Correlation of Serum Bilirubin with Clinical and Pathological Characteristics of Patients with IgA Nephropathy.

OBJECTIVE: To investigate the correlations of total bilirubin (TBIL), direct bilirubin (DBIL), and indirect bilirubin (IBIL) with various clinical indicators and pathological features of patients with IgA nephropathy (IgAN). METHODS: Patients diagnosed with IgAN were included and divided into low and high TBIL/DBIL/IBIL groups. Correlation analysis was performed to assess the relationships between the bilirubin indices and other clinical and pathological variables. Logistic regression was applied to identify the independent risk factors of mesangial cell proliferation (corresponding to M1 in the Oxford classification of IgAN). RESULTS: Totally 192 patients with IgAN were included, and the patient clinical indicators were compared between the different bilirubin subgroups. Compared to the groups with higher TBIL, DBIL, and IBIL levels, groups with lower values of these bilirubin indices exhibited a higher 24-hour urine protein (24hUP) concentration but a lower proportion of males as well as reduced total protein, albumin, haemoglobin, and glutamic-pyruvic transaminase levels (p < 0.05). Moreover, the low-DBIL group displayed higher total cholesterol, triglyceride, and low-density lipoprotein (LDL) concentrations (p < 0.05) than those in the high DBIL group. Spearman analysis further revealed that TBIL, DBIL, and IBIL were negatively correlated with 24hUP and positively correlated with haemoglobin, total protein, and albumin (p < 0.05). Additionally, DBIL exhibited negative correlations with total cholesterol, triglyceride, and LDL (p < 0.05). From a pathological perspective, M1 incidence was higher in the low TBIL and IBIL groups (both p < 0.05). Furthermore, the high IBIL group showed a lower occurrence of cellular/fibrocellular crescents (C1 (in at least one glomerulus) and C2 (in >25% of glomeruli) in the Oxford classification, p < 0.05). Lastly, the multivariate regression model suggested that IBIL was an independent protective factor for M1 (odds ratio = 0.563, 95% confidence interval = 0.344-0.921, p = 0.022). CONCLUSIONS: Patients with IgAN accompanied by low values of bilirubin indices exhibit worsened disease-related clinical indicators (24hUP, total protein, albumin, and haemoglobin levels). Reduced TBIL and IBIL concentrations are indicative of severe renal pathology, with IBIL being a protective factor against M1.

Correlation Analysis between Urinary Catheter Indwelling Time and Nosocomial Urinary Tract Infection.

OBJECTIVES: Indwelling urinary catheter is closely associated with the occurrence of urinary tract infection (UTI). Herein, we further explored the correlation of urinary catheter indwelling time and UTI. METHODS: Retrospectively, the medical data of nosocomial patients (n = 681) were collected during two quarters of April 2023 to June 2023 (the second quarter, 23.4-23.6, n = 330) and July 2023 to September 2023 (the third quarter, 23.7-23.9, n = 351). The baseline data and incidence of catheter-related UTI were analysed. The total hospitalisation days and indwelling urinary catheter days of patients in five departments were assessed, namely, coronary care unit (CCU), respiratory intensive care unit (RICU), surgical intensive care unit (SICU), neurology intensive care unit (NICU) and cardiac surgical intensive care unit (CSICU) departments. The correlation between hospitalisation days/indwelling urinary catheter days and the occurrence of UTI was evaluated by Spearman correlation analysis. RESULTS: In the CCU, RICU, SICU, NICU and CSICU departments, the number of patients was 463, 83, 29, 91 and 15, respectively. During 23.4-23.6, the incidence of catheter-associated UTI (CAUTI) was 0, 2.85, 6.12, 0 and 12.99 per 1000 urinary catheter days in CCU, RICU, SICU, NICU and CSICU, respectively. During 23.7-23.9, the incidence of CAUTI was 2.98, 6.13, 8.66, 0 and 0 per 1000 urinary catheter days in CCU, RICU, SICU, NICU and CSICU, respectively. Notably, hospitalisation days/indwelling urinary catheter days were positively correlated with the occurrence of CAUTI in each quarter (p < 0.05). CONCLUSIONS: There was a positive correlation between urinary catheter indwelling time and the occurrence of UTI.

