Tag: nevin manimala

Invest Ophthalmol Vis Sci. 2023 Sep 1;64(12):5. doi: 10.1167/iovs.64.12.5.

ABSTRACT

PURPOSE: To determine the pointwise relationships of central visual field (VF) defects with macular ganglion cell loss and macular vessel density (VD) loss during various stages of glaucoma.

METHODS: Eyes with primary open-angle glaucoma (POAG) were subjected to optical coherence tomography (OCT) and OCT angiography (OCTA) to evaluate macular ganglion cell layer (GCL) thickness and macular VD in the superficial and deep vascular complexes (SVC and DVC). OCT, OCTA, and VF locations were matched after correcting for retinal ganglion cell (RGC) displacement. Pointwise correlations of GCL thickness and VDs of the SVC and DVC with central VF sensitivity (VFS) were evaluated by Pearson’s correlation analysis and compared in eyes with early and advanced POAG by Meng’s test.

RESULTS: Of the 100 eyes, 52 and 48 were classified as early and advanced POAG. Macular VD showed overall better correlation with central VFS than GCL thickness in both the early and advanced groups. SVC density showed the strongest correlation with central VFS in all groups (R = 0.327 in early group, R = 0.325 in advanced group, all P < 0.001). Although DVC density showed better correlation with VFS (R = 0.311) than GCL thickness (R = 0.212) in the early group (P < 0.001), the correlation was comparable in the advanced group (R = 0.199 and 0.176, respectively, P = 0.254).

CONCLUSIONS: After adjustment for RGC displacement, macular SVC density was better correlated with central VFS than macular GCL thickness in both early and advanced POAG. Macular DVC density showed better correlation with VFS than GCL thickness in early but not in advanced POAG, indicating that DVC loss may be involved in early central VF loss.

PMID:37669065 | DOI:10.1167/iovs.64.12.5

JAMA Intern Med. 2023 Sep 5. doi: 10.1001/jamainternmed.2023.4291. Online ahead of print.

ABSTRACT

IMPORTANCE: Although oral temperature is commonly assessed in medical examinations, the range of usual or “normal” temperature is poorly defined.

OBJECTIVE: To determine normal oral temperature ranges by age, sex, height, weight, and time of day.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used clinical visit information from the divisions of Internal Medicine and Family Medicine in a single large medical care system. All adult outpatient encounters that included temperature measurements from April 28, 2008, through June 4, 2017, were eligible for inclusion. The LIMIT (Laboratory Information Mining for Individualized Thresholds) filtering algorithm was applied to iteratively remove encounters with primary diagnoses overrepresented in the tails of the temperature distribution, leaving only those diagnoses unrelated to temperature. Mixed-effects modeling was applied to the remaining temperature measurements to identify independent factors associated with normal oral temperature and to generate individualized normal temperature ranges. Data were analyzed from July 5, 2017, to June 23, 2023.

EXPOSURES: Primary diagnoses and medications, age, sex, height, weight, time of day, and month, abstracted from each outpatient encounter.

MAIN OUTCOMES AND MEASURES: Normal temperature ranges by age, sex, height, weight, and time of day.

RESULTS: Of 618 306 patient encounters, 35.92% were removed by LIMIT because they included diagnoses or medications that fell disproportionately in the tails of the temperature distribution. The encounters removed due to overrepresentation in the upper tail were primarily linked to infectious diseases (76.81% of all removed encounters); type 2 diabetes was the only diagnosis removed for overrepresentation in the lower tail (15.71% of all removed encounters). The 396 195 encounters included in the analysis set consisted of 126 705 patients (57.35% women; mean [SD] age, 52.7 [15.9] years). Prior to running LIMIT, the mean (SD) overall oral temperature was 36.71 °C (0.43 °C); following LIMIT, the mean (SD) temperature was 36.64 °C (0.35 °C). Using mixed-effects modeling, age, sex, height, weight, and time of day accounted for 6.86% (overall) and up to 25.52% (per patient) of the observed variability in temperature. Mean normal oral temperature did not reach 37 °C for any subgroup; the upper 99th percentile ranged from 36.81 °C (a tall man with underweight aged 80 years at 8:00 am) to 37.88 °C (a short woman with obesity aged 20 years at 2:00 pm).

