Clinic Practice Research Articles

Exploration and prognostic analysis of two types of high-risk ovarian cancers: clear cell vs. serous carcinoma: a population-based study

BackgroundOvarian clear cell carcinoma (OCCC) is a rare pathological histotype in ovarian cancer, while the survival rate of advanced OCCC (Stage III-IV) is substantially lower than that of the advanced serous ovarian cancer (OSC), which is the most common histotype. The goal of this study was to identify high-risk OCCC by comparing OSC and OCCC, with investigating potential risk and prognosis markers.MethodsPatients diagnosed with ovarian cancer from 2009 to 2018 were identified from the Surveillance, Epidemiology, and End Results (SEER) Program. Logistic and Cox regression models were used to identify risk and prognostic factors in high-risk OCCC patients. Cancer-specific survival (CSS) and overall survival (OS) were assessed using Kaplan-Meier curves. Furthermore, Cox analysis was employed to build a nomogram model. The performance evaluation results were displayed using the C-index, calibration plots, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). Immunohistochemically approach was used to identify the expression of the novel target (GPC3).ResultsIn the Cox analysis for advanced OCCC, age (45–65 years), tumor numbers (total number of in situ/malignant tumors for patient), T3-stage, bilateral tumors, and liver metastases could be defined as prognostic variables. Nomogram showed good predictive power and clinical practicality. Compared with OSC, liver metastases had a stronger impact on the prognosis of patients with OCCC. T3-stage, positive distant lymph nodes metastases, and lung metastases were risk factors for developing liver metastases. Chemotherapy was an independent prognostic factor for patient with advanced OCCC, but had no effect on CSS in patients with liver metastases (p = 0.0656), while surgery was significantly related with better CSS in these patients (p < 0.0001) (p = 0.0041). GPC3 expression was detected in all tissue sections, and GPC3 staining was predominantly found in the cytoplasm and membranes.ConclusionAdvanced OCCC and OCCC with liver metastases are two types of high-risk OCCC. The constructed nomogram exhibited a satisfactory survival prediction for patients with advanced OCCC. GPC3 immunohistochemistry is expected to accumulate preclinical evidence to support the inclusion of GPC3 in OCCC targeted therapy.

Predictors of endocrine immune-related adverse events (irAEs) in patients treated with immune checkpoint inhibitors (ICI) in routine clinical practice.

e14713 Background: Endocrine irAEs have been reported in association with various ICI and are characterized by their correlation with improved survival outcomes. A growing clinical comprehension of endocrine irAEs has facilitated the development of effective treatment strategies involving hormone replacement, which has been shown to enhance patients' quality of life. This study aims to evaluate outcomes in patients (pts) experiencing endocrine irAEs and identify predictive factors for their occurrence. Methods: This retrospective cohort study comprised 214 adult pts with solid malignant tumors who underwent ICI, either as monotherapy or in combination with other chemotherapeutic agents, at the SBIH Moscow Clinical Scientific and Practical Center named after A.S. Loginov of DHM. Results: Between June 2016 and January 2023, 214 pts were included in the study (46.3% female, 53.7% male). The median age was 62.6 years (range 32–91). At the data cut-off (1 February 2024) the median overall survival (OS) for the analyzed population was 34,5 months (95%CI 21,15-43,91). No significant difference in median OS was observed between pts with overall endocrine irAEs and those exhibiting specific manifestations, such as hypocortisolism and destructive diabetes mellitus. However, thyroid irAEs were associated with improved median OS: 27.5 months compared to 22.6 months in those without (p=0.037); RR=1.39 (95%CI 1.025-1.89; p=0.036). The grade of endocrine irAEs did not impact the survival benefit. A significant association was observed between age group and endocrine irAEs (Pearson’s χ2=9.92, p=0.019), with a left-skewed age distribution due to a higher proportion of participants aged 32–44 years among those developing endocrine irAEs. Pts with nodular goiter had a 2.91 times higher risk of developing thyroiditis (95%CI 1.03–8.25), although this did not reach statistical significance (p=0.067). Calcium channel blockers were associated with an increased risk of developing thyroid irAEs (RR=1.54, 95%CI 1.09–2.19; p=0.036). Antihistamine use was a robust predictor of hypothyroidism with a RR=1.68 (95%CI 1.05–2.7, p=0.04). Initial derived neutrophil-to-lymphocyte ratio (dNLR) ≥3 predict the development of endocrine irAEs (Pearson χ2=4.02; p=0.045) as well as dNLR&gt;2.2 (Pearson χ2=4.22, p=0.04). Conclusions: Thyroid irAEs are correlated with improved OS. Predictors of endocrine irAEs may include young age (32-44 years), calcium channel blocker or antihistamine use, dNLR ≥3, or dNLR &gt;2.2. Prospective trials are warranted to validate these findings.