Association between patient safety culture and professional quality of life among nursing professionals.

OBJECTIVE: To analyze the association between patient safety culture and professional quality of life in nursing professionals. METHOD: Correlational study carried out in a hospital in Salvador, Bahia, Brazil, with 180 participants. The data were collected through the Hospital Survey on Patient Safety Culture and Professional Quality of Life Scale and analyzed with correlation tests. RESULTS: The use of the Quality of Professional Life model, which encompasses Compassion Satisfaction, Burnout and Traumatic Stress, showed that a better assessment of the safety culture was negatively associated with Burnout. Regarding the dimensions of culture, better evaluations of the general perception of safety, teamwork and staffing were negatively associated with Burnout and Traumatic Stress. Higher Burnout was negatively associated with better handoffs and greater Traumatic Stress was positively associated with error communication. CONCLUSION: Higher levels of Burnout were associated with worse perception of safety culture and worse teamwork evaluations; staffing and general perception of safety were associated to a higher level of Burnout and Traumatic Stress, which emphasizes the importance of investment in these areas.

Correlation Analysis of Non-Suicidal Self-Injury Behavior with Childhood Abuse, Peer Victimization, and Psychological Resilience in Adolescents with Depression.

BACKGROUND: In recent years, the number of adolescents with depression has been increasing annually, with individuals often exhibiting non-suicidal self-injury (NSSI) behavior. The purpose of this study is to investigate the family (childhood abuse), school (peer victimization), and individual (psychological resilience) factors of adolescents with depression with or without NSSI (the Chinese version of the Functional Assessment of Self-Mutilation [C-FASM] scale), and to analyze the correlation between the above psychological and social factors and the frequency of NSSI, to provide a basis for NSSI prevention and intervention in adolescents with depression. METHODS: We recruited 355 adolescents with depressive symptoms to participate in this study and divided them into Group NSSI (N = 227) and Group no-NSSI (n-NSSI) (N = 128) based on the C-FASM scale. The Short-Form Childhood Trauma Questionnaire (CTQ-SF), Multidimensional Peer Visualization Scale (MPVS), and Resilience Scale for Chinese Adolescents (RISC) scores were compared between two groups of adolescents. Pearson correlation coefficient was used to analyze the correlation between NSSI frequency and the above scores. RESULTS: Emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, and total CTQ-SF score in Group NSSI were significantly higher than those in Group n-NSSI (all p < 0.001). Physical victimization, verbal victimization, social manipulation, attacks on property, and total MPVS score in Group NSSI were significantly higher than those in Group n-NSSI (p < 0.001, p < 0.001, p = 0.009, p < 0.001, p < 0.001). Goal concentration, emotion regulation, positive perception, family support, interpersonal assistance, and total RISC score in Group NSSI were significantly lower than those in Group n-NSSI (all p < 0.001). The frequency of NSSI was significantly positively correlated with emotional abuse, physical abuse, sexual abuse, emotional neglect, physical neglect, and total CTQ-SF score (r = 0.366, p < 0.001; r = 0.411, p < 0.001; r = 0.554, p < 0.001; r = 0.220, p = 0.001; r = 0.255, p < 0.001; r = 0.673, p < 0.001). The frequency of NSSI was significantly positively correlated with physical victimization, verbal victimization, social manipulation, attacks on property, and total MPVS score (r = 0.418, p < 0.001; r = 0.455, p < 0.001; r = 0.447, p < 0.001; r = 0.555, p = 0.001; r = 0.704, p < 0.001). The frequency of NSSI was significantly negatively correlated with goal concentration, emotion regulation, positive perception, family support, interpersonal assistance, and total RISC score (r = -0.393, p < 0.001; r = -0.341, p < 0.001; r = -0.465, p < 0.001; r = -0.272, p = 0.001; r = -0.160, p = 0.016; r = -0.540, p < 0.001). CONCLUSIONS: Our findings highlight the importance of family (childhood abuse), school (peer victimization), and individual (psychological resilience) factors for NSSI in depressed adolescents, and these factors are closely related to NSSI frequency. IMPLICATIONS FOR PRACTICE: Maintaining a good family environment, solving the problem of peer victimization at school, and developing corresponding measures to improve psychological resilience are of great significance for improving the mental health of depressed adolescents and reducing the risk of NSSI.

