This study aims to determine the prevalence of erectile dysfunction (ED) and identify its associated risk factors among young and middle-aged Filipino male patients diagnosed with diabetes mellitus. This study utilized a cross-sectional design to investigate the prevalence and associated factors of ED among male patients with diabetes. A total of 423 participants were recruited from clinical settings using purposive sampling. Data were collected using structured interviews and medical records, including demographics, comorbidities and laboratory results. Among 423 male diabetic patients, 78% were found to have ED. Patients with ED were significantly older (median: 49.5 versus 42 years, p<0.001), had higher body mass index (BMI), longer diabetes duration and more comorbidities. Univariable logistic regression showed that age (OR: 1.06, p<0.001), diabetes duration (OR: 1.11, p<0.001), hypertension (OR: 1.62, p = 0.042), dyslipidemia (OR: 1.75, p = 0.022), elevated HbA1c (>9.0%; OR: 3.43, p = 0.034) and serum creatinine (OR: 1.01, p = 0.008) were significantly associated with ED. However, none remained significant in the multivariable model. Male Filipino patients with diabetes have a significant burden of ED. Results of the univariable models show that age, duration of diabetes, hypertension, dyslipidemia, HbA1c and serum creatinine are significant individual predictors of ED.

Human ; Male ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Aged: 65-79 Yrs Old ; Tertiary Care Centers ; Risk Factors ; Risk ; Medical Records ; Erectile Dysfunction ; Diabetes Mellitus ; Philippines

BACKGROUND

Diabetic retinopathy (DR) remains to be the leading cause of blindness worldwide. Traditionally, risk factors such as diabetes duration, HbA1c levels, hypertension and dyslipidemia have been closely linked to the development of this condition. However, recent research suggests that these factors account for only a portion of DR cases. Emerging studies highlight additional potential risk factors including diabetic nephropathy, insulin use, and body mass index -though data on these factors remain limited and at times contradictory. While there have been a few local studies exploring some of these variables, none have comprehensively examined how these factors collectively influence the occurrence and severity of diabetic retinopathy. This study aims to asses both the factors associated with presence and occurrence of diabetic retinopathy.

METHODOLOGY

This analytical cross-sectional study included patients with diabetes (n=201, aged 18 years and older) who underwent fundus photography at The Medical City Ortigas between January 1, 2022, and December 31, 2022. Data collection involved a thorough review of patient records, which provided demographic information and details on potential risk factors. The presence and severity of diabetic retinopathy (DR) were assessed based on fundus photography results, as interpreted by ophthalmologists. To evaluate the statistical significance of the association between risk factors and DR status, logistic regression analysis was done

RESULTS

Duration of diabetes (odds ratio [OR] 1.07; 95% CI, 1.01-1.13 per year increase), HBA1c (OR 1.4; 95% CI, 1.1-1.86),
fasting blood sugar (OR 1.4; 95% CI, 0.977-0.998), hypercholesterolemia (OR 5.02; 95% CI 1.67-16.44) and presence of
nephropathy (OR 3.39; 95% CI 1.49-8) were correlated with diabetic retinopathy.

CONCLUSION

The presence of diabetic retinopathy was significantly associated with several clinical factors. Each additional year of diabetes mellitus duration was associated with a 1.07-fold increase in the likelihood of DR. Additionally, each 1% increase in HbA1c was linked to a 1.40-fold increase in DR risk. The presence of diabetic nephropathy and hypercholesterolemia were also strong predictors, associated with a 3.39-fold and 5-fold increase in the likelihood of DR, respectively. Glycemic control, dyslipidemia and nephropathy appear to be associated with more severe forms of diabetic retinopathy. Clinicians handling diabetes patients with this patient profile should be wary of this diabetes complication.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Diabetic Retinopathy ; Hospitals ; Risk ; Risk Factors ; Tertiary Care Centers

BACKGROUND

Early-stage endometrial cancer often presents with favorable survival rates, but high-risk factors, including TP53 mutations and high-grade serous pathology, can lead to recurrence and poor prognosis. The standard primary treatment for endometrial cancer is surgical staging, and lymph node metastases significantly impact adjuvant therapy decisions. The subgroup of p53-abnormal (p53abn) indicates the worst prognosis and potential benefits from adjuvant chemotherapy. Molecular classification, while recommended, faces practical challenges due to resource constraints.

OBJECTIVES

The study aimed to assess the incidence of p53 abnormal expression in clinical stage 1 endometrial cancer cases that underwent surgery at a government tertiary hospital, and assess its relationship with clinicopathologic factors and pelvic and paraaortic lymph node metastasis (LNM).

METHODS

A cross-sectional retrospective analysis was conducted on clinical early-stage endometrial cancer cases that underwent surgical primary treatment between January 2018 and December 2022. Patient records were reviewed to gather demographics, surgical information, and pathological evaluations. Preoperative clinical staging was determined through imaging, and surgical staging involved comprehensive lymphadenectomy. Immunohistochemistry studies for p53 were carried out on formalin-fixed paraffin-embedded tissue samples.

