Archives of Medical Science最新文献

Introduction: Atrophic gastritis and intestinal metaplasia are precursor lesions of gastric cancer. The aim of this study was to determine the usefulness of the biomarkers pepsinogen I(PgI), pepsinogen II (PgII), gastrin-17, and H. pylori antibodies in the identification of precursor lesions.

Methods: We studied 129 patients with gastric symptoms. The biomarker status was determined using GastroPanel by means of the ELISA-technique.

Results: Biomarkers detected atrophy in 14% of the subjects, and 49.6% had positive antibodies for H. pylori. A PgI/PgII ratio < 3 was an important risk biomarker for precursor lesions in our population (OR = 9.171, 95% CI: 1.723-48.799, p = 0.009); however, biomarkers showed low accuracy with histopathological study.

Conclusions: In the Western Mexican population, precursor lesions (AG, IM) are common in adults (45%) with dyspepsia but infrequent in children (8%). H. pylori infection was detected in 41.3% of adults and 16.0% of children. Of the studied biomarkers, a PgI/PgII ratio < 3 was an important risk factor for precursor lesions such as AG or IM in our population, with an OR of 9.171 (95% CI: 1.723-48.799, p = 0.009).

Introduction: Sjögren's syndrome (SS) and rheumatoid arthritis (RA) are two chronic autoimmune diseases. To date, there have been few reports on the overlap between SS and RA in China, especially regarding correlated acute renal failure cases.

Methods: To provide a reference for our clinical peers, this article presents the case report of an elderly female patient who was diagnosed with acute renal failure caused by SS and RA overlap syndrome.

Results: We also provide a relevant analysis of SS and RA overlap syndrome treatment.

Conclusions: We also provide a relevant analysis of SS and RA overlap syndrome treatment.

Introduction: Absence of mismatch repair (MMR) genes in tumor cells or errors in the replication repair process may lead to DNA-MMR deficiency and microsatellite instability (MSI) formation. Specific tumor environments where gene variations are observed are believed to be conducive to the formation of MSI. This study aimed to determine the MSI status, MMR protein expression, and somatic mutation profile in solid organ tumors.

Material and methods: In this study, the records of 192 patients with solid organ tumors who were referred to the Molecular Pathology Laboratory between January 2018 and December 2022 were reviewed retrospectively. The MSI profiles of the patients were evaluated using real-time polymerase chain reaction (PCR) and immunohistochemical (IHC) methods. Somatic variations in the patients were detected using an NGS colon cancer panel.

Results: In the IHC evaluation, 22 cases showed MMR-deficient (dMMR) or high MSI (MSI-H), and 170 cases showed MMR-proficient (pMMR) or microsatellite stable (MSS). Real-time PCR results on the 22 dMMR cases revealed that 11 cases had MSI-H and 11 cases had MSS status. Among the 170 cases with pMMR, 160 cases were found to have MSS status, while 10 cases had low MSI (MSI-L). NGS analysis revealed that the three most frequent pathogenic variants in all cases were BLM exon 7 c.1544delA, MSH3 exon 7 c.1148delA, and MLH3 exon 2 c.1755delA. MSI-H cancer patients had a higher variation burden compared to MSS cancer patients. The most frequently observed pathogenic variant in both MSI-H and MSS cancer patients was BLM exon 7 c.1544delA.

Conclusions: Our study covers not only colorectal cancer patients but also other solid tumor types, providing the first data from the Turkish population on the MSI-H/dMMR status and somatic mutation profile in the presence of this condition.

Introduction: This study aimed to compare the effectiveness of two methods for non-invasive mechanical ventilation in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) - using a helmet interface with a flow meter and positive end-expiratory pressure valve versus a traditional mechanical ventilator.

Material and methods: We conducted a single-center randomized clinical trial involving 100 adult SARS-CoV-2 patients in a specialized private hospital. Participants were randomly assigned to two groups: one using the helmet interface with a flow meter and positive end-expiratory pressure valve and the other employing conventional mechanical ventilation. Our study included participant selection, blood gas analysis, assessment of respiratory rate, peripheral oxygen saturation, modified Borg scale scores, and a visual analog scale.

