Tag: pubmed

Medicine (Baltimore). 2025 Feb 28;104(9):e41633. doi: 10.1097/MD.0000000000041633.

ABSTRACT

Currently, the precise interplay between autoimmune thyroiditis, particularly Hashimoto thyroiditis, and thyroid cancer remains ambiguous. While certain observational studies suggest autoimmune thyroiditis (including Hashimoto thyroiditis) as a predisposing factor for thyroid cancer. Nevertheless, it is still uncertain whether autoimmune thyroiditis is independently associated with thyroid cancer. We employed Mendelian randomization (MR) study methodology, a genetic analysis approach, to evaluate the causal impact of autoimmune thyroiditis on the occurrence of thyroid cancer. We obtained and synthesized statistical data by utilizing public available genome-wide association studies (GWAS). Our study utilized GWAS summary statistics datasets associated with autoimmune thyroiditis (including Hashimoto thyroiditis) as the exposure data source and selected GWAS summary statistics datasets related to thyroid cancer as the outcome data source. Single nucleotide polymorphisms closely associated with autoimmune thyroiditis were chosen as instrumental variables. We conducted 2-sample MR analyses to elucidate the causal association between autoimmune thyroiditis and thyroid cancer. The inverse variance-weighted (IVW) method was employed as the primary methodology, supplemented by additional MR methods including MR-Egger regression, weighted median, simple mode, and weighted mode analyses, to bolster the robustness of our findings. The MR analysis conducted using the IVW method did not confirm a causal relationship between autoimmune thyroiditis and thyroid cancer (odds ratio [OR] = 0.8554, 95% confidence interval [CI]: 0.7193 to 1.0172, P = .0772; OR = 0.8477, 95% CI: 0.7159 to 1.0039, P = .0555; and OR = 1.1324, 95% CI: 0.9342 to 1.3725, P = .2052, from 3 eligible dataset analyses, respectively). Additionally, MR analysis did not observe a causal association between Hashimoto thyroiditis and thyroid cancer (OR = 1.0449, 95% CI: 0.9400 to 1.1615, P = .4155; and OR = 0.9897, 95% CI: 0.8174 to 1.1984, P = .9159, from 2 eligible dataset analyses, respectively). Consistency in results across alternative MR methods was observed. This study employing MR methodology indicates the absence of significant causal relationship between exposure to autoimmune thyroiditis (including Hashimoto thyroiditis) and thyroid cancer. Further validation through larger-scale studies with increased sample sizes is warranted in future investigations.

PMID:40020149 | DOI:10.1097/MD.0000000000041633

Medicine (Baltimore). 2025 Feb 28;104(9):e41641. doi: 10.1097/MD.0000000000041641.

ABSTRACT

BACKGROUND: Our study aims to investigate whether there is a relationship by measuring the total oxidant/antioxidant load with the thiol/disulfide method in patients with unexplained infertility.

METHODS: A total of 82 participants were enrolled, consisting of 41 women with unexplained infertility and 41 fertile controls matched for age and body mass index (BMI). Hormonal profiles, including follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), thyroid-stimulating hormone (TSH), and prolactin, were assessed using the chemiluminescence immunoassay method. Thiol/disulfide homeostasis was evaluated using a validated automated spectrophotometric method, which measured native thiol (NT), total thiol (TT), and disulfide levels. Detailed quality control measures ensured the reliability of the results.

RESULTS: In the study, no significant difference was found between the infertile and fertile groups’ demographic (age) and clinical variables in terms of height, weight, BMI, FSH, LH, E2, TSH, prolactin, antral follicle count, TT, NT, and disulfide values (P > .05). The rates were found to be greater in the infertile group in disulfide/NT ratio and disulfide/TT ratio compared to the fertile group, even though there was no statistically significant difference between the groups’ disulfide/NT ratio, disulfide/TT ratio, and NT/TT ratio values. The fertile group, however, had a higher NT/TT ratio rate.