RESULTS

A total of 233 endometrial cancer cases were included. The mean age at diagnosis was 53.7 years. Common comorbidities included hypertension (47.2%) and dyslipidemia (20.6%). Most cases were endometrioid histology (82.8%) and low-grade tumors (85.8%). Tumor grade (p=0.010), myometrial invasion (pCONCLUSION

Tumor grade, myometrial invasion, and LVSI were all significantly associated with lymph node involvement. While p53 immunohistochemical stains show promise in predicting metastasis and has been associated with tumor aggressiveness, this should still be correlated with clinicopathological parameters to carry out a more accurate risk stratification of early-stage patients.

Therapeutics ; Survival Rate ; Risk Factors ; Recurrence ; Prognosis ; Pathology ; Endometrial Neoplasms ; Immunohistochemistry ; Tumor Suppressor Protein P53 ; Lymph Node Excision ; Risk Assessment

OBJECTIVE: To assess the association of single nucleotide polymorphisms of rs700519 and rs4646 loci of cytochrome P450 19A1 (CYP19A1) gene with risk of Breast cancer. METHODS: Two hundred patients with breast cancer treated at Xinxiang Central Hospital between January 2019 and January 2024 and 100 healthy individuals were enrolled as the study group and control group, respectively. The genotypes of the CYP19A1 gene at the rs700519 and rs4646 loci were determined by direct sequencing. The general data, distribution of CYP19A1 genotypes and alleles were compared between the two groups. This study has been approved by the Medical Ethics Committee of Xinxiang Central Hospital (Ethics No. 2021-182). RESULTS: No significant difference was found in age, body mass index, times of conception and proportion of menopause between the two groups (P > 0.05). The frequencies of AA genotype and A allele at the rs700519 locus, and the CC genotype and C allele at the rs4646 locus in the study group were significantly higher than those of the control group (P < 0.05). The frequencies of AA genotype at the rs700519 locus and CC genotype at the rs4646 locus in patients with breast cancer at stages III-IV were significantly higher than those at stage I-II (P < 0.05). CONCLUSION Polymorphisms of CYP19A1 gene at the rs700519 and rs4646 loci are associated with susceptibility of breast cancer. The AA and CC genotypes at the two loci may increase the risk for breast cancer.
Humans ; Female ; Breast Neoplasms/genetics* ; Aromatase/genetics* ; Polymorphism, Single Nucleotide/genetics* ; Middle Aged ; Genetic Predisposition to Disease ; Adult ; Genotype ; Case-Control Studies ; Alleles ; Gene Frequency ; Risk Factors ; Aged

OBJECTIVE: To introduce the etiology and prevention of bone cement implantation syndrome (BCIS). METHODS: The literature about BCIS at home and abroad in recent years was extensively reviewed, and the incidence, clinical manifestations, etiology, and prevention of BCIS were summarized and analyzed. RESULTS: The clinical manifestations of BCIS are diverse. The etiology of BCIS is not completely clarified, and it may be related to circulating methyl methacrylate-mediated model, embolus-mediated model, histamine release and hypersensitivity response, complement activation and multimodal model. BCIS prevention begins with the identification of high-risk patients in preoperative evaluation and communication between surgeon and anesthesiologist about the choice of implant type, surgical procedure, and technique to minimize the risk of cardiovascular complications in high-risk patients with multiple or severe risk factors or comorbidities. Preoperative assessment and optimization of a patient's cardiovascular reserve is also critical to prevent BCIS. CONCLUSION BCIS is a possible complication after hip joint arthroplasty, and its pathogenesis needs to be further research in order to provide new ideas for prevention and treatment.
Humans ; Bone Cements/adverse effects* ; Postoperative Complications/etiology* ; Arthroplasty, Replacement, Hip/adverse effects* ; Risk Factors ; Syndrome ; Methylmethacrylate/adverse effects*