Results: The study showed no significant difference in intubation rates between the mechanical ventilation (54.3%) and helmet interface with flow meter and positive end-expiratory pressure valve (46.8%) groups (p = 0.37). Additionally, the helmet group had a shorter average duration of use (3.4 ±1.6 days) compared to the mechanical ventilation group (4.0 ±1.9 days). The helmet group also had a shorter average hospitalization duration (15.9 ±7.9 days) compared to the mechanical ventilation group (17.1 ±9.5 days).

Conclusions: This single-center randomized clinical trial found no statistically significant differences between the two methods of non-invasive ventilation. Implications for clinical practice: using the helmet interface with the flow meter and positive end-expiratory pressure valve can simplify device installation, potentially reducing the need for intubation, making it a valuable tool for nurses and physiotherapists in daily clinical practice.

Introduction: The latest evidence revealed that dupilumab, an interleukin-4 (IL-4) and interleukin-13 (IL-13) blocker, significantly reduces the exacerbation risk in patients with chronic obstructive pulmonary disease (COPD). The efficacy of dupilumab compared with conventional inhaled drugs remains incompletely determined. This study aimed to investigate the comparative efficacy of dupilumab and conventional inhaled drugs in patients with stable COPD.

Material and methods: This study retrieved randomised clinical trials (RCTs) with follow-up ≥ 48 weeks on long-acting β-agonists (LABAs), long-acting muscarinic receptor antagonists (LAMAs), inhaled corticosteroids (ICSs), and dupilumab in the PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases. The information on eligible studies was extracted after the screening. The comparative efficacy of 4 drugs and their combinations in acute exacerbation and mortality was assessed using Bayesian network meta-analysis models.

Results: This network meta-analysis identified 69 eligible RCTs on 7 classes of drug therapies after stepwise screening and included 125,331 COPD patients. Compared with placebo, the 7 drug interventions significantly reduced the risk of acute exacerbation, and the reduction degree increased with the incremental use of drug classes. ICS/LABA/LAMA/dupilumab was the most effective in decreasing exacerbation risk (OR = 0.561 [95% CI: 0.387-0.810]), followed by ICS/LABA/LAMA (OR = 0.717 [95% CI: 0.626-0.817]). The 7 drug therapies were not significantly associated with a lower risk of death compared to placebo. Nevertheless, ICS/LABA/LAMA/dupilumab is the most likely to be effective in decreasing mortality.

Conclusions: The incremental use of combinations of conventional and novel drugs contributed to the long-term benefits in acute exacerbation but not death in COPD. The optimal drug combination in terms of acute COPD exacerbation was ICS/LABA/LAMA/dupilumab.

Introduction: Mesenchymal stem cells can develop into osteoblasts, making them a promising cell-based osteoporosis treatment. Despite their therapeutic potential, their molecular processes are little known. Bioinformatics and experimental analysis were used to determine the molecular processes of bone marrow mesenchymal stem cell (BMSC) therapy for postmenopausal osteoporosis (PMO).

Material and methods: We used weighted gene co-expression network analysis (WGCNA) to isolate core gene sets from two GEO microarray datasets (GSE7158 and GSE56815). GeneCards found PMO-related genes. GO, KEGG, Lasso regression, and ROC curve analysis refined our candidate genes. Using the GSE105145 dataset, we evaluated KLF2 expression in BMSCs and examined the link between KLF2 and PIK3CA using Pearson correlation analysis. We created a protein-protein interaction network of essential genes involved in osteoblast differentiation and validated the functional roles of KLF2 and PIK3CA in BMSC osteoblast differentiation in vitro.