CONCLUSION: Although the unexplained infertility and fertile groups in the study did not differ in serum thiol and disulfide levels, the infertile group was found to have a relatively high disulfide/thiol ratio. More prospective studies on thiol/disulfide balance related to unexplained infertility may help to understand the relationship.

PMID:40020144 | DOI:10.1097/MD.0000000000041641

Medicine (Baltimore). 2025 Feb 28;104(9):e41671. doi: 10.1097/MD.0000000000041671.

ABSTRACT

The purpose of the study was to examine the association between depression and substance abuse and to assess their prevalence and associated factors. A cross-sectional design was employed. To collect data for the present study, 2 scales (Beck depression inventory and Alcohol, Smoking, and Substance Involvement screening Test [ASSIST]) was administered to students. Two hundred fifty seven Addis Ababa Institute of Technology final year regular undergraduate students were participated. The results revealed that a high correlation was found between depression and substance abuse. The prevalence of depression is 27.2%. Similarly, the prevalence of alcohol abuse, khat abuse, cigarette abuse and cannabis abuse are 25.5%, 17.7%, 9.5%, and 3.3% respectively. Hence, the overall substance abuse prevalence is 14%. Alcohol is most abused drug followed by khat abuse. Cigarette and cannabis abuse take the 3rd and 4th rank respectively. Multivariate test of significance reveals that gender, religion and the interaction of gender with religion, residence, and ethnicity had an effect on the two combined dependent measures. Females are more depressed than males. In turn, males are more substance abusers than females. The researchers suggested that the university to establish its own substance abuse prevention and treatment working center which is open for psychologists, therapist and other health workers.

PMID:40020139 | DOI:10.1097/MD.0000000000041671

Medicine (Baltimore). 2025 Feb 28;104(9):e41518. doi: 10.1097/MD.0000000000041518.

ABSTRACT

BACKGROUND: Diabetic nephropathy (DN) is the most prevalent and critical microvascular complication of diabetes mellitus, constituting a significant contributor to end-stage renal disease. Shenyankangfu tablets (SYKFP) are a pure traditional Chinese medicine compound. Current studies have shown that SYKFP combined with valsartan in the treatment of DN had therapeutic advantages. However, there is still a lack of systematic research. Therefore, meta-analysis was used to systematically evaluate the efficacy and safety of SYKFP combined with valsartan in treating DN and to provide evidence-based medical evidence for clinical application.

METHODS: CNKI, VIP, Wanfang, Chinese Biomedical Literature Service System, American Clinical Trial Registry, Embase, Web of Science, PubMed, and Cochrane Library databases were searched from the date of database establishment to August 2024. All randomized controlled trials of SYKFP in combination with valsartan for treating DN were collected, and the data of clinical trials that met the inclusion criteria were extracted. Meta-analysis was performed using Review Manager 5.4 and Stata 17.0.

RESULTS: Sixty-nine pieces of literature were retrieved, and 14 eligible randomized controlled trials were selected, with 1281 participants. The results of the meta-analysis showed that compared with valsartan alone in the treatment of DN, Shenyanangfu tablets combined with valsartan can improve the clinical efficacy rate (relative risk = 1.16, 95% CI [1.11, 1.22], P < .00001) and reduce blood creatinine (mean difference [MD] = -28.79, 95% CI [-31.16, -26.42], P < .00001), urea nitrogen (MD = -1.37, 95% CI [-1.52, -1.22], P < .00001), 24-hour urine protein quantification (MD = -0.59, 95% CI [-0.77, -0.40], P < .00001), fasting blood glucose (MD = -0.51, 95% CI [-0.77, -0.25], P = .0001) and the incidence of adverse events (relative risk = 0.74, 95% CI [0.43, 1.23], P = .24) were better than valsartan alone, and the difference was statistically significant.

