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Nevin Manimala Statistics

Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data

JMIR Med Inform. 2024 Jul 24;12:e49865. doi: 10.2196/49865.

ABSTRACT

BACKGROUND: Interpretability and intuitive visualization facilitate medical knowledge generation through big data. In addition, robustness to high-dimensional and missing data is a requirement for statistical approaches in the medical domain. A method tailored to the needs of physicians must meet all the abovementioned criteria.

OBJECTIVE: This study aims to develop an accessible tool for visual data exploration without the need for programming knowledge, adjusting complex parameterizations, or handling missing data. We sought to use statistical analysis using the setting of disease and control cohorts familiar to clinical researchers. We aimed to guide the user by identifying and highlighting data patterns associated with disease and reveal relations between attributes within the data set.

METHODS: We introduce the attribute association graph, a novel graph structure designed for visual data exploration using robust statistical metrics. The nodes capture frequencies of participant attributes in disease and control cohorts as well as deviations between groups. The edges represent conditional relations between attributes. The graph is visualized using the Neo4j (Neo4j, Inc) data platform and can be interactively explored without the need for technical knowledge. Nodes with high deviations between cohorts and edges of noticeable conditional relationship are highlighted to guide the user during the exploration. The graph is accompanied by a dashboard visualizing variable distributions. For evaluation, we applied the graph and dashboard to the Hamburg City Health Study data set, a large cohort study conducted in the city of Hamburg, Germany. All data structures can be accessed freely by researchers, physicians, and patients. In addition, we developed a user test conducted with physicians incorporating the System Usability Scale, individual questions, and user tasks.

RESULTS: We evaluated the attribute association graph and dashboard through an exemplary data analysis of participants with a general cardiovascular disease in the Hamburg City Health Study data set. All results extracted from the graph structure and dashboard are in accordance with findings from the literature, except for unusually low cholesterol levels in participants with cardiovascular disease, which could be induced by medication. In addition, 95% CIs of Pearson correlation coefficients were calculated for all associations identified during the data analysis, confirming the results. In addition, a user test with 10 physicians assessing the usability of the proposed methods was conducted. A System Usability Scale score of 70.5% and average successful task completion of 81.4% were reported.

CONCLUSIONS: The proposed attribute association graph and dashboard enable intuitive visual data exploration. They are robust to high-dimensional as well as missing data and require no parameterization. The usability for clinicians was confirmed via a user test, and the validity of the statistical results was confirmed by associations known from literature and standard statistical inference.

PMID:39046780 | DOI:10.2196/49865

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Nevin Manimala Statistics

Cardiovascular Comorbidities in COVID-19: Comprehensive Analysis of Key Topics

Interact J Med Res. 2024 Jul 24;13:e55699. doi: 10.2196/55699.

ABSTRACT

BACKGROUND: The interrelation between COVID-19 and various cardiovascular and metabolic disorders has been a critical area of study. There is a growing need to understand how comorbidities such as cardiovascular diseases (CVDs) and metabolic disorders affect the risk and severity of COVID-19.

OBJECTIVE: The objective of this study is to systematically analyze the association between COVID-19 and cardiovascular and metabolic disorders. The focus is on comorbidity, examining the roles of CVDs such as embolism, thrombosis, hypertension, and heart failure, as well as metabolic disorders such as disorders of glucose and iron metabolism.

METHODS: Our study involved a systematic search in PubMed for literature published from 2000 to 2022. We established 2 databases: one for COVID-19-related articles and another for CVD-related articles, ensuring all were peer-reviewed. In terms of data analysis, statistical methods were applied to compare the frequency and relevance of MeSH (Medical Subject Headings) terms between the 2 databases. This involved analyzing the differences and ratios in the usage of these terms and employing statistical tests to determine their significance in relation to key CVDs within the COVID-19 research context.

RESULTS: The study revealed that “Cardiovascular Diseases” and “Nutritional and Metabolic Diseases” were highly relevant as level 1 Medical Subject Headings descriptors in COVID-19 comorbidity research. Detailed analysis at level 2 and level 3 showed “Vascular Disease” and “Heart Disease” as prominent descriptors under CVDs. Significantly, “Glucose Metabolism Disorders” were frequently associated with COVID-19 comorbidities such as embolism, thrombosis, and heart failure. Furthermore, iron deficiency (ID) was notably different in its occurrence between COVID-19 and CVD articles, underlining its significance in the context of COVID-19 comorbidities. Statistical analysis underscored these differences, highlighting the importance of both glucose and iron metabolism disorders in COVID-19 research.