Results: We created 6 co-expression modules from 10 419 differentially expressed genes (DEGs). PIK3CA, the key gene in the PI3K-Akt pathway, was among 197 PMO-associated DEGs. KLF2 also induced PIK3CA transcription in PMO. BMSCs also expressed elevated KLF2. BMSC osteoblast differentiation involved the PI3K-Akt pathway. In vitro, KLF2 increased PIK3CA transcription and activated the PI3K-Akt pathway to differentiate BMSCs into osteoblasts.

Conclusions: BMSCs release KLF2, which stimulates the PIK3CA-dependent PI3K-Akt pathway to treat PMO. Our findings illuminates the involvement of KLF2 and the PI3K-Akt pathway in BMSC osteoblast development, which may lead to better PMO treatments.

Introduction: The present study focused on developing a nomogram model to predict the 3-month survival of patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis with tissue plasminogen activator (tPA).

Material and methods: A total of 709 patients were enrolled in the present study, including 496 patients in the training set and 213 patients in the validation set. All data were statistically analyzed using R software. We applied LASSO regression analysis to construct nomograms by screening statistically significant predictors from all variables.The model discrimination was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC).

Results: LASSO regression analysis was conducted for all variables, which revealed BNP, DNT, HCY, HDL, MHR, NHR and post-thrombolysis NIHSS as independent predictors of adverse outcomes at 3 months after intravenous thrombolysis. Accordingly, these seven factors were incorporated in the nominated BDH2-MN2 nomogram. The resulting AUC-ROC values determined for the training and validation sets were 0.937 (95% CI: 0.822-0.954) and 0.898 (95% CI: 0.748-0.921), respectively.

Conclusions: A robust BDH2-MN2 (BNP, DNT, HCY, HDL, MHR, NHR and post-thrombolysis NIHSS) nomogram model was successfully developed and validated. The developed nomogram enables prediction of adverse outcomes of individual AIS patients receiving intravenous thrombolysis with alteplase for 3 months.

Introduction: The prevalence of reflux esophagitis (RE) is relatively high around the world. We investigated routine metabolic parameters for associations with RE prevalence and severity, creating a user-friendly RE prediction nomogram.

Material and methods: We included 10,881 individuals who had upper gastrointestinal endoscopy at a hospital. We employed univariate and multivariate logistic regression for independent risk factors related to RE prevalence, and conducted ordinal logistic regression for independent prognostic factors of RE severity. Subsequently, a nomogram was constructed using multivariate logistic regression analysis, and its performance was assessed through the utilization of receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC) analysis.

Results: In this study, 43.8% (4769 individuals) had confirmed RE. Multivariate analysis identified BMI, age, alcohol use, diabetes, Helicobacter pylori, systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), total cholesterol (TC), albumin, uric acid (UA), fT3, and fT4 as independent RE risk factors (p < 0.05). The personalized nomogram used 17 factors to predict RE, with an AUC of 0.921 (95% CI: 0.916-0.926), specificity 84.02%, sensitivity 84.86%, and accuracy 84.39%, reflecting excellent discrimination. Calibration, decision, and CIC analyses affirmed the model's high predictive accuracy and clinical utility. Additionally, ordinal logistic regression linked hypertension, diabetes, HDL-C, LDL-C, TG, and TC to RE severity.

Conclusions: Our study highlights the association between the routine metabolic parameters and RE prevalence and severity. The nomogram may be of great value for the prediction of RE prevalence.

All recent guidelines on cardiovascular prevention have highlighted the role of a healthy diet and lifestyle advocating an holistic approach to reduce the cardiovascular burden among the population. Despite these efforts, registries have reported that only a minority of healthcare professionals provide advice on diet and lifestyle, and, in most cases, counseling is suboptimal for several reasons. Cardiovascular benefits linked to lifestyle and nutrition seem to be underestimated by many patients and doctors. This overview aims to summarize well-established benefits related to lifestyle and nutrition, discuss the current debates in this field in order to improve awareness among the medical community and promote better implementation of non-pharmaceutical measures to prevent the occurrence of atherothrombotic events, by reducing cardiovascular risk factors such as hypertension, diabetes, dyslipidemia, and obesity.