CONCLUSION: SYKFP combined with valsartan can improve the clinical treatment efficiency of DN. They can effectively reduce the occurrence of urea nitrogen, blood creatinine, 24-hour urine protein quantification, fasting blood glucose, and adverse events.

PMID:40020136 | DOI:10.1097/MD.0000000000041518

Medicine (Baltimore). 2025 Feb 28;104(9):e41359. doi: 10.1097/MD.0000000000041359.

ABSTRACT

This study utilized Mendelian randomization (MR) analysis to explore the causal relationship between circulating cytokines and polycystic ovary syndrome (PCOS), and to identify potential biomarkers of PCOS mechanisms. Genetic instrumental variables for cytokines were derived from 2 large-scale genome-wide association studies (GWAS) involving 8293 and 14,824 European participants. Summary statistics from a GWAS meta-analysis (10,074 PCOS cases and 103,164 controls of European ancestry) were used in the discovery phase of MR analysis. Replication analysis utilized another GWAS meta-analysis dataset (3609 cases and 229,788 controls). The primary analysis employed the inverse-variance weighted (IVW) method, with secondary methods including constrained maximum likelihood model averaging, weighted median, and weighted mode. Meta-analysis was combined with MR results, while heterogeneity and horizontal pleiotropy were assessed using leave-one-out, MR-Egger intercept test, and Mendelian Randomization Pleiotropy Residual Sum and Outlier. Sensitivity analysis confirmed the robustness of the results. Reverse MR analysis was used to explore the association of PCOS with the identified cytokines. Meta-analysis revealed that increased CCL4 (C-C motif chemokine 4) levels were associated with a higher risk of PCOS (odds ratio [OR] = 1.123, 95% confidence interval [CI]: 1.056-1.195; P < .001). Decreased PCOS risk was linked to CXCL11 (C-X-C motif chemokine 11, OR = 0.930, 95% CI: 0.890-0.970; IVW-false discovery rate [FDR] P = 4.85 × 10-4) and CD6 (T-cell surface glycoprotein CD6 isoform, OR = 0.730, 95% CI: 0.890-0.970; IVW-FDR P = .008). Sensitivity analysis confirmed the robustness of the findings. MR analysis suggests a potential causal link between alterations in CCL4, CXCL11, CD6, and PCOS risk, highlighting the role of cytokines in PCOS development and progression, warranting further investigation.

PMID:40020129 | DOI:10.1097/MD.0000000000041359

Medicine (Baltimore). 2025 Feb 28;104(9):e41614. doi: 10.1097/MD.0000000000041614.

ABSTRACT

The natural forces of the lunar cycle and seasonal solstice variation on the water surfaces have been studied extensively but not on patients with fluid problems such as heart failure (HF). This retrospective review investigates these temporal effects on admission rates of patients with heart failure and length of stay. In this study, we try to answer the following questions: Do moon cycles (full moon vs new moon) significantly affect the number of patients admitted? and Do moon cycles significantly affect the patient’s hospital length of stay (LOS?). All patients with HF exacerbation admission between January 1, 2016 to December 31, 2019, were filtered according to admission date based on the lunar calendar. Patients admitted on the day of, the day before, and the day after a new and full moon were included. Question 1, Poisson regression models were employed. The overdispersion obtained from the AER package was 1.63. All analyses were performed using R (R Core Team). A total of 758 patients were admitted during lunar cycles, 50.1% (N = 380) were admitted during the new moon and 49.4% (N = 378) during the full moon. The mean age is 78.4 (SD 7.2), the mean BMI is 28.8 (SD 6.7), and the mean LOS is 5.6 (SD 3.4) with no significant differences in patients admitted during both of the moon cycles. The seasons variable showed statistically significant coefficients, with the summer season (S2) having the highest impact (coefficient 0.85, P = .001). Some interaction between Moon-Cycle, summer season, and BMI influenced patient admissions during lunar cycles (coefficient = 0.49 P ≤ .001). This study showed that the moon cycle may impact patients with HF during the summer season only. Prospective studies are needed on a national level to investigate further the impact of the moon cycle on HF patients. This will help improve patient outcomes and pathogenesis, and there is excellent potential for reducing medical costs.