CONCLUSIONS: This work lays the foundation for future research that utilizes a knowledge-based approach to elucidate the intricate relationships between these conditions, aiming to develop more effective health care strategies and interventions in the face of ongoing pandemic challenges.

PMID:39046774 | DOI:10.2196/55699

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Nevin Manimala Statistics

Targeting plasmid-encoded proteins that contain immunoglobulin-like domains to combat antimicrobial resistance

Elife. 2024 Jul 24;13:RP95328. doi: 10.7554/eLife.95328.

ABSTRACT

Antimicrobial resistance (AMR) poses a significant threat to human health. Although vaccines have been developed to combat AMR, it has proven challenging to associate specific vaccine antigens with AMR. Bacterial plasmids play a crucial role in the transmission of AMR. Our recent research has identified a group of bacterial plasmids (specifically, IncHI plasmids) that encode large molecular mass proteins containing bacterial immunoglobulin-like domains. These proteins are found on the external surface of the bacterial cells, such as in the flagella or conjugative pili. In this study, we show that these proteins are antigenic and can protect mice from infection caused by an AMR Salmonella strain harboring one of these plasmids. Furthermore, we successfully generated nanobodies targeting these proteins, that were shown to interfere with the conjugative transfer of IncHI plasmids. Considering that these proteins are also encoded in other groups of plasmids, such as IncA/C and IncP2, targeting them could be a valuable strategy in combating AMR infections caused by bacteria harboring different groups of AMR plasmids. Since the selected antigens are directly linked to AMR itself, the protective effect extends beyond specific microorganisms to include all those carrying the corresponding resistance plasmids.

PMID:39046772 | DOI:10.7554/eLife.95328

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Nevin Manimala Statistics

Religious Coping, Resilience, and Military Spouse Mental Health

Mil Med. 2024 Jul 24:usae368. doi: 10.1093/milmed/usae368. Online ahead of print.

ABSTRACT

INTRODUCTION: Military spouses play a key role in the military family and contribute to military readiness. Despite their influence, they are an understudied population. Previous research has identified military spouses as a vulnerable group considering their unique life stressors and high mental distress; thus, it is critical to identify potential protective factors for military spouses. However, there is a lack of research exploring the role of religious coping and resilience in mental health outcomes of military spouses. The purpose of this study was to evaluate the effect of religious coping on depression, anxiety, and stress, and the extent to which the effect is mediated by resilience.

MATERIALS AND METHODS: A total of 1,079 military spouses completed self-administered surveys online. The questionnaires assessed demographic factors, depression, anxiety, stress, religious coping, and resilience. Zero-order correlations and descriptive statistics were analyzed. Additionally, multiple linear regression was utilized to investigate the extent to which resilience mediated the relationship between religious coping and mental health outcomes.

RESULTS: The results indicate high levels of depression, anxiety, and stress among military spouses. Religious coping had significant effects on mental distress, such that increases in religious coping corresponded to decreases in depression (β = -3.30), anxiety (β = -1.89) and stress (β = -1.58). Mediation analyses indicated resilience significantly mediated the relationship between religious coping and depression (95% CI [-1.38, -.431]), anxiety (95% CI [-1.23, -.376]), and stress (95% CI [-1.328, -0.420]). For military spouses, religious coping was associated with increased resilience, which was subsequently associated with reduced mental distress.

CONCLUSIONS: This study draws attention to the role of religious coping and resilience in mental health outcomes for military spouses. Considering the role of military spouses in supporting service members, future research should explore how to strengthen military spouses’ religious coping and resilience to mitigate mental distress, thereby facilitating service member success and military readiness.

PMID:39046759 | DOI:10.1093/milmed/usae368

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Nevin Manimala Statistics

Social Vulnerability and Prevalence and Treatment for Mental Health and Substance Use Disorders

JAMA Psychiatry. 2024 Jul 24. doi: 10.1001/jamapsychiatry.2024.1870. Online ahead of print.

ABSTRACT

IMPORTANCE: Community-level social vulnerability (SV) is associated with physical illness and premature mortality. Its association with mental health (MH) and substance use disorders (SUDs) needs further study.