Preoperative proteinuria correlates with renal function after partial nephrectomy for renal cell carcinoma.

PURPOSE: Preoperative proteinuria is a prognostic factor of chronic kidney disease (CKD). We assessed the association between preoperative proteinuria and postoperative renal function after partial nephrectomy (PN). METHODS: We retrospectively reviewed our records of patients with a single malignant renal mass who underwent PN between 2000 and 2021. Patients with data on preoperative proteinuria were included. Baseline characteristics and eGFR differences over time between patients with and without proteinuria were evaluated. Univariate and multivariable logistic regression models (LRM) tested for presence of CKDIII or higher at 12-month and at last follow-up. RESULTS: Two hundred ninety-five patients were included. Twenty-two of them had preoperative proteinuria. No differences of age, smoking status, hypertension or diabetes, tumor size and use of ischemia were observed. Patients with proteinuria had a higher rate of CKD-III at baseline. At a median follow-up of 46.5 months (IQR 19-82), 117 patients developed de novo CKD-III, without differences in the two groups. No differences in decline in eGFR were observed. At univariate LRM, predictors of CKD-III at 12 months after PN were preoperative proteinuria (OR 3.2, 95%CI 1.4-7.8, p = 0.005), age and baseline eGFR, while predictors of CKD-III at last follow-up were age and baseline eGFR. At multivariable LRM, only baseline eGFR predicted CKD-III at 12-month and at last-follow-up. CONCLUSIONS: Preoperative eGFR is the only independent predictor of long-term renal function after PN. Preoperative proteinuria correlates with renal function at 12 months. Proteinuria should be assessed before PN to identify patients at higher risk of renal functional deterioration in the 12 months following PN.

Correlation between the incidence of inguinal hernia and risk factors after radical prostatic cancer surgery: a case control study.

OBJECTIVE: The incidence of recurrent hernia after radical resection of prostate cancer is high, so this article discusses the incidence and risk factors of inguinal hernia after radical resection of prostate cancer. METHODS: This case control study was conducted in The First People's Hospital of Huzhou clinical data of 251 cases underwent radical resection of prostate cancer in this hospital from March 2019 to May 2021 were retrospectively analyzed. According to the occurrence of inguinal hernia, the subjects were divided into study group and control group, and the clinical data of each group were statistically analyzed, Multivariate Logistic analysis was performed to find independent influencing factors for predicting the occurrence of inguinal hernia. The Kaplan-Meier survival curve was drawn according to the occurrence and time of inguinal hernia. RESULTS: The overall incidence of inguinal hernia after prostate cancer surgery was 14.7% (37/251), and the mean time was 8.58 ± 4.12 months. The average time of inguinal hernia in patients who received lymph node dissection was 7.61 ± 4.05 (month), and that in patients who did not receive lymph node dissection was 9.16 ± 4.15 (month), and there was no significant difference between them (P > 0.05). There were no statistically significant differences in the incidence of inguinal hernia with age, BMI, hypertension, diabetes, PSA, previous abdominal operations and operative approach (P > 0.05), but there were statistically significant differences with surgical method and pelvic lymph node dissection (P < 0.05). The incidence of pelvic lymph node dissection in the inguinal hernia group was 24.3% (14/57), which was significantly higher than that in the control group 11.8% (23/194). Logistic regression analysis showed that pelvic lymph node dissection was a risk factor for inguinal hernia after prostate cancer surgery (OR = 0.413, 95%Cl: 0.196-0.869, P = 0.02). Kaplan-Meier survival curve showed that the rate of inguinal hernia in the group receiving pelvic lymph node dissection was significantly higher than that in the control group (P < 0.05). CONCLUSION: Pelvic lymph node dissection is a risk factor for inguinal hernia after radical resection of prostate cancer.