PMID:40020125 | DOI:10.1097/MD.0000000000041614

Medicine (Baltimore). 2025 Feb 28;104(9):e41660. doi: 10.1097/MD.0000000000041660.

ABSTRACT

There are studies evaluating the association of serum lactate dehydrogenase (LDH) and albumin levels with mortality in COVID-19 patients. The aim of our study was to evaluate the predictive effect of the LDH/albumin ratio (LAR) on mortality and poor clinical course in COVID-19 patients. A total of 2093 patients for whom LDH and albumin tests were available were included in the study. Demographic data, length of hospitalization, and signs of poor clinical course were recorded and compared with the LAR value at the time of hospitalization. The study included 1010 female (48.3%) and 1083 male (51.7%) patients. Notably, 1408 (67.3%) of the patients had at least 1 comorbidity. Oxygen was required in 860 patients (41.1%) and intensive care unit was required in 215 patients (10.3%). The mortality rate was 8.1% (n: 170). The median LAR value was 8.05. A positive correlation was observed between LAR and length of hospitalization. The LAR value was significantly higher in patients who died compared with those who survived, in patients who required intensive care compared with those who did not, and in patients who required oxygen compared to those who did not. The cutoff value for LAR in predicting mortality was calculated as 10.48. The sensitivity and specificity were determined as 73.5% and 73.7%. In conclusion, serum LAR at the time of admission is predictive of poor clinical course and mortality in COVID-19 patients. Patients with LAR values higher than the cutoff value should be closely monitored for poor clinical course.

PMID:40020123 | DOI:10.1097/MD.0000000000041660

Medicine (Baltimore). 2025 Feb 28;104(9):e41669. doi: 10.1097/MD.0000000000041669.

ABSTRACT

The study aims to comprehensively evaluate the demographic data, diagnostic spectrum, and temporal changes of 5.3 million patients in a state hospital emergency department in an urban area of Istanbul between 2019 and 2024. Data of 5,279,033 patients admitted to Sultanbeyli State Hospital Emergency Department between 2019 and 2024 were retrospectively analyzed. Sociodemographic characteristics, diagnoses, time of presentation, and seasonal variables of 879,839 average annual admissions (minimum: 653,746, maximum: 1068,504) were evaluated. Upper respiratory tract diseases accounted for 26.7% to 35.2% of the admissions during the period analyzed (P < .001). A remarkable increase in the prevalence of myalgia (2019: 5.01%, 2024: 10.29%; odds ratio: 2.17, 95% confidence interval: 1.98-2.37) was observed. In terms of age distribution, while the number of applicants aged 0 to 20 years was 493,382 (48.3%) in 2019, it decreased to 101,560 (15.5%) in 2024 (P < .001). Gender: female predominance was observed in all groups over 21 years of age (odds ratio: 1.43, 95% confidence interval: 1.35-1.52). During the pandemic period (2020-2021), the diagnosis of suspected disease increased to 24.42% and significant changes were observed in emergency department admission dynamics (annual coefficient of variation: 0.68, P < .001). This large-scale epidemiologic study reveals the presentation characteristics of an urban emergency department with an annual average of 880,000 visits. The data, especially the marked variation between age groups and changes in specific diagnostic categories, are of strategic importance for planning health services. Our findings provide an evidence-based basis for the organization of emergency health services in accordance with health needs.

PMID:40020118 | DOI:10.1097/MD.0000000000041669

Medicine (Baltimore). 2025 Feb 28;104(9):e41713. doi: 10.1097/MD.0000000000041713.