Impact of comorbidity on surgical management of breast cancer in elderly patients.

e12596 Background: More than half of breast cancers are diagnosed above the age of 60 years, a quarter of which diagnosed with invasive breast cancer among those over 75 years of age. Treatment of breast cancer (BC) at this age remains a complex problem. Elderly patients often have various comorbidities that impose increased risks of complications with antitumor treatment. This leads to both excessive and insufficient treatment of BC. In patients over 75 years of age, an individual approach to treatment is recommended, taking into account their general health and life expectancy, the risk of death from breast cancer compared to other causes, as well as the advantages and disadvantages of treatment methods. Objective: To evaluate the influence of comorbidity on the risks of complications (early and delay) after surgical treatment in elderly and senile patients (pts). Methods: A retrospective analysis of the results of breast cancer treatment in 292 pts over 75 years of age, who underwent surgical treatment at the first stage in SBIH Moscow Clinical Scientific and Practical Center named after A.S. Loginov of DHM from 2016 to 2019. The initial stages of breast cancer (I and IIA) were diagnosed in 257 (88.0%) pts, 35 pts (12.0%) has IIB and IIIA clinical stages. Radical mastectomy was performed in 171 (58.6%) cases, breast-conserving surgery was performed in the remaining 121 (41.4%). Forty-six (15.8%) patients had diabetes mellitus, 121 (41.4%) had cardiovascular disease, 36 (12.3%) had heart rhythm disorders, 38 (13.0%) had chronic cerebral ischemia, and the risk of grade 3 and 4 cardiovascular complications was found in 251 (86.0%) cases. Results: In the early postoperative period severe complications occurred in 1 (1.7%) patient (acute coronary syndrome) leading to death. No local recurrences were detected. The overall 3-year survival rate was 86.3% and the recurrence-free survival rate was 89.7%. In 10 (3.4%) cases, death was due to progression of RRMS, 30 (10.3%) patients died from other causes (acute cardiovascular failure, stroke, COVID-19). Conclusions: Comorbid conditions in elderly patients after surgery did not affect the development of complications in the early postoperative period. Preliminary preoperative preparation of elderly patients (correction and selection of drug therapy for concomitant chronic diseases) reduces the risk of early postoperative complications.

Operational Impact of Neurology Rural Access Model: Reflections on the Importance of Demand-Shaping.

Demand for specialty neurologic care has been steadily increasing over the past several decades, and health systems are needing to meet the demands of their patients while managing a dwindling workforce. This retrospective study investigates the operational impact of a regional neurology clinic staffed by advanced practice providers with remote physician oversight in a "hub and spoke" delivery model to serve lower complexity patients. A retrospective, cross-sectional study was conducted to evaluate outcomes. Descriptive analysis of referral volumes, cancellation/no-show rates, and patient complexity as determined by the reason for referral were used to evaluate patients who received referrals from rural counties north of the primary neurology practice before and after the opening of the regional clinic. These metrics were evaluated longitudinally from counties of interest and for differences in patients seen at the regional clinic vs primary neurology practice. Referral volumes from the northern counties increased at significantly higher rates after the opening of the regional clinic than other counties in the serviced area. This resulted in an increase in patients seen in the hub clinics and spoke clinic. The regional clinic did see patients who were less complex than the primary practice; however, the total volume of low-complexity patients scheduled at the primary practice did not decrease. Cancellation and no-show rates did not seem to be affected in either clinic. The opening of a regional "spoke" clinic resulted in the generation of greater referral volumes that exceeded the capacity created by the clinic. Owing to this, there was an increase in the number of patients seen from the regional counties in the hub clinics, negating the potential benefit of improving access for high-complexity patients. Importance of demand-shaping and appropriate utilization as part of the value equation are discussed, followed by discussion of mitigation strategies.