[Effects of nasal valve on subjective nasal patency and nasal resistance: a correlation study on numerical simulation of nasal airflow].

Objective: To investigate the correlations between subjective nasal patency, nasal valve area size and aerodynamic parameters in normal nasal cavity by means of numerical simulation, and to explore the effect of nasal valve on nasal subjective sensation and nasal airflow regulation. Methods: A total of 52 healthy participants (31 males and 21 females) with the average age of 37.8 years, were recruited from the outpatient Department of Otorhinolaryngology Head and Neck Surgery, the Ninth People's Hospital Affiliated to the Medical College of Shanghai Jiao Tong University between January and August 2023. Visual Analog Scale (VAS) scores for unilateral nasal subjective sensation were obtained from all participants. Additionally, the aerodynamic characteristics of inspiratory airflow were simulated. A correlation matrix analysis was conducted to identify the correlation strength between these subjective and objective parameters. Results: VAS scores showed negative correlations with unilateral nasal valve cross-sectional area (r=-0.85, P<0.01) and unilateral intranasal airflow (r=-0.57, P<0.01), and was a positive correlation with unilateral nasal resistance (NR) at the front-end of inferior turbinate (r=0.61, P<0.01). The average cross-sectional area of unilateral nasal valve was (0.85±0.35) cm2. The cross-sectional area of unilateral nasal valve was negatively correlated with unilateral NR (r=-0.50, P<0.01), and positively correlated with unilateral nasal airflow (r=0.61, P<0.01). The NR at the nasal valve area accounted for (40.41±23.54)% of the total unilateral NR. Nearly half of the unilateral NR [(46.74±21.38)%] and air warming [(49.96±10.02)%] occurring before the front end of inferior turbinate were achieved. Conclusions: The nasal valve area plays a crucial role in influencing nasal NR, unilateral nasal airflow, and changes in nasal airflow temperature. Moreover, it is associated with subjective perception of nasal patency.

[Correlation study of NCF2 in chronic rhinosinusitis with nasal polyps].

Objective:After selecting NCF2 based on bioinformatics, clinical experiments were conducted to verify the expression of NCF2 in chronic rhinosinusitis with nasal polyps to study its correlation. Methods:The differentially expressed genes（DEGs） between CRSwNP and non-CRS patients were explored using the CRS-related dataset from the gene expression omnibus GEO database. The weighted gene co-expression network（WGCNA） was used for cluster analysis. The expression and cell distribution of NCF2 in the tissues were determined by single gene enrichment analysis（GSEA）, immune inflammatory infiltration analysis, and principal component（PCA） analysis. The expression degree of NCF2 in the tissues of the subjects was determined by immunohistochemistry, and the percentage of EOS in the peripheral blood of the subjects was detected and the correlation was analyzed. EOS in the tissues of the subjects were counted under a microscope and compared. Results:①The Venn diagram was obtained by crossing the module with the highest correlation between DEGs and WGCNA to determine the core gene NCF2. ②GSEA analysis showed that NCF2 was significantly related to the immunological processes such as allogeneic rejection and asthma. ③The area under the ROC curve was 1, indicating that NCF2 had diagnostic value for CRSwNP. ④NCF2 was highly expressed in nasal polyps, mainly distributed in monocytes and eosinophils. ⑤HE staining showed that the number of EOS in ECRSwNP tissues and the percentage of eosinophils in peripheral blood were higher than those in nonECRSwNP and control groups. ⑥The immunohistochemistry results showed that NCF2 was significantly expressed in the nasal polyps of ECRSwNP patients, which was higher than that in the nasal mucosa of nonECRSwNP group and control group. ⑦The expression of NCF2 in tissues was positively correlated with EOS count in ECRSwNP group and EOS expression in peripheral blood. Conclusion:The expression of NCF2 is increased in eosinophilic chronic rhinosinusitis with nasal polyps, and it is significantly correlated with the expression of eosinophils in peripheral blood and tissues, suggesting that NCF2 may be used as a basis for the intrinsic classification of ECRSwNP and a reference index for clinical diagnosis and treatment.