ABSTRACT

Previous studies have indicated that patients with uterine fibroids (UF) may have an elevated risk of cardiovascular disease (CVD), although the causal relationship between UF and CVD remains unclear. In this Mendelian randomization (MR) study, we aimed to investigate the causal association between genetic susceptibility to UF and the risk of developing CVD. We extracted summary statistics for single nucleotide polymorphisms associated with UF and 5 CVDs from multiple databases for further analysis. First, we used linkage disequilibrium score regression to assess the genetic correlation across the genome. Next, we performed univariate MR (UVMR), and to ensure the robustness of our results, we conducted sensitivity analyses using several methods. Additionally, we applied multivariable MR (MVMR) to adjust for potential confounders. The linkage disequilibrium score regression results showed that there was no genetic correlation between UF and coronary heart disease, myocardial infarction (MI), atrial fibrillation, heart failure, cardioembolic stroke (CES). The UVMR revealed a significant association between UF and CES (OR = 1.113, 95% confidence interval [CI]: 1.018-1.218, P = .019, PFDR = .047) and a suggestive causal relationship between UF and MI (OR = 0.943, 95% CI: 0.899-0.989, P = .015, PFDR = .075). In the MVMR analysis, after adjusting for a range of potential confounders, the causal relationships between UF and both CES (OR = 1.104, 95% CI = 1.012-1.205, P = .027) and MI (OR = 0.935, 95% CI = 0.882-0.992, P = .025) remained significant. Our study found that UF increase the risk of CES but decrease the risk of MI, providing a theoretical basis for further research into the underlying mechanisms.

PMID:40020116 | DOI:10.1097/MD.0000000000041713

JMIR Med Inform. 2025 Feb 28;13:e67984. doi: 10.2196/67984.

ABSTRACT

BACKGROUND: The digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. SNOMED Clinical Terms (SNOMED CT), a comprehensive terminology with over 360,000 medical concepts, supports this need. However, it cannot cover all medical scenarios, particularly in complex cases. To address this, SNOMED CT allows postcoordination, where users combine precoordinated concepts with new expressions. Despite SNOMED CT’s potential, the creation and validation of postcoordinated expressions (PCEs) remain challenging due to complex syntactic and semantic rules.

OBJECTIVE: This work aims to develop a tool that validates postcoordinated SNOMED CT expressions, focusing on providing users with detailed, automated correction instructions for syntactic and semantic errors. The goal is not just validation, but also offering user-friendly, actionable suggestions for improving PCEs.

METHODS: A tool was created using the Fast Healthcare Interoperability Resource (FHIR) service $validate-code and the terminology server Ontoserver to check the correctness of PCEs. When errors are detected, the tool processes the SNOMED CT Concept Model in JSON format and applies predefined error categories. For each error type, specific correction suggestions are generated and displayed to users. The key added value of the tool is in generating specific correction suggestions for each identified error, which are displayed to the users. The tool was integrated into a web application, where users can validate individual PCEs or bulk-upload files. The tool was tested with real existing PCEs, which were used as input and validated. In the event of errors, appropriate error messages were generated as output.

RESULTS: In the validation of 136 PCEs from 304 FHIR Questionnaires, 18 (13.2%) PCEs were invalid, with the most common errors being invalid attribute values. Additionally, 868 OncoTree codes were evaluated, resulting in 161 (20.9%) PCEs containing inactive concepts, which were successfully replaced with valid alternatives. A user survey reflects a favorable evaluation of the tool’s functionality. Participants found the error categorization and correction suggestions to be precise, offering clear guidance for addressing issues. However, there is potential for enhancement, particularly regarding the level of detail in the error messages.

CONCLUSIONS: The validation tool significantly improves the accuracy of postcoordinated SNOMED CT expressions by not only identifying errors but also offering detailed correction instructions. This approach supports health care professionals in ensuring that their PCEs are syntactically and semantically valid, enhancing data quality and interoperability across systems.

PMID:40019788 | DOI:10.2196/67984