OBJECTIVE: To study associations of SV with clinical diagnoses of MH disorders, SUDs, and related treatments in the US noninstitutionalized population of adults aged 18 years and older.

DESIGN, SETTING, AND PARTICIPANTS: A survey of adults in a national sample of US households between October 2020 and October 2022. Participants drawn from a multistage, clustered, and stratified area probability sample of US households were included, excluding adults older than 65 years because of the difficulty of differentiating mental disorders from symptoms of dementia. The sample also included adults living in prisons, state psychiatric hospitals, and homeless shelters who were excluded from the sample of US households used in these analyses. Each sample household was sent a letter explaining the study and offering the option to complete the household roster online, by phone, or by email. Of the 12 906 adults selected for clinical interviewing in the household sample, 4674 completed clinical interviews.

MAIN OUTCOMES AND MEASURES: Main outcomes were Structured Clinical Interview for DSM-5 past-year diagnoses of MH disorders and SUDs and responses to survey questions regarding treatment received. The Social Vulnerability Metric (SVM) and the Area Deprivation Index (ADI) were used to determine SV at the residential zip code level.

RESULTS: The analysis involved 4674 participants (2904 [62.13%] female and 1770 [37.87%] male; mean [SD] age, 41.51 [13.41] years). Controlling for measured confounders, the SVM was significantly associated with diagnoses of schizophrenia spectrum disorder (SSD; adjusted odds ratio [aOR], 17.22; 95% CI, 3.05-97.29), opioid use disorder (OUD; aOR, 9.47; 95% CI, 2.30-39.02), stimulant use disorder (aOR, 6.60; 95% CI, 2.01-21.67), bipolar I disorder (aOR, 2.39; 95% CI, 1.19-4.80), posttraumatic stress disorder (aOR, 1.63; 95% CI, 1.06-2.50), and any MH disorder (aOR, 1.44; 95% CI, 1.14-1.83), but not major depressive disorder (MDD), generalized anxiety disorder (GAD), or any SUD. Results were similar for the ADI but generally of lower magnitude (SSD aOR, 11.38; 95% CI, 1.61-80.58; OUD aOR, 2.05; 95% CI, 0.30-14.10; stimulant use disorder aOR, 2.18; 95% CI, 0.52-9.18). Among participants with SSDs, SV was associated with reduced MH treatment (aOR, 0.001; 95% CI, 0.00-0.18) and reduced SUD treatment in participants with OUD or stimulant use disorder (aOR, 0.24; 95% CI, 0.02-2.80).

CONCLUSIONS AND RELEVANCE: In contrast to previous studies using nonclinical symptom-based survey data, we found no association between SV and GAD or MDD. By contrast, there were associations of SV with prevalence of SSD, stimulant use disorder, and OUD with corresponding decreases in treatment. These results suggest that the SVM might assist in developing more comprehensive care models that integrate medical and social care for MH disorders and SUDs.

PMID:39046728 | DOI:10.1001/jamapsychiatry.2024.1870

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Nevin Manimala Statistics

A study on the related influencing factors of the quality of bowel preparation and the compliance of middle-aged and elderly patients for colonoscopy

Curr Med Res Opin. 2024 Jul 24:1-17. doi: 10.1080/03007995.2024.2384589. Online ahead of print.

ABSTRACT

OBJECTIVE: Quality of bowel preparation and patient compliance are among the most important indicators to assess the quality of colonoscopy. To investigate the independent factors associated with the quality of bowel preparation in subjects undergoing colonoscopy and its impact on compliance.

METHODS: A total of 329 patient records were collected and were divided into an adequate bowel preparation group (272 cases) and an inadequate bowel preparation group (57 cases), or a compliant group (260 cases) and a non-compliant group (69 cases), based on bowel preparation quality or compliance. The quality of bowel preparation is evaluated using the Boston Bowel Preparation Scale. The comfort level of subjects during bowel preparation is assessed using the Kolcaba General Comfort Questionnaire (GCQ). Subjects’ compliance was assessed according to a self-developed compliance questionnaire. Prediction analyses were conducted to identify factors associated with the quality of bowel preparation and compliance.

