outcome of patients after first attack of NSTEMI. This prospective analytical study was conducted among purposively selected 280 patients with NSTEMI admitted in coronary care unit of Mymensingh Medical College Hospital during the period of June 2016 to May 2017. Data were collected from the informant by face to face interview, clinical examination and investigations using a pretested semi-structured case record form. Data were analyzed by SPSS. Patients were categorized into two groups; Group A: NSTEMI with admission plasma glucose level below 7.8mmol/l, (n=150, Male-110, Female-40). Group B: NSTEMI with admission plasma glucose level ≥7.8mmol/l, (n=130, Male-95, Female-35). Group B (n=130) is divided into two subgroups. Subgroup-I: NSTEMI with Hyperglycemia (7.8-9.3mmol/l), n = 67 (male 44, female 23), Subgroup-II: NSTEMI with Hyperglycemia (≥9.4mmol/l), n = 63 (male 51, female 12). All Patients were non diabetic excluded by HbA₁c. The mean left ventricular ejection fraction (LVEF) of Group B, Subgroup-II was significantly less than that of Subgroup-I (p<0.05). Correlation between LVEF levels and on admission plasma glucose level showed statistically significant moderate negative correlation, suggesting that the higher was the level of on admission plasma glucose level; the lower was the LV ejection fraction level in first attack of NSTEMI patients. Correlation coefficient between Troponin-I and plasma glucose level on admission of the study population (r=0.030) suggesting that the higher was the level of admission plasma glucose level the higher was the Troponin-I level in first attack of NSTEMI patients. The more was the plasma glucose level, less was LVEF, more was the heart failure and prolonged hospital stay. The study showed a strong predictor of adverse in-hospital outcome in the various levels of plasma glucose and NSTEMI. There was association between the concentration of the plasma glucose and the extent, severity of disease in the means of mean LVEF, the rate of heart failure and duration of hospital stay. The importance of this finding is even clear that RBS is a standard, valuable diagnostic tool for evaluation of severity and prediction of outcome of patients with NSTEMI.

PMID:35780338

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Study of Serum Troponin-I Level in Non-diabetic Hyperglycemic ST Elevation Myocardial Infarction Patients

Mymensingh Med J. 2022 Jul;31(3):581-585.

ABSTRACT

The most common cause of premature death in developing countries like Bangladesh is ischaemic heart disease. Cardiac troponin-I (cTnI) is 100 percent tissue specific for the myocardium which has been shown to be a very sensitive and specific biomarker for acute myocardial infarction. As acute myocardial infarction is a stressful condition so, plasma glucose level may also increase in this condition which is stress hyperglycemia and also plasma glucose level may be used for prediction of outcome as it is a cheap and easy available test. The aim of the study is to investigate the impact of the elevation of troponin-I level with plasma glucose level of non-diabetic patients in ST-elevation myocardial infarction. This study which was comparative type of analytical and cross- sectional study carried out in the Department of Physiology, Mymensingh Medical College, Mymensingh, Bangladesh from January 2021 to December 2021. Data was collected from Cardiology Department of Mymensingh Medical College Hospital, Mymensingh. A total number of 70 subjects participated in this study and were grouped as normoglycemic ST elevation myocardial infarction- Control group (Group I) and non-diabetic hyperglycemic ST elevation myocardial infarction- Study group (Group II). The results were calculated and analyzed by using SPSS. Serum troponin-I was measured by Fluorescence Immunoassay (FIA) and plasma glucose estimated by GOD-PAP method. Data were expressed in mean±SD and statistical significance of difference among the groups were calculated by unpaired Student’s ‘t’ test. The correlation between different parameter was done by Pearson’s correlation coefficient test. In this study, the result suggests that there is significant positive association between serum troponin-I and plasma glucose level in study group (hyperglycemic non-diabetic STEMI) in comparison to control group (normoglycemic STEMI). So, by this study we recommend that routine estimation of these parameters is important for prevention of complications related to acute myocardial infarction.