Heart Rate Variability and Pulse Rate Variability: Do Anatomical Location and Sampling Rate Matter?

Wearable technology and neuroimaging equipment using photoplethysmography (PPG) have become increasingly popularized in recent years. Several investigations deriving pulse rate variability (PRV) from PPG have demonstrated that a slight bias exists compared to concurrent heart rate variability (HRV) estimates. PPG devices commonly sample at ~20-100 Hz, where the minimum sampling frequency to derive valid PRV metrics is unknown. Further, due to different autonomic innervation, it is unknown if PRV metrics are harmonious between the cerebral and peripheral vasculature. Cardiac activity via electrocardiography (ECG) and PPG were obtained concurrently in 54 participants (29 females) in an upright orthostatic position. PPG data were collected at three anatomical locations: left third phalanx, middle cerebral artery, and posterior cerebral artery using a Finapres NOVA device and transcranial Doppler ultrasound. Data were sampled for five minutes at 1000 Hz and downsampled to frequencies ranging from 20 to 500 Hz. HRV (via ECG) and PRV (via PPG) were quantified and compared at 1000 Hz using Bland-Altman plots and coefficient of variation (CoV). A sampling frequency of ~100-200 Hz was required to produce PRV metrics with a bias of less than 2%, while a sampling rate of ~40-50 Hz elicited a bias smaller than 20%. At 1000 Hz, time- and frequency-domain PRV measures were slightly elevated compared to those derived from HRV (mean bias: ~1-8%). In conjunction with previous reports, PRV and HRV were not surrogate biomarkers due to the different nature of the collected waveforms. Nevertheless, PRV estimates displayed greater validity at a lower sampling rate compared to HRV estimates.

The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system.

In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning. Firstly, the Sparrow search algorithm (SSA) is used to optimize Variational mode decomposition (VMD) which can decompose the original signal into several Intrinsic mode functions (IMF). Secondly, calculating the Pearson correlation coefficient (PCC) between each IMF component and the original signal, the subsequences with low correlation are eliminated, and the remaining subsequence are denoised by Wavelet soft threshold (WST) method to obtain effective signals. Thirdly, on the basis of the above data noise reduction and reconstruction, our proposal combines Convolutional neural network (CNN) and Bidirectional short-term memory (BiLSTM) model, which is used to analyze the evolution trend of real time sequence data. Finally, we applied the CNN-BiLSTM-SSA-VMD-WST to predict the real time sequence data together with the other methods in order to prove it's effectiveness. The results show that SNR and CC of the SSA-VMD-WST are the largest (the values are 20.2383 and 0.9342). The performance of the CNN-BiLSTM-SSA-VMD-WST are the best, MAE and RMSE are the smallest (which are 0.150 and 0.188), the goodness of fit R2 is the highest(its value is 0.9364). In contrast with other methods, CNN-BiLSTM-SSA-VMD-WST method is more suitable for denoising and prediction of real time series data than the traditional and singular deep learning methods. The proposed method may provide a reliable way for related prediction in various industries.

Clinical variables influencing the perception of fatigue in people with multiple sclerosis: a cross-sectional study using FSIQ-RMS.