RESULTS: Age, bowel preparation duration, history of bowel inadequacy, and laxative dosage showed statistical differences between the adequate and inadequate bowel preparation groups (P < 0.05). Age, bowel preparation duration, and laxative dosage were independent influencing factors of bowel preparation quality. Correlation analysis showed that GCQ scores was significantly negatively correlated with age, bowel preparation duration, laxative dose, defecation frequency, and colonoscopy duration (r < 0, P < 0.05), and positively correlated with sleep duration (r > 0, P < 0.05). In addition, age, gender, bowel preparation duration, and laxative dosage showed statistical differences between the compliant and non-compliant groups (P < 0.05). Logistic regression analysis revealed that age, bowel preparation duration, and laxative dosage were independent influencing factors of bowel preparation compliance. Age and bowel preparation duration were independent influencing factors for bowel preparation adequacy and compliance.

CONCLUSIONS: Age, bowel preparation duration, and laxative dosage are independent influencing factors for bowel preparation adequacy and compliance among patients undergoing colonoscopy at the First Affiliated Hospital, School of Medicine, Zhejiang University. It is recommended that a one-day low-residue diet combined with a 2000 mL laxative dosage be used as the bowel preparation protocol for the general colonoscopy population.

PMID:39046704 | DOI:10.1080/03007995.2024.2384589

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Nevin Manimala Statistics

A cross-sectional investigation of a mobile health clinic run by undergraduate pharmacy students providing services to underserved communities

Int J Clin Pharm. 2024 Jul 24. doi: 10.1007/s11096-024-01783-1. Online ahead of print.

ABSTRACT

BACKGROUND: Mobile health clinics have been used to provide healthcare to underserved communities, especially during the COVID-19 pandemic. Student-led clinics, operated by undergraduate health students, offer valuable training while serving these populations.

AIM: This cross-sectional study investigated the demographic characteristics and services provided by a mobile health clinic run by undergraduate pharmacy students, assessing its potential to reach underserved communities.

METHOD: The mobile health clinic operated from October 2023 to April 2024, staffed by 36 fourth-year pharmacy students. Services included cardiovascular disease risk screening and lifestyle advice. Demographic and service data were collected using an electronic primary care system and analysed with descriptive statistics.

RESULTS: The clinic served 716 users, with a demographic breakdown of 53.2% female and 46.8% male, predominantly aged 31-60 years. Users were ethnically diverse. Services provided included blood pressure (91.3%), BMI (91.3%), and diabetes risk assessments (54.9%). Many users reported low risk for smoking and alcohol consumption, but varied levels of physical activity. Referrals were made for cardiovascular disease risk and lifestyle support.

CONCLUSION: The mobile health clinic effectively reached a diverse, underserved population, providing essential health services and facilitating student training. Further research is needed to evaluate the long-term impact and cost-effectiveness of such clinics, and the follow-up care for referred patients.

PMID:39046691 | DOI:10.1007/s11096-024-01783-1

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Nevin Manimala Statistics

Granulation Patterns of Functional Corticotroph Tumors Correlate with Tumor Size, Proliferative Activity, T2 Intensity-to-White Matter Ratio, and Postsurgical Early Biochemical Remission

Endocr Pathol. 2024 Jul 24. doi: 10.1007/s12022-024-09819-y. Online ahead of print.

ABSTRACT

Unlike somatotroph tumors, the data on correlates of tumor granulation patterns in functional TPIT lineage pituitary neuroendocrine tumors (corticotroph tumors) have been less uniformly documented in most clinical series. This study evaluated characteristics of 41 well-characterized functional corticotroph tumors consisting of 28 densely granulated corticotroph tumors (DGCTs) and 13 sparsely granulated corticotroph tumors (SGCTs) with respect to preoperative clinical and radiological findings, tumor proliferative activity (including mitotic count and Ki-67 labeling index), and postoperative early biochemical remission rates. The median (interquartile range (IQR)) tumor size was significantly larger in the SGCT group [16.00 (16.00) mm in SGCT vs 8.5 (9.75) mm in DGCT, p = 0.049]. T2-weighted signal intensity and T2 intensity (quantitative) did not yield statistical significance based on tumor granulation; however, the T2 intensity-to-white matter ratio was significantly higher in SGCTs (p = 0.049). The median (IQR) Ki-67 labeling index was 2.00% (IQR 1.00%) in the DGCT group and 4.00% (IQR 7.00%) in the SGCT group (p = 0.043). The mitotic count per 2 mm2 was higher in the SGCT group (p = 0.001). In the multivariate analysis, the sparse granulation pattern (SGCT) remained an independent predictor of a lower probability of early biochemical remission irrespective of the tumor size and proliferative activity (p = 0.012). The current study further supports the impact of tumor granulation pattern as a biologic variable and warrants the detailed histological subtyping of functional corticotroph tumors as indicated in the WHO classification of pituitary neuroendocrine tumors. More importantly, the assessment of the quantitative T2 intensity-to-white matter ratio may serve as a preoperative radiological harbinger of SGCTs.