CONCLUSIONS AND RELEVANCE: The findings of this cross-sectional study suggest that normal oral temperature varies in an expected manner based on sex, age, height, weight, and time of day, allowing individualized normal temperature ranges to be established. The clinical significance of a value outside of the usual range is an area for future study.

PMID:37669046 | DOI:10.1001/jamainternmed.2023.4291

Viral Immunol. 2023 Sep 5. doi: 10.1089/vim.2023.0057. Online ahead of print.

ABSTRACT

Vitamin D exerts its antiviral effect through vitamin D receptor (VDR)/retinoid X receptor-mediated host immunomodulation. Besides the downregulation of VDR expression, its polymorphism was also observed among hepatitis B virus (HBV)-positive patients. To understand the possible link between VDR polymorphism and its altered expression during HBV infection and disease progression, VDR Apa-I [rs7975232 (C>A)] single nucleotide polymorphism (SNP) was analyzed in a case-control manner. VDR Apa-I (rs7975232, C>A) polymorphism was studied using 340 HBV patients and 102 healthy controls. Genotype analysis and gene expression study was performed using restriction fragment length polymorphism and quantitative polymerase chain reaction, respectively. Statistical analysis was performed using SPSS (IBM) considering p-value <0.05 as significant for comparing the differences between the groups. Significant mean difference in VDR expression was observed between HBV-positive patients (1.6 ± 0.94) and controls (0.69 ± 0.73). Furthermore, the mean fold change of Healthy control with CC genotype (1.92 ± 0.99) was found to be marginally significant compared with mutant genotype (CA/AA) (1.08 ± 0.43/0.59 ± 0.56, p = 0.045). In HBV+ patients, the mean fold change in the CC genotype was 0.88 ± 0.38, which exhibits a significant mean difference upon comparison with other genotypes (0.52 ± 0.49, 0.113 ± 0.34; p = 0.018, p = 0.048). However, the fold change value does not differ between CA and AA genotypes. Further comparative analysis of VDR expression between the control and case also exhibits significant differences (p = 0.001) among allelic variants. Observed genotype distribution frequency exhibits a significant association with disease type. The mutant genotype was found to be significantly associated with HBV infection and disease progression, (odds ratio = 0.730, 95% confidence interval = 0.462-1.152, p = 0.06). VDR SNP rs7975232 (C>A) may affect VDR expression by controlling several other variables and suggest that deviation from wild-type genotype (CC) is associated with downregulation of expression, which in turn involved in host immunomodulation in favor of HBV infection and disease progression.

PMID:37669039 | DOI:10.1089/vim.2023.0057

JAMA Pediatr. 2023 Sep 5. doi: 10.1001/jamapediatrics.2023.3487. Online ahead of print.

ABSTRACT

IMPORTANCE: Inequalities in preterm infant mortality exist between population subgroups within the United States.

OBJECTIVE: To characterize trends in preterm infant mortality by maternal race and socioeconomic status to assess how inequalities in preterm mortality rates have changed over time.

DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective longitudinal descriptive study using the US National Center for Health Statistics birth infant/death data set for 12 256 303 preterm infant births over 26 years, between 1995 and 2020. Data were analyzed from December 2022 to March 2023.

EXPOSURES: Maternal characteristics including race, smoking status, educational attainment, antenatal care, and insurance status were used as reported on an infant’s US birth certificate.

MAIN OUTCOMES AND MEASURES: Preterm infant mortality rate was calculated for each year from 1995 to 2020 for all subgroups, with a trend regression coefficient calculated to describe the rate of change in preterm mortality.