PMID:35780336

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Exploring the exposure prevalence of women living in Garmsar to intimate partner violence and identifying its affecting factors in 2019

J Inj Violence Res. 2022 Jul 3;14(3). doi: 10.5249/jivr.v14i3.1693. Online ahead of print.

ABSTRACT

BACKGROUND: Intimate partner violence (IPV) is the most common type of domestic violence often used by men against their wives. Due to the destructive and widespread social and health consequences of IPV, the present study aimed to investigate the prevalence and related factors of IPV among married women in Garmsar, Iran.

METHODS: Using multi-stage clusters sampling method, this cross-sectional study included 400 married women in Garmsar, Iran. The data collection process was conducted during October and December 2019 using a researcher-made questionnaire. The content validity of the questionnaire was confirmed using content validity ratio (CVR) and content validity index (CVI) indicators (0.85 and 0.88, respectively). Also, the reliability was confirmed by examining the internal consistency and obtaining a score of 0.93 for Cronbach’s alpha. Descriptive and analytical statistics were performed using t-test, analysis of variance (ANOVA), and Tukey’s post-hoc test.

RESULTS: Most participants were in the age range of 20-40 years (mean age: 34.9 years). The overall exposure of women to IPV was 56.11%. In addition, the most prevalent types of IPV included legal (24%), social (24%), financial (22%), verbal (16%), physical (13%), emotional (12%), and sexual (11%). The effective factors on the prevalence of IPV included number of children, education level, occupation, and age (P less than 0.05).

CONCLUSIONS: We witnessed that women living in Garmsar faced different types of IPV and their overall exposure to this phenomenon was higher than the national and global average. To resolve the problem, the following measurements are recommended: a careful investigation of the reasons for the spread of IPV, implementing interventions based on reliable evidence, and serious cooperation of the experts and relevant governmental and non-governmental institutions, particularly citizens.

PMID:35780333 | DOI:10.5249/jivr.v14i3.1693

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What are the socioeconomic determinants of mental disorders?

Perspect Psychiatr Care. 2022 Jul 3. doi: 10.1111/ppc.13136. Online ahead of print.

ABSTRACT

PURPOSE: This study examines the influence of socioeconomic factors on the prevalence of depression and anxiety and on the number of years lived with disability (YLD) of depression and anxiety.

DESIGN AND METHODS: This is an exploratory study. The study analyzed data from 160 member countries of the World Health Organization (WHO).

FINDINGS: Except for alcohol consumption and unemployment rate, Gini coefficient, age dependency, rural population, and population aged 65 and above have statistically significant effects on both depression and anxiety prevalence. Also, Gini coefficient and rural population have significant effects on YLD of depression and anxiety.

PRACTICE IMPLICATIONS: The study results will allow psychiatrists, psychologists, and other mental health professionals to focus on policy reforms that address the social determinants of mental health.

PMID:35780329 | DOI:10.1111/ppc.13136

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Semiprone thoracoscopic approach during totally minimally invasive Ivor-Lewis esophagectomy seems to be beneficial

Dis Esophagus. 2022 Jul 3:doac044. doi: 10.1093/dote/doac044. Online ahead of print.

ABSTRACT

Minimally invasive Ivor-Lewis Esophagectomy (MIE) is widely accepted as a surgical treatment of resectable esophageal cancer. Aim of this paper is to describe the surgical details of our standardized MIE technique and its safety. We also evaluate the esophageal mobilization in semiprone compared to the left lateral position. A retrospective analysis of 141 consecutive patients who underwent Ivor-Lewis esophagectomy for cancer, from February 2016 to September 2021, was conducted. All the procedures were performed by totally thoraco-laparoscopic with an intrathoracic end-to-side circular stapled anastomosis. Thoracic phase was performed in left lateral position (LLP-group, n=47) followed by a semiprone position (SP-group, n=94). The intraoperative and postoperative outcomes were prospectively collected and analyzed. The procedure was completed without intraoperative complication in 94.68% of cases in SP-group and in 93.62% of cases in LLP-group (P=0.99). The total operative time and thoracic operative time were significantly shorter in SP-group (P=0.0096; P=0.009). No statistically significant differences were detected in postoperative outcomes between the groups, except for anastomotic strictures (higher in LLP-group, P=0.02) and intensive care unit stay (longer in LLP-group, P=00.1). No reoperation was needed in any cases. Surgical radicality was comparable; the median of harvested lymph nodes was significantly higher in SP-group (P<0.0001). The present semiprone technique of thoraco-laparoscopic Ivor-Lewis esophagectomy is safe and feasible but may also provide some advantages in terms of lymph nodes harvested and total operation time.