PMID:39046680 | DOI:10.1007/s12022-024-09819-y

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Nevin Manimala Statistics

Adjunctive use of netarsudil 0.02% in the treatment of refractory glaucoma: a one year analysis

Int Ophthalmol. 2024 Jul 24;44(1):335. doi: 10.1007/s10792-024-03245-z.

ABSTRACT

PURPOSE: This study evaluates the long-term adjunctive use of netarsudil ophthalmic solution 0.02% in lowering IOP in patients with refractory glaucoma.

METHODS: This retrospective chart review study was conducted at a tertiary care center. Patients who were prescribed add-on netarsudil therapy and on ≥ 3 topical glaucoma medications from 01/01/2018 to 08/31/2020 were reviewed. 47 patients (69 eyes) met the inclusion criteria. Baseline IOPs prior to the addition of netarsudil were compared to IOPs measured at 3-, 6-, and 12-month intervals. Any patients with inadequate follow-up or who had glaucoma surgery after netarsudil initiation were excluded.

RESULTS: Median baseline IOP (± SD) was 21 ± 5.8 mmHg (median of 2 visits prior to initiation of netarsudil). At 3-month follow-up, 64 eyes had a median IOP of 16 ± 6.7 mmHg (p < 0.01). At 6-month follow-up, 56 eyes had a median IOP of 18 ± 4.6 mmHg (p < 0.01). At 12-month follow-up, 44 eyes had a median IOP of 15 ± 6.8 mmHg (p < 0.01). At the conclusion of the study, 64% of eyes reached 1 year follow-up due to several reasons.

CONCLUSIONS: Patients with refractory glaucoma showed statistically and clinically significant IOP reductions on netarsudil. IOP reduction was stable long-term with the largest decrease in IOP seen at 12 months. Although some patients will still go on to require further laser or incisional surgery, for most patients netarsudil is an effective treatment for adjunctive use in refractory glaucoma.

PMID:39046674 | DOI:10.1007/s10792-024-03245-z

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Nevin Manimala Statistics

Transformation of coastal wetlands in the Sundarban Delta (1999-2020)

Environ Monit Assess. 2024 Jul 24;196(8):758. doi: 10.1007/s10661-024-12901-x.

ABSTRACT

Spanning across Bangladesh and India, the Sundarban Delta consists of over a thousand islands, the majority of which are protected. These islands are important for the rich biodiversity and unique species found here. However, these islands are also at the forefront of climate change due to the impact of rising sea levels and extreme weather events. Therefore, we analyzed the long-term transformations in the land use land cover (LULC) between 1999 and 2020. We used a variety of geostatistical methods, including optimized hot spots cold spots and join count statistics, to examine the spatial patterns of changes in LULC across the study area. The results of our analysis revealed substantial changes in the spatial patterns of mangroves and pond aquaculture. The changes revealed a distinct north-south demarcation in spatial patterns, in the form of clustering of mangroves in the uninhabited islands located in the south and pond aquaculture clustered in the northern inhabited islands. The loss of area under mangroves was concentrated in the southern edges of the islands, which were most exposed to erosion in the open ocean. Nevertheless, we observed an increase in the area under mangroves in some of the northern riverine islands (17 km2). In the case of pond aquaculture, it was mostly concentrated in inhabited islands in the north. Most of the expansions were concentrated in the Indian part of the delta (631 km2). It is noteworthy that because of effective conservation measures, there was very limited overlap between mangroves and pond aquaculture, denoting the conversion of agricultural land to pond aquaculture instead of mangroves. Thus, the results of our study revealed the importance of local level conservation policies and anthropogenic activities, such as deforestation and local level disturbance like over-extraction of water and pollution, on the changing patterns of LULC across this unique, fragile ecosystem. Future studies may incorporate a finer resolution time series of LULC changes over time and space to enable more detailed analysis.

PMID:39046650 | DOI:10.1007/s10661-024-12901-x