OBJECTIVE: To analyze the demographic and clinical characteristics of inpatients with osteoporotic vertebral compression fractures (OVCF) and provide a basis for clinical prevention and treatment. METHODS: A retrospective analysis was performed on the clinical data of 744 inpatients diagnosed with OVCF between January 2017 and December 2021 who met the inclusion criteria. Among them, 146 were male and 598 were female, with age ranging from 50 to 95 years (mean, 69.37 years). The demographic characteristics (gender, age, ethnicity, occupation, regional distribution, urban-rural distribution, and seasonal incidence) and clinical features [causes of injury, history of vertebral fractures, smoking and drinking history in males, comorbidities (hypertension, diabetes, coronary atherosclerotic heart disease, cerebral infarction), body mass index (BMI), blood lipid levels, menopausal age in females, vertebral bone mineral density T-value, number of vertebral fractures, and fracture segment distribution] of OVCF patients were analyzed. Multiple linear regression was used to analyze the independent risk factors of vertebral osteoporosis. RESULTS: The demographic analysis indicated that female patients with OVCF were significantly younger than male patients ( P<0.05). Significant differences were observed in the age distribution of OVCF between males and females ( P<0.05), with the highest proportion of male patients in the 70-79 years group (37.0%) and the highest proportion of female patients in the 60-69 years group (40.0%). From 2017 to 2021, the age of onset for OVCF gradually increased, with a similar trend observed for both genders. The distribution of occupations between genders also showed significant differences ( P<0.05); with the top three occupations for males being farmers (48.6%), retirees (24.7%), and workers (13.7%), while for females, the leading occupations were farmers (51.5%), retirees (19.4%), and service workers (10.0%). Female OVCF patients had higher BMI, vertebral bone mineral density T-value, history of vertebral fractures, hypertension prevalence, and blood lipid levels compared to male patients ( P<0.05). No significant difference between the males and the females was found in ethnicity, seasonal distribution, regional distribution, urban-rural distribution, causes of injury, number of vertebral fractures, or prevalence of comorbidities (except hypertension) ( P>0.05). Among the 744 OVCF patients, a total of 1 309 vertebrae were involved, with 628 thoracic vertebrae (48.0%) and 681 lumbar vertebrae (52.0%). The most common fracture segments were L ₁ (22.5%), T ₁₂ (21.2%), followed by L ₂ (12.2%) and T ₁₁ (10.2%). No significant gender difference was observed in the distribution of fracture segments ( P>0.05). Multiple linear regression analysis indicated that older age, female, and lower BMI were independent risk factors for vertebral osteoporosis ( P<0.05). CONCLUSION The age of onset of OVCF patients is increasing year by year. The number of fractured vertebral bodies, age distribution of morbidity, occupational distribution, BMI, history of vertebral fracture, hypertension, and blood lipid levels are related to gender. The occurrence of OVCF is mainly in the thoracolumbar segment. The female, older age, and lower BMI are independent risk factors of osteoporosis.
Humans ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Spinal Fractures/etiology* ; Aged, 80 and over ; Osteoporotic Fractures/etiology* ; Fractures, Compression/etiology* ; Risk Factors ; Bone Density ; China/epidemiology* ; Osteoporosis/epidemiology* ; Comorbidity ; Inpatients ; Sex Factors ; Age Factors

OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). METHODS: A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree, random forest, logistic regression, support vector machine, extreme gradient boosting, and light gradient boosting machine, were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHapley Additive exPlanations (SHAP) values were employed to interpret and rank the importance of individual variables. RESULTS: According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95% CI (0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95% CI (0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. CONCLUSION Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti-cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Arthritis, Rheumatoid/blood* ; Machine Learning ; Postoperative Complications/blood* ; Female ; Male ; Retrospective Studies ; Middle Aged ; Aged ; Risk Factors ; Preoperative Period ; C-Reactive Protein/analysis* ; Risk Assessment

OBJECTIVE: To investigate the effects of bone density, plate bending degree and proximal screw type on the stress fracture of clavicle hook. METHODS: Three sows weighing between 45 and 50 kg were selected, from which a total of 40 rivs were collected. The 15 ribs of sows were divided into 3 groups according to bone density and bone hardness with 5 rivs in each group. And then the 3 groups were fixed with 6-hole collarbone hook plates and 3 locking screws. Measure the maximum torsion force when the ribs were fractured by force. The same size 15 rids were divided into 3 groups, named forward bending group, 0° group(the angle between the plate surface and the rib surface) and reverse bending group. All fixed with 6-hole collarbone hook plates and locking screws to measure the maximum torsion force of rib stress fracture. Then the same size 10 rids were divided into 2 groups, the normal screw group and the locking screw group with 5 ribs in each group. Both groups were fixed with 6-hole collarbone hook plates and screws. The normal screw group was a normal screw, fixed in proximal end, and two locking screws. The locking screw group was fixed by locking screws. Measure the maximum torsion force of the two groups when the ribs fracture by force. RESULTS: In the bone density experiment, the torque force of hard bone group (104.51±6.27) N was greater than the normal bone group (75.04±3.81) N(t=8.979, P<0.05). The force of normal bone group was greater than the osteoporosis group (49.99±2.12) N(t=12.832, P<0.05). In the bending collarbone hook experiment, the order of the torque force generated by each group as follow:the forward bending group (343.59±6.18) N greater than the 0° group (106.01±5.29) N(t=65.279, P<0.05) greater than the reverse bending group (95.82±4.12) N(t=3.398, P<0.05). The force of the normal screw group (98.68±0.70) N was greater than the locking screw group (50.20±0.95) N(t=91.484, P<0.05). The data comparisons of each group were statistically significant. CONCLUSION Bone density, plate bending degree and proximal screw type had an impact on stress fracture of clavicle hook plate. Higher bone density, forward bending of the steel plate, and ordinary screws in proximal end can reduce the rates of stress fractures of clavicle hooks.
Animals ; Bone Plates ; Clavicle/surgery* ; Swine ; Fractures, Stress/etiology* ; Female ; Risk Factors ; Fracture Fixation, Internal/instrumentation* ; Bone Screws ; Biomechanical Phenomena ; Bone Density