PMID:35780319 | DOI:10.1093/dote/doac044

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Nevin Manimala Statistics

Ultra-high dose rate pencil beam scanning proton dosimetry using ion chambers and a calorimeter in support of first in-human flash clinical trial

Med Phys. 2022 Jul 2. doi: 10.1002/mp.15844. Online ahead of print.

ABSTRACT

PURPOSE: To provide ultra-high dose rate pencil beam scanning proton dosimetry comparison of clinically used plane-parallel ion chambers, PTW Advanced Markus and IBA PPC05, with a proton graphite calorimeter in support of first in-human proton FLASH clinical trial.

METHODS: Absolute dose measurement intercomparison of the plane-parallel plate ion chambers and the proton graphite calorimeter was performed at 5 cm water equivalent depth using rectangular 250 MeV single layer treatment plans designed for the first in-human FLASH clinical trial. The dose rate for each field was designed to remain above 60 Gy/s. The ion recombination effects of the plane-parallel plate ion chambers at various bias voltages were also investigated in the range of dose rates between 5 – 60 Gy/s. Two independent model-based extrapolation methods were used to calculate the ion recombination correction factors ks to compare with the two-voltage technique from most widely used clinical protocols.

RESULTS: The mean measured dose to water with the proton graphite calorimeter across all the pre-defined fields is 7.702 ± 0.037 Gy. The average ratio over the pre-defined fields of the PTW Advanced Markus chamber dose to the calorimeter reference dose is 1.002 ± 0.007 while the IBA PPC05 chamber shows ∼3% higher reading of 1.033 ± 0.007. The relative difference in the ks values determined from between the linear and quadratic extrapolation methods and the two-voltage technique for the PTW Advanced Markus chamber are not statistically significant and the trends of dose rate dependence are similar. The IBA PPC05 shows a flat response in terms of ion recombination effects based on the ks values calculated using the two-voltage technique. Differences in ks values for the PPC05 between the two-voltage technique and other model-based extrapolation methods are not statistically significant at FLASH dose rates. Some of the ks values for the PPC05 that were extrapolated from the three-voltage linear method and the semi-empirical model were reported less than unity possibly due to the charge multiplication effect, which was negligible compared to the volume recombination effect in FLASH dose rates.

CONCLUSIONS: The absolute dose measurements of both PTW Advanced Markus and IBA PPC05 chambers are in a good agreement with the NPL graphite calorimeter reference dose considering overall uncertainties. Both ion chambers also demonstrate good reproducibility as well as stability as refence dosimeters in ultra-high dose rate pencil beam scanning proton radiotherapy. The dose rate dependency of the ion recombination effects of both ion chambers in cyclotron generated PBS proton beams is acceptable and therefore, both chambers are suitable to use in clinical practice for the range of dose rates between 5 – 60 Gy/s. This article is protected by copyright. All rights reserved.

PMID:35780318 | DOI:10.1002/mp.15844

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Postoperative tegafur-uracil for stage I lung adenocarcinoma: first real-world data with an exploratory subgroup analysis

Surg Today. 2022 Jul 2. doi: 10.1007/s00595-022-02546-z. Online ahead of print.

ABSTRACT

PURPOSE: The effect of postoperative tegafur-uracil on overall survival (OS) after resection of stage I adenocarcinoma has been shown in clinical trials. The purpose of this study was to investigate whether findings from randomized trials of adjuvant tegafur-uracil are reproducible in a real-world setting.