Association of childhood trauma with choice of bilateral mastectomy for the treatment of unilateral breast cancer.

e24096 Background: Patients are increasingly choosing bilateral mastectomy (BMX) for the treatment of primary breast cancer (BC) despite minimal survival benefits and potential for adverse medical and psychosocial consequences. Exposure to childhood trauma is associated with dysregulation of stress response systems, threat perception alterations, increased risk-taking behaviors, and body dissatisfaction. We examined childhood trauma in relation to treatment decision-making in adulthood within a sample of breast cancer patients undergoing either BMX or more conservative BC treatment. Methods: Secondary analyses of a case-control study of the neurobiological and affective determinants of BMX choice were conducted. Cross-sectional data from the baseline survey were analyzed. Participants were recruited via institutional clinic practices, social media, and patient advocacy groups. Patients completed a medical status questionnaire and the Childhood Trauma Questionnaire (CTQ). Chi-square and Mann-Whitney U tests examined differences in treatment decision-making by childhood trauma exposure and type. Results: The sample included 137 patients with unilateral stages 0-III BC (mean age 49.2; SD = 11.2; 76.6% White; 10.9% Hispanic/Latina; 68.6% married). Seven tested positive for a BRCA gene mutation. Patients were divided between BMX (n = 66) and non-BMX (n = 71) treatment groups. On average, patients in the non-BMX group reported higher levels of childhood trauma severity (Median = 7; IQR = 0-12.5) compared to patients in the BMX group (Median = 4; IQR = 0-11.75; Mann Whitney U = 4728; small effect size; SRD = -0.11; p = .26). Patients who reported a major parental upheaval (e.g., divorce, separation) were significantly more likely to pursue non-BMX compared to BMX (small effect size; SRD = -.16; p = .047). Patients who reported any uncategorized major upheaval were more likely to choose non-BMX than BMX (small effect size; SRD = -.14), but group differences did not reach significance (p = .093) . No other statistically significant relationships were observed. Conclusions: Contrary to hypotheses, preliminary results suggest BC patients who were exposed to traumatic events in childhood may be more likely to elect conservative BC surgical treatments. Trauma-related hypervigilance to threats may cause patients to exercise more caution regarding treatment choice. More research exploring the effects of adverse childhood experiences in the BC population is warranted. [Table: see text]

Establishment and validation of prediction model for atherosclerotic cardiovascular disease in patients with hyperuricemia.

To construct a risk prediction model for atherosclerotic cardiovascular disease (ASCVD) in patients with hyperuricemia. Data in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) (2007-2010). Participants from Huashan Hospital were included as an external validation. Logistic regression analysis was used to explore the relevant factors of ASCVD in patients with hyperuricemia. The discriminability of the model was evaluated using the area under the curve (AUC) statistic of the receiver operating characteristic curve. Hosmer-Lemeshow test, correction curve and decision curve analysis (DCA) were used to evaluate the model. A total of 389 patients collected from the NHANES were included in the final analysis. Logistic regression analysis showed that age, creatinine (Cr), glucose (Glu), serum uric acid (SUA), and history of gout were predictive factors for ASCVD in hyperuricemia (HUA) patients. These predictive factors were used to construct a nomogram. And 157 patients from NHANES were in the internal validation group and 136 patients from Huashan Hospital were in the external validation group. The AUC values of the three groups were 0.943, 0.735, and 0.664. The p values of the Hosmer-Lemeshow test were .568, .600, and .763. The calibration curve showed consistency between the nomogram and the actual observed values. The DCA curve indicated that the model has good clinical practicality. This study constructed the ASCVD risk prediction model for HUA patients, which is beneficial for medical staff to detect high-risk populations of ASCVD in the early stage.