OBJECTIVE: To determine risk factors for cutout failure in geriatric intertrochanteric fracture patients after cephalomedullary nail fixation. METHODS: A retrospective review of 518 elderly patients who underwent cephalomedullary nail fixation for intertrochanteric fractures between January 2008 and August 2018 was conducted, including 167 males and 351 females, age from 65 to 97 years old. All patients were followed up for at least one year after surgery and divided into a healed group and a cutout group based on whether the hip screw cutout occurred. Among all patients, 10 cases experienced hip screw cutout. The general information, surgical data, and radiological data of the two groups were compared, and risk factors influencing hip screw cutout were analyzed. Propensity score matching was then performed on the cutout group based on gender, age, body mass index(BMI), and American Society of Anesthesiologists(ASA), and 40 patients from the healed group were matched at a ratio of 1∶4. Key risk factors affecting hip screw cutout were further analyzed. Multivariable logistic regression analysis was conducted to evaluate associations between variables and cutout failure. RESULTS: There were no statistically significant differences between the healed group and the cutout group in terms of age, gender, BMI, ASA, and AO classification. However, statistically significant differences were observed between the two groups in terms of reduction quality(P=0.003) and tip-apex distance(TAD), P<0.001. Multivariate analysis identified poor reduction quality OR=23.138, 95%CI(2.163, 247.551), P=0.009 and TAD≥25 mm OR=30.538, 95%CI(2.935, 317.770), P=0.004 as independent risk factors for cutout failure. CONCLUSION The present study identified poor reduction quality and TAD≥25 mm as factors for cutout failure in geriatric intertrochanteric fractures treated with cephalomedullary nails. Further studies are needed to calculate the optimal TAD for cephalomedullary nails.
Humans ; Male ; Female ; Hip Fractures/surgery* ; Aged, 80 and over ; Aged ; Risk Factors ; Retrospective Studies ; Fracture Fixation, Intramedullary/adverse effects* ; Bone Nails ; Bone Screws

OBJECTIVE: To study the relevant factors affecting the occurrence of adjacent vertebral fractures in women with osteoporotic vertebral compression fractures after conservative treatments. METHODS: A total of 98 elderly female patients diagnosed with osteoporotic vertebral compression fractures and treated from January 2020 to January 2022 were retrospectively analyzed. The average age was (73.05±7.38) years old. Based on the follow-up results after two years of injury, the patients were divided into the adjacent vertebral fracture group (24 cases) and the non-adjacent vertebral fracture group (74 cases). The following factors were recorded for each patient:age, initial bone density, follow-up bone density, bone density changes, initial VAS score, degree of fracture compression, presence of old fractures, use of zoledronic acid, use of parathyroid hormone analogs, occurrence of complications, and further compression of the affected vertebrae. Univariate and multivariate Logistic regression analyses were performed to analyze the associated risk factors. RESULTS: Univariate analysis revealed that in elderly women undergoing conservative treatment for osteoporotic vertebral compression fractures, the degree of fracture compression, follow-up bone density, changes in bone density, use of zoledronic acid, and use of parathyroid hormone analogs were statistically significant(P<0.05). Multivariate Logistic regression analysis demonstrated that the degree of fracture compression 95%CI(0.040, 0.571), P=0.005, OR=0.151, changes in bone density 95%CI(1.264, 1 360.732), P=0.036, OR=41.477, and use of parathyroid hormone analogs 95%CI(1.638, 31.625), P=0.009, OR=7.196 were risk factors affecting the occurrence of adjacent vertebral fractures following vertebral compression fractures in elderly women with osteoporosis. CONCLUSION The degree of fracture compression, changes in bone density, and the use of parathyroid hormone analogs are factors influencing the occurrence of adjacent vertebral fractures following vertebral compression fractures in elderly women with osteoporosis. For patients with mild compression fractures (gradeⅠ), conservative treatment can be achieved by intensifying anti-osteoporosis therapy and using parathyroid hormone analogs.
Humans ; Female ; Aged ; Fractures, Compression/etiology* ; Spinal Fractures/therapy* ; Osteoporotic Fractures/therapy* ; Retrospective Studies ; Risk Factors ; Conservative Treatment ; Aged, 80 and over ; Bone Density