RESULTS: The average US preterm infant mortality rate (IMR) decreased from 33.71 (95% CI, 33.71 to 34.04) per 1000 preterm births per year between 1995-1997, to 23.32 (95% CI, 23.05 to 23.58) between 2018-2020. Black non-Hispanic infants were more likely to die following preterm births than White non-Hispanic infants (IMR, 31.09; 95% CI, 30.44 to 31.74, vs 21.81; 95% CI, 21.43 to 22.18, in 2018-2020); however, once born, extremely prematurely Black and Hispanic infants had a narrow survival advantage (IMR rate ratio, 0.87; 95% CI, 0.84 to 0.91, in 2018-2020). The rate of decrease in preterm IMR was higher in Black infants (-0.015) than in White (-0.013) and Hispanic infants (-0.010); however, the relative risk of preterm IMR among Black infants compared with White infants remained the same between 1995-1997 vs 2018-2020 (relative risk, 1.40; 95% CI, 1.38 to 1.44, vs 1.43; 95% CI, 1.39 to 1.46). The rate of decrease in preterm IMR was higher in nonsmokers compared with smokers (-0.015 vs -0.010, respectively), in those with high levels of education compared with those with intermediate or low (-0.016 vs – 0.010 or -0.011, respectively), and in those who had received adequate antenatal care compared with those who did not (-0.014 vs -0.012 for intermediate and -0.013 for inadequate antenatal care). Over time, the relative risk of preterm mortality widened within each of these subgroups.

CONCLUSIONS AND RELEVANCE: This study found that between 1995 and 2020, US preterm infant mortality improved among all categories of prematurity. Inequalities in preterm infant mortality based on maternal race and ethnicity have remained constant while socioeconomic disparities have widened over time.

PMID:37669025 | DOI:10.1001/jamapediatrics.2023.3487

Oncologist. 2023 Sep 5:oyad253. doi: 10.1093/oncolo/oyad253. Online ahead of print.

ABSTRACT

BACKGROUND: Few studies examine how patients with advanced cancer cope with stress. The objective of our study was to evaluate coping strategies adopted by patients with cancer and their relationship with symptom burden.

METHODS: A secondary data analysis of a prospective cross-sectional survey of patients with cancer and tobacco use was conducted, which examined demographics, symptom burden (Edmonton Symptom Assessment System), and coping strategies (the Brief COPE Questionnaire). Demographic characteristics were summarized by standard summary statistics; we also examined associations between patient characteristics and coping strategies using t-test, rank-sum test, chi-squared test, or Fisher’s exact test depending on the distribution of data.

RESULTS: Among 399 patients, the majority were female (60%), Caucasian (70%), the mean age was 56.5 (±12.0) years, and the most common malignancies were gastrointestinal (21%) and breast (19%). Patients with cancer adopted multiple adaptive coping strategies, most frequently acceptance (86.7%) and emotional support (79.9%), with humor (18.5%) being the least. Common maladaptive strategies included venting (14.5%) and self-distraction (36.6%), while substance use (1.0%) was infrequently reported. Of the adaptive strategies, female gender was significantly associated with higher engagement with emotional and instrumental support, positive reframing, religious coping, and acceptance (P < .05 for all). College educated patients reported significantly higher implementation of humor, planning, and acceptance. Maladaptive coping strategies such as denial were associated with increased pain and depression, while patients adopting emotional-focused strategies rated decreased emotional distress.

CONCLUSIONS: The majority of patients with advanced cancer reported adopting multiple, adaptive coping strategies, and a minority utilized maladaptive or avoidant strategies, rarely substance use, and may need additional psychological support.

PMID:37669020 | DOI:10.1093/oncolo/oyad253

J Womens Health (Larchmt). 2023 Sep 5. doi: 10.1089/jwh.2022.0497. Online ahead of print.