BACKGROUND: Physical fatigue is one of the most disabling symptoms in people with Multiple Sclerosis (PwMS). Several factors might influence the development of fatigue, such as gender, education, body mass index (BMI), Expanded Disability Status Scale (EDSS), disease duration, working status (Ws), physiotherapy (Ph), and disease-modifying therapies (DMTs). Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS) is a patient-reported outcome (PRO) that allows one to define the impact of fatigue in PwMS clearly. This study aimed to assess fatigue impact on PwMS by using FSIQ-RMS. METHODS: The participants were enrolled from May to July 2021 in MS Centers of Sant'Andrea Hospital and Policlinico Umberto I Hospital in Rome. Fatigue was evaluated using the FSIQ-RMS, validated, and culturally adapted in Italian. Clinical and demographic data were collected at the same time. RESULTS: We enrolled 178 PwMS [Female 74.16%; RMS 82.58%, SPMS 17.52%]. FSIQ-RMS scores were significantly correlated with EDSS (p-value < 0.01). Analysis of variance between means showed a statistically significant difference between the BMI groups at the 24hours_FSIQ-RMS score and the 7days_FSIQ-RMS score (p < 0.01), with the lower BMI group having the highest scores. Furthermore, perceived fatigue significantly improved both in subjects performing Ph (p < 0.05) and in those who actively work (p < 0.01). CONCLUSIONS: The use of FSIQ-RMS in a real-world setting confirmed that underweight and high levels of disability are closely related to fatigue. In addition, Ph and active Ws are strongly correlated with fatigue in PwMS.

The mediating effect of internet addiction and the moderating effect of physical activity on the relationship between alexithymia and depression.

There is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%). These responses were utilized for descriptive analysis, correlation analysis, regression analysis, and the development of mediation and moderation models. Alexithymia showed positive correlations with depression and internet addiction, and physical activity was negatively correlated with internet addiction and depression. Internet addiction partially mediated the relationship between alexithymia and depression, while physical activity weakened the association between internet addiction and depression, acting as a moderator. Our findings suggest that excessive Internet engagement may mediate the relationship between alexithymia and depression as an emotional regulatory coping strategy, and that physical activity attenuates the predictive effect of Internet addiction on depression.

[Correlation between refraction and axial length in Albinos]. / Corrélation entre la réfraction et la longueur axiale du sujet Albinos.

PURPOSE: To investigate the relationship between refraction and ocular axial length in albinos. PATIENTS AND METHODS: A cross-sectional, analytical study was carried out from June to November 2021 at the Central Hospital of Yaounde (Cameroon), which included consenting albino subjects aged over 15years. All subjects underwent visual acuity testing, axial length measurements and objective refraction under cycloplegia. RESULTS: We included 51 albino subjects. The mean age was 26.06±9.47years, and the sex ratio was 0.5. Type 2 oculocutaneous albinism (OCA2) was predominant, representing 82.4% of cases. The mean uncorrected visual acuity was 0.93±0.25 logMAR, and the most common ametropia was myopic astigmatism (52.9%). The mean axial length was 24.65±2.54mm with extremes of 21.54 and 30.33mm. Eyes with myopia and myopic astigmatism had significantly longer axial lengths than those with hyperopic and mixed astigmatism. A strong, significant negative correlation (r=-0.93; P˂0.001) between the spherical component of the refraction and axial length was found. CONCLUSION: The spherical component of the refraction decreases significantly with increasing axial length in albinos.

A simplified, 2-question grading system for evaluating abstracts in orthopedic scientific meetings: a serial randomization study.