Impact of molecular ciprofloxacin resistance testing in management of gonorrhoea in a large urban clinic

ObjectivesAntibiotic resistance in gonorrhoea is of significant public health concern with the emergence of resistance to last-line therapies such as ceftriaxone. Despite around half of Neisseria gonorrhoeae isolates tested in...

Healthcare professionals' perspectives on use of PCSK9 inhibitors in cardiovascular disease: an in-depth qualitative study.

Injectable medicines such as PCSK-9 inhibitors are increasingly used to manage risk factors for cardiovascular events with little information around the perceptions of healthcare professionals (HCPs) on the administrative and clinical practicalities. The aim was to identify the facilitators and barriers on the use of injectable therapies with CV benefits through interviews with HCPs. Qualitative interviews were conducted in the United Kingdom (London and Leeds) and Italy (Rome and Milan) in 2021. Coding was undertaken using NVivo and thematic analysis performed. A total of 38 HCPs were interviewed, 19 in each country composing of physicians (n = 18), pharmacists (n = 10), nurses (n = 9) and pharmacy technician (n = 1). Four themes emerged: (i) Clinicians' previous experiences with injectable therapies (ii) Challenges with patients' behaviours and beliefs (iii) Clinicians' knowledge of injectable therapies and therapeutic inertia and (iv) Organisational and governance issues. The behaviour and beliefs from healthcare professionals focused on facilitating behaviour change as well as the poor interdisciplinary working and collaboration. Therapeutic inertia was raised where physicians either lacked awareness of injectable therapies or were unwilling to prescribe them. The importance of facilitating patient education on injection techniques was highlighted while organisational and governance issues identified the lack of guidance to inform practice. Clear pathways are required to identify those who were eligible for injectable therapies as well as on how injectables should be prescribed. If medicine optimisation is to be achieved, there needs to be structured processes in place to identify eligible patients and the development of educational material.

Facilitating Culturally Competent Breast Imaging Care in South Asian Patients.

South Asians are a rapidly growing subset of the Asian population in the United States. They comprise people from multiple countries with diverse beliefs, languages, and cultural identities and values. The incidence of breast cancer is rising in South Asian women in the United States, with earlier onset and predilection for HER2-enriched tumors. Despite the rising incidence of breast cancer, participation in screening remains lower than other populations. Health care inequities in South Asian women are multifactorial and may be due to traditional health beliefs and practices, language barriers, cultural differences, and lack of overall awareness. Developing a culturally sensitive environment in breast imaging clinic practice can lead to improved patient care and adherence. Given the scarcity of data specific to the South Asian population in United States, there is a need for health service researchers and practice leaders to obtain more high-quality data to understand the needs of South Asian patient populations.

Development and validation of a nomogram for predicting high-burnout risk in nurses.

To develop a predictive model for high-burnout of nurses. A cross-sectional study. This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software. A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets. This study has developed and validated a predictive nomogram for identifying high-burnout in nurses. The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully. The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation. No patient or public contribution.

Classification of paclitaxel-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning

Progress has been made in chemotherapy drugs, but drug resistance remains a major challenge in cancer treatment. In clinical practice, although there are existing technologies to assess chemotherapy resistance, there is still a lack of rapid and convenient method to monitor different degrees of drug resistance in cancer cells. Furthermore, the cell morphological changes during the progression of drug resistance remain to be fully understood. In this study, we employed a flow imaging platform based on digital holography (DH) and machine learning to classify cancer cells with different degrees of paclitaxel sensitivity. We extracted 112 morphological features from four datasets of single-cell quantitative phase images of epithelial ovarian cancer (EOC) cells and performed classification training using five supervised machine learning algorithms. Both support vector machine (SVM) and neural network (NN) achieved over 90% classification accuracy. To understand the morphological features associated with drug resistance properties of cancer cells, we applied the SHapley Additive exPlanations (SHAP), a model interpretation framework, to quantify and rank the feature contributions for both classification models. The results reported here about this label-free and high-accuracy assessment of different degrees of drug resistance in cancer cells opens the route to exploitation for monitoring chemotherapy in clinic practices.