METHODS: A retrospective cohort study was performed using a multi-institutional database that included all patients who underwent complete resection of pathological stage I adenocarcinoma between 2014 and 2016. Survival outcomes for patients managed with and without tegafur-uracil were analyzed using the Kaplan-Meier method and a Cox proportional hazards model for the whole patient cohort and in a selected cohort based on eligibility criteria of a previous randomized trial. Propensity score matching was used to adjust for confounding effects.

RESULTS: After propensity score matching, the hazard ratios for OS were 0.57 (95% confidence interval (CI) 0.29-1.14, P = 0.11) in the whole cohort and 0.69 (95% CI 0.32-1.50, P = 0.35) in the selected cohort.

CONCLUSIONS: The effects of tegafur-uracil in this retrospective study appear to be consistent with those found in randomized clinical trials. These effects may be maximized in patients aged from 45 to 75 years.

PMID:35780275 | DOI:10.1007/s00595-022-02546-z

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The Use of a Network Analysis to Identify Associations and Temporal Patterns Among Non-communicable Diseases in Japan Based on a Large Medical Claims Database

Drugs Real World Outcomes. 2022 Jul 2. doi: 10.1007/s40801-022-00310-w. Online ahead of print.

ABSTRACT

BACKGROUND: Reducing the considerable non-communicable disease (NCD) burden in the aging Japanese population depends on better understanding of the comorbid and temporal relationships between different NCDs.

OBJECTIVE: We aimed to identify associations between NCDs and temporal patterns of NCDs in Japan using data from a large medical claims database.

METHODS: The study used three-digit International Classification of Diseases, Tenth Revision codes for NCDs for employees and their dependents included in the MinaCare database, which covers the period since 2010. Associations between pairs of NCDs were assessed by calculating risk ratios. The calculated risk ratios were used to create a network of closely associated NCDs (risk ratio > 15, statistically significant) and to assess temporal patterns of NCD diagnoses (risk ratio ≥ 5). The Infomap algorithm was used to identify clusters of diseases for different sex and age strata.

RESULTS: The analysis included 4,200,254 individuals (age < 65 years: 98%). Many of the temporal associations and patterns of the diseases of interest identified in this study were previously known. Regarding the diseases of interest, these associations can be classified as comorbidities, early manifestations initially diagnosed as something else, diseases attributable to or that cause the disease of interest, or caused by pharmacological treatment. International Classification of Diseases, Tenth Revision chapters that were most associated with other chapters included L Diseases of the skin and subcutaneous tissue. In the age-stratified and gender-stratified networks, clusters with the highest numbers of International Classification of Diseases, Tenth Revision codes included I Diseases of the circulatory system and F Mental and behavioral disorders.

CONCLUSIONS: Our findings reinforce established associations between NCDs and underline the importance of comprehensive NCD care.

PMID:35780274 | DOI:10.1007/s40801-022-00310-w

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Machine learning-based time series models for effective CO2 emission prediction in India

Environ Sci Pollut Res Int. 2022 Jul 2. doi: 10.1007/s11356-022-21723-8. Online ahead of print.

ABSTRACT

China, India, and the USA are the countries with the highest energy consumption and CO2 emissions globally. As per the report of datacommons.org , CO2 emission in India is 1.80 metric tons per capita, which is harmful to living beings, so this paper presents India’s detrimental CO2 emission effect with the prediction of CO2 emission for the next 10 years based on univariate time-series data from 1980 to 2019. We have used three statistical models; autoregressive-integrated moving average (ARIMA) model, seasonal autoregressive-integrated moving average with exogenous factors (SARIMAX) model, and the Holt-Winters model, two machine learning models, i.e., linear regression and random forest model and a deep learning-based long short-term memory (LSTM) model. This paper brings together a variety of models and allows us to work on data prediction. The performance analysis shows that LSTM, SARIMAX, and Holt-Winters are the three most accurate models among the six models based on nine performance metrics. Results conclude that LSTM is the best model for CO2 emission prediction with the 3.101% MAPE value, 60.635 RMSE value, 28.898 MedAE value, and along with other performance metrics. A comparative study also concludes the same. Therefore, the deep learning-based LSTM model is suggested as one of the most appropriate models for CO2 emission prediction.

PMID:35780266 | DOI:10.1007/s11356-022-21723-8