ABSTRACT

Background: Polycystic ovary syndrome (PCOS) management has hardly been standardized until recent years. There is an accurate, evidence-based guideline published by the European Society of Human Reproduction and Embryology (ESHRE). However, it remains unclear to which extent, if at all, the guideline is followed by health care providers. The aim was to explore the subjectively perceived quality of gynecological medical care in women with PCOS suffering from aesthetic complaints. Materials and Methods: A nonvalidated questionnaire was constructed in a standardized manner covering the domains: aesthetic aspects, metabolism, menstrual cycle, reproduction, mental health, and prevention of chronic noncommunicable diseases. Results: A total of 1960 participants with aesthetic complaints, such as acne (66.2%), alopecia (43.9%), hirsutism (77.9%), or overweight/obesity (72.3%) were included. The percentage of women being counseled was low (acne 20.3%, alopecia 12.9%, hirsutism 17.5%, overweight/obesity 36.2%). Satisfaction with counseling was moderate (40.4-44.1 points). Many women tried at least one therapeutic method (75.9%), whereas only a few were counseled for therapy (acne 27.0%, alopecia 24.6%, hirsutism 24.0%, overweight/obesity 18.8%) with moderate satisfaction for hyperandrogenism (mean 55.1-59.5 points) and good satisfaction for overweight/obesity (mean 60.8 points). Overall satisfaction was rated with a mean of 30.5 points (standard deviation 27.1) on a scale from 0 to 100 and thus considered “not satisfied.” Fewer complaints were significantly correlated with higher satisfaction. Most women wished for more counseling (80.8%), as well as more diagnostic (63.2%) and therapeutic options (70.2%). Conclusions: Women affected by PCOS are not properly managed according to the ESHRE guideline. Indeed, this guideline recommends comprehensive history and physical examination for clinical hyperandrogenism as well as holistic approaches in therapy, including education and counseling of patients. Still, overall consultation rates and satisfaction were poor.

PMID:37669004 | DOI:10.1089/jwh.2022.0497

Big Data. 2023 Sep 4. doi: 10.1089/big.2022.0086. Online ahead of print.

ABSTRACT

Over the years, many studies have been carried out to reduce and eliminate the effects of diseases on human health. Gene expression data sets play a critical role in diagnosing and treating diseases. These data sets consist of thousands of genes and a small number of sample sizes. This situation creates the curse of dimensionality and it becomes problematic to analyze such data sets. One of the most effective strategies to solve this problem is feature selection methods. Feature selection is a preprocessing step to improve classification performance by selecting the most relevant and informative features while increasing the accuracy of classification. In this article, we propose a new statistically based filter method for the feature selection approach named Effective Range-based Feature Selection Algorithm (FSAER). As an extension of the previous Effective Range based Gene Selection (ERGS) and Improved Feature Selection based on Effective Range (IFSER) algorithms, our novel method includes the advantages of both methods while taking into account the disjoint area. To illustrate the efficacy of the proposed algorithm, the experiments have been conducted on six benchmark gene expression data sets. The results of the FSAER and the other filter methods have been compared in terms of classification accuracies to demonstrate the effectiveness of the proposed method. For classification methods, support vector machines, naive Bayes classifier, and k-nearest neighbor algorithms have been used.

PMID:37668992 | DOI:10.1089/big.2022.0086

Telemed J E Health. 2023 Sep 4. doi: 10.1089/tmj.2023.0189. Online ahead of print.

ABSTRACT

Abstract Introduction: This study aimed to develop a scale to assess attitudes toward the use of telemedicine services, to study the reliability and validity of the developed scale, and to determine the characteristics that may be associated with the scores obtained from the scale. Methods: This study, which was conducted with 600 people older than 18 years, who applied to Family Health Centers in Meram district of Konya province, was designed in a methodological type. The sociodemographic characteristics form and the candidate scale form designed in a 5-point Likert structure were used to collect data in the study. The data collection forms were applied to the participants under observation. SPSS and R programs were used for data analysis. Statistically, cases with p < 0.05 were considered significant. Results: Two hundred fifty people (n = 250) for reliability and explanatory factor analysis and 350 people for confirmatory factor analysis, 600 people in total, were included in the study. The results of all reliability and validity analyses of the candidate scale were found to be sufficient. The explained variance of the one-dimensional 18-item scale was 53.8% and the Cronbach’s alpha coefficient was 0.947. There was a significant difference between the score obtained from the scale and work status and presence of chronic disease (p < 0.05). Conclusion: As a result of the research, a new measurement tool called “Attitude Scale Towards the Use of Telemedicine Services” consisting of 18 questions was developed, reliability and validity analyses were performed, and it was shown that it is suitable for use in individuals older than 18 years.