Causal associations between sarcopenia-related traits and intervertebral disc degeneration: a two-sample mendelian randomization analysis.

Sarcopenia (SP) and intervertebral disc degeneration (IVDD) have a higher incidence in the elderly population. Previous studies have indicated a potential association between SP and IVDD. The objective of this study is to elucidate the potential causal relationship between sarcopenia-related traits and IVDD through Two-sample Mendelian randomization (MR) analysis. We utilized a genome-wide association study conducted on the European population to collect aggregated data on sarcopenia and IVDD. Inverse variance weighting was primarily employed, supplemented by MR Egger, weighted median, simple model, and weighted model methods. Additionally, sensitivity analysis was performed to assess the robustness of the findings. Appendicular lean mass is positively associated with "Other intervertebral disc disorders" (OIDD) and "Prolapsed or slipped disc" (POSD) (OIDD: p = 0.002, OR = 1.120; POSD: p < 0.001, OR = 1.003), while grip strength (GS) is positively associated with POSD (left: p = 0.004, OR = 1.008; right: p < 0.001, OR = 1.010). It is worth mentioning that walking pace has significant causal relationship with "Low back pain" (LBP), "Lower back pain or/and sciatica" (LBPOAS), "Sciatica with lumbago" (SWL) and OIDD (LBP: p < 0.001, OR = 0.204; LBPOAS: p < 0.001, OR = 0.278; SWL: p = 0.003, OR = 0.249; OIDD: p < 0.001, OR = 0.256). The present study revealed the causal relationship between SP-related traits and IVDD and recommended to prevent and treat sarcopenia as a means of preventing IVDD in clinic practice.

Economic evaluation alongside a clinical trial of near-to-patient testing for sexually transmitted infections

BackgroundCurrent clinical care for common bacterial STIs (Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG) and Mycoplasma genitalium (MG)) involves empiric antimicrobial therapy when clients are symptomatic, or if asymptomatic, waiting for laboratory testing and recall if indicated. Near-to-patient testing (NPT) can improve pathogen-specific prescribing and reduce unnecessary or inappropriate antibiotic use in treating sexually transmitted infections (STI) by providing same-day delivery of results and treatment. MethodsWe compared the economic cost of NPT to current clinic practice for managing clients with suspected proctitis, non-gonococcal urethritis (NGU), or as an STI contact, from a health provider’s perspective. With a microsimulation of 1000 clients, we calculated the cost per client tested and per STI- and pathogen- detected for each testing strategy. Sensitivity analyses were conducted to assess the robustness of the main outcomes. Costs are reported as Australian dollars (2023). ResultsIn the standard care arm, cost per client tested for proctitis, NGU in men who have sex with men (MSM) and heterosexual men were the highest at $247.96 (95% Prediction Interval (PI): 246.77–249.15), $204.23 (95% PI: 202.70–205.75) and $195.01 (95% PI: 193.81–196.21) respectively. Comparatively, in the NPT arm, it costs $162.36 (95% PI: 161.43–163.28), $158.39 (95% PI: 157.62–159.15) and $149.17 (95% PI: 148.62–149.73), respectively. Using NPT resulted in cost savings of 34.52%, 22.45% and 23.51%, respectively. Among all the testing strategies, substantial difference in cost per client tested between the standard care arm and the NPT arm was observed for contacts of CT or NG, varying from 27.37% to 35.28%. ConclusionWe found that NPT is cost-saving compared with standard clinical care for individuals with STI symptoms and sexual contacts of CT, NG, and MG.

Nomogram for predicting the risk of postoperative delirium in elderly patients undergoing orthopedic surgery

ObjectiveTo retrospectively analyze the risk factors for postoperative delirium (POD) after orthopedic surgery in elderly patients and establish an individualized nomogram to predict the risk of POD.MethodsThe data of 1011 patients who underwent orthopedic surgery from January 2019 to January 2022 were retrospectively analyzed. Univariate and multivariate logistic analyses were used to screen for independent risk factors. Stepwise regression was conducted to screen risk factors to construct a nomogram to predict the risk of POD after orthopedic surgery in elderly individuals, and nomogram validation analyses were performed.ResultsThe logistic regression results showed that age (≥ 75 years old vs. < 75 years old; odds ratio (OR) = 2.889; 95% confidence interval (CI), 1.149, 7.264), sex (male vs. female, OR = 2.368; 95% CI, 1.066, 5.261), and preoperative cognitive impairment (yes vs. no, OR = 13.587; 95% CI, 4.360, 42.338) were independent risk factors for POD in elderly patients who underwent orthopedic surgery (P < 0.05). A nomogram was constructed using 7 risk factors, i.e., age, American Society of Anesthesiologists (ASA) classification, sex, preoperative hemoglobin (Hb), preoperative pulmonary disease, cognitive impairment, and intraoperative infusion volume. The area under the curve (AUC) showed good discrimination (0.867), the slope of the calibration curve was 1.0, and the optimal net benefit of the nomogram from the decision curve analysis (DCA) was 0.01–0.58.ConclusionThis study used 7 risk factors to construct a nomogram to predict the risk of POD after major orthopedic surgery in elderly individuals, and the nomogram had good discrimination ability, accuracy, and clinical practicability.

A novel nomogram based on inflammation biomarkers for predicting radiation cystitis in patients with local advanced cervical cancer.

Platelet-to-albumin ratio (PAR) is a new systemic inflammatory prognostic indicator associated with many inflammatory diseases. However, its role in radiation cystitis (RC) is obscure. This study aimed to explore whether PAR could be used as an effective parameter for predicting the RC risk in local advanced cervical cancer (CC) treated with radiotherapy. A total of 319 local advanced CC patients who received radical radiotherapy at Fujian Cancer Hospital were enrolled between December 2018 and January 2021. Demographics and clinical parameters were retrospectively analyzed. Univariate and multivariate analyses were used to identify the risk factors for RC. Backward and stepwise regression was applied to construct two monograms-one with primary significant factors and the other with extra inflammatory biomarkers. A DeLong test was applied to compare the prediction abilities of two nomograms. Calibration curves and decision curve analysis (DCA) evaluated its prediction consistency, discrimination ability, and clinical net benefit. Univariate analysis showed that age, tumor size, stage, total radiation dose, pelvic radiation dose, Systemic Immune-Inflammation Index (SII), platelet-to-lymphocyte ratio (PLR), and PAR were significantly associated with RC occurrence (all p < 0.05). Multivariate analyses indicated that age, tumor size, stage, total radiation dose, and PAR were independent factors (all p < 0.05). Then, the area under curve (AUC) value of the nomogramSII+PAR was higher (AUC = 0.774) compared to that of the baseline nomogram (AUC = 0.726) (pDelong = 0.02). Also, the five-cross validation confirmed the stability of the nomogramSII+PAR. Moreover, the calibration curve and DCA exhibited the nomograms' good prediction consistency and clinical practicability. PAR and SII could be valued for CC patients who are treated with radiation therapy. The nomogram based on PAR and SII could stratify patients who need extra intervention and nursing care to prevent bladder radiation damage and improve patients' quality of life.

The Scope of Practice of an Outpatient Pediatric Palliative Care Oncology Clinic

The Scope of Practice of an Outpatient Pediatric Palliative Care Oncology Clinic

Multiplex Digital PCR-Based Development and discussion of the Detection of Genetic Association Between Staphylococcus aureus and mecA.

Methicillin-resistant Staphylococcus aureus (MRSA) is a predominant nosocomial infection-causing bacteria. The aim of this study was to develop a novel single-bacteria multiplex digital PCR assays (SMD-PCR), which is capable of simultaneously detecting and discriminating Methicillin-sensitive Staphylococcus aureus (MSSA) and MRSA. This protocol employed TaqMan probes to detect SAOUHSC_00106 and mecA genes, with the latter being linked to methicillin resistance. A total of 72 samples from various specimen types were evaluated. The accuracy rates for the sputum samples, pus samples, swab samples, ear secretion samples, and catheter samples were 94.44%, 100%, 92%, 100%, and 100%, respectively. Our results showed that the clinical practicability of SMD-PCR has applicability to the rapid detection of MRSA without DNA extraction or bacterial culture, and can be utilized for the rapid detection of Staphylococcus aureus and the timely identification of MRSA in clinical samples, thereby providing an advanced platform for the rapid diagnosis of clinical MRSA infection.