PMID:37668989 | DOI:10.1089/tmj.2023.0189

Clin Rheumatol. 2023 Sep 5. doi: 10.1007/s10067-023-06728-z. Online ahead of print.

ABSTRACT

BACKGROUND: Bibliometric analysis is a mature method for quantitative evaluation of academic productivity. In view of the rapid development of research in the field of systemic lupus erythematosus (SLE) in the past decade, we used bibliometric methods to comprehensively analyze the literature in the field of SLE from 2013 to 2022.

METHODS: The relevant literature in the field of SLE from 2013 to 2022 was screened in the Web of Science Core Collection database. After obtaining and sorting out the data, CiteSpace and VOSviewer software were used to visualize the relevant data, and SPSS software was used for scientific statistics.

RESULTS: A total of 18,450 publications were included in this study. The number of articles published over the past 10 years has generally shown an upward trend, while Altmetric attention scores have also shown a clear upward trend in general and in most countries. Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers. The USA, China, Japan, Italy, and the UK are the most productive countries, but China and Japan are significantly inferior to other countries in terms of research influence. Four of the top ten authors are at the center of the collaboration network. LUPUS is the most contributing journal. The theme of systemic lupus erythematosus research mainly focuses on the pathogenesis, treatment, and management of SLE, and the emerging trend is related research on machine learning and immune cells.

CONCLUSION: This study shows the research status of SLE, clarifies the main contributors in this field, discusses and analyzes the research hotspots and trends in this field, and provides reference for further research in this field to promote the development of SLE research. Key Points • Through bibliometric analysis, Altmetric analysis, and visual analysis, we reveal the global productivity characteristics of SLE-related papers in the past 10 years. • The number of global SLE-related studies has shown a significant increase, indicating that SLE is still a hot topic and deserves further study. • Citation analysis and Altmetric analysis can mutually prove and supplement the influence of papers, and the attention of related literature among non-professional researchers is increasing. • The theme of SLE research mainly focuses on the pathogenesis, treatment, and management of SLE. The emerging trend is machine learning and immune cells, which may provide new strategies for the diagnosis and treatment of SLE in the future.

PMID:37668951 | DOI:10.1007/s10067-023-06728-z

Environ Monit Assess. 2023 Sep 5;195(10):1150. doi: 10.1007/s10661-023-11665-0.

ABSTRACT

Understanding the spatiotemporal dynamics of river water chemistry from its source to sinks is critical for constraining the origin, transformation, and “hotspots” of contaminants in a river basin. To provide new spatiotemporal constraints on river chemistry, dissolved trace element concentrations were measured at 17 targeted locations across the Ramganga River catchment. River water samples were collected across three seasons: pre-monsoon, monsoon, and post-monsoon between 2019 and 2021. To remove the dependency of trace element concentrations on discharge, we used molar ratios, as discharge data on Indian transboundary rivers are not publicly available. The dataset reveals significant spatiotemporal variability in dissolved trace element concentrations of the Ramganga River. Samples collected upstream of Moradabad, a major industrial city in western Uttar Pradesh, are characterized by ~ 1.2-2.5 times higher average concentrations of most of the trace elements except Sc, V, Cr, Rb, and Pb, likely due to intense water-rock interactions in the headwaters. Such kind of enrichment in trace metal concentrations was also observed at sites downstream of large cities and industrial centers. However, such enrichment was not enough to bring a major change in the River Ganga chemistry, as the signals got diluted downstream of the Ramganga-Ganga confluence. The average river water composition of the Ramganga River was comparable to worldwide river water composition, albeit a few sites were characterized by very high concentrations of dissolved trace elements. Finally, we provide an outlook that calls for an assessment of stable non-traditional isotopes that are ideally suited to track the origin and transformation of elements such as Li, Mg, Ca, Ti, V, Cr, Fe, Ni, Cu, Zn, Sr, Ag, Cd, Sn, Pt, and Hg in Indian rivers.

PMID:37668950 | DOI:10.1007/s10661-023-11665-0