Machine learning models for prediction of postoperative venous thromboembolism in gynecological malignant tumor patients.

To identify risk factors that associated with the occurrence of venous thromboembolism (VTE) within 30 days after hysterectomy among gynecological malignant tumor patients, and to explore the value of machine learning (ML) models in VTE occurrence prediction. A total of 1087 patients between January 2019 and January 2022 with gynecological malignant tumors were included in this single-center retrospective study and were randomly divided into the training dataset (n = 870) and the test dataset (n = 217). Univariate logistic regression analysis was used to identify risk factors that associated with the occurrence of postoperative VTE in the training dataset. Machine learning models (including decision tree (DT) model and logistic regression (LR) model) to predict the occurrence of postoperative VTE were constructed and internally validated. The incidence of developing 30-day postoperative VTE was 6.0% (65/1087). Age, previous VTE, length of stay (LOS), tumor stage, operative time, surgical approach, lymphadenectomy (LND), intraoperative blood transfusion and gynecologic Caprini (G-Caprini) score were identified as risk factors for developing postoperative VTE in gynecological malignant tumor patients (p < 0.05). The AUCs of LR model and DT model for predicting VTE were 0.722 and 0.950, respectively. The ML models, especially the DT model, constructed in our study had excellent prediction value and shed light upon its further application in clinic practice.

Prolidase Enzyme Activity in Endometrial Polyps and Its Relationship with Oxidative Stress

Endometrial polyp (EP) is a condition that is often encountered in obstetrics and gynecology clinic practices. In our study, we aimed to reveal the relationship between prolidase enzyme activity (PEA) and Oxidative Stress (OS) in patients with endometrial polyps. Thirty-five patients who were histopathologically diagnosed with EP and 35 patients with abnormal uterine bleeding (AUB) without pathology as a result of endometrial sampling were included in the control group. Serum TOS, OSI, tissue PEA, and endometrial thickness values were found to be statistically significantly higher in the EP group compared to the control group. We believe that our study, when supported by studies with larger patient groups, may be a useful marker for a more detailed understanding of the pathogenesis and clinical follow-up of patients.

Hepatic Pecoma versus Hepatocellular Carcinoma In The Noncirrhotic Liver on Gd-EOB-DTPA-Enhanced MRI: A Diagnostic Challenge.

Hepatic perivascular epithelioid cell tumors (PEComa) often mimic hepatocellular carcinoma (HCC) in patients without cirrhosis. This study aimed to develop a nomogram using imaging characteristics on Gd-EOB-DTPA-enhanced MRI and to distinguish PEComa from HCC in a noncirrhotic liver. Forty patients with non-cirrhotic Gd-EOB-DTPA-enhanced magnetic resonance imaging(MRI) were included in our study. A multivariate logistic regression model was used to select significant variables to distinguish PEComa from HCC. A nomogram was developed based on the regression model. The performance of the nomogram was assessed with respect to the ROC curve and calibration curve. Decision curve analysis (DCA) was performed to evaluate the clinical usefulness of the nomogram. Two significant predictors were identified: the appearance of an early draining vein and the T1D value of tumors. The ROC curve showed that the area under the curve (AUC) of the model to predict the risk of PEComa was 0.91 (95% CI: 0.80~1) and showed that the model had high specificity (92.3%) and sensitivity (88.9%). The nomogram incorporating these two predictors showed favorable calibration, which was validated using 1000 resampling procedures, and the corrected C-index of this model was 0.90. Furthermore, DCA analysis showed that the model had clinical practicability. In conclusion, the nomogram model showed favorable predictive accuracy for distinguishing PEComa from HCC in non-cirrhotic patients and may aid in clinical decision-making.