BACKGROUND AND PURPOSE: Efficient abstract scoring for congress presentation is important. Given the emergence of new study methodologies, a scoring system that accommodates all study designs is warranted. We aimed to assess the equivalence of a simplified, 2-question abstract grading system with a more complex currently used system in assessing abstracts submitted for orthopedic scientific meetings in a serial randomized study. METHODS: Dutch Orthopedic Association Scientific Committee (DOASC) members were randomized to grade abstracts using either the current grading system, which includes up to 7 scoring categories, or the new grading system, which consists of only 2 questions. Pearson correlation coefficient and mean abstract score with 95% confidence intervals (CI) were calculated. RESULTS: Analysis included the scoring of 195 abstracts by 12-14 DOASC members. The average score for an abstract using the current system was 60 points (CI 58-62), compared with 63 points (CI 62-64) using the new system. By using the new system, abstracts were scored higher by 3.3 points (CI 1.7-5.0). Pearson correlation was poor with coefficient 0.38 (P < 0.001). CONCLUSION: The simplified abstract grading system exhibited a poor correlation with the current scoring system, while the new system offers a more inclusive evaluation of varying study designs and is preferred by almost all DOASC members.

Examination of the shared genetic architecture between multiple sclerosis and systemic lupus erythematosus facilitates discovery of novel lupus risk loci.

Systemic Lupus Erythematosus (SLE) is an autoimmune disease with heterogeneous manifestations, including neurological and psychiatric symptoms. Genetic association studies in SLE have been hampered by insufficient sample size and limited power compared to many other diseases. Multiple Sclerosis (MS) is a chronic relapsing autoimmune disease of the central nervous system (CNS) that also manifests neurological and immunological features. Here, we identify a method of leveraging large-scale genome wide association studies (GWAS) in MS to identify novel genetic risk loci in SLE. Statistical genetic comparison methods including linkage disequilibrium score regression (LDSC) and cross-phenotype association analysis (CPASSOC) to identify genetic overlap in disease pathophysiology, traditional 2-sample and novel PPI-based mendelian randomization to identify causal associations and Bayesian colocalization were applied to association studies conducted in MS to facilitate discovery in the smaller, more limited datasets available for SLE. Pathway analysis using SNP-to-gene mapping identified biological networks composed of molecular pathways with causal implications for CNS disease in SLE specifically, as well as pathways likely causal of both pathologies, providing key insights for therapeutic selection.

Association between self-reported METs and other perioperative cardiorespiratory fitness assessment tools in abdominal surgery-a prospective cross-sectional correlation study.

Cardiovascular complications represent a significant proportion of adverse events during the perioperative period, necessitating accurate preoperative risk assessment. This study aimed to investigate the association between well-established risk assessment tools and self-reported preoperative physical performance, quantified by metabolic equivalent (MET) equivalents, in high-risk patients scheduled for elective abdominal surgery. A prospective cross-sectional correlation study was conducted, involving 184 patients admitted to a Gastrointestinal Surgery Department. Various risk assessment tools, including the Revised Cardiac Risk Index (RCRI), Surgical Mortality Probability Model (S-MPM), American University of Beirut (AUB)-HAS2 Cardiovascular Risk Index, and Surgical Risk Calculator (NSQIP-MICA), were utilized to evaluate perioperative risk. Patients self-reported their physical performance using the MET-REPAIR questionnaire. The findings demonstrated weak or negligible correlations between the risk assessment tools and self-reported MET equivalents (Spearman's ρ = - 0.1 to - 0.3). However, a statistically significant relationship was observed between the ability to ascend two flights of stairs and the risk assessment scores. Good correlations were identified among ASA-PS, S-MPM, NSQIP-MICA, and AUB-HAS2 scores (Spearman's ρ = 0.3-0.8). Although risk assessment tools exhibited limited correlation with self-reported MET equivalents, simple questions regarding physical fitness, such as the ability to climb stairs, showed better associations. A comprehensive preoperative risk assessment should incorporate both objective and subjective measures to enhance accuracy. Further research with larger cohorts is needed to validate these findings and develop a comprehensive screening tool for high-risk patients undergoing elective abdominal surgery.

Correlación entre el polimorfismo de los genes LHCGR y NR5A1y el riesgo de infertilidad masculina / Correlation between LHCGR and NR5A1 genes polymorphism and male infertility risk

Introducción La infertilidad constituye un problema de salud que afecta gravemente la reproducción humana. En el caso de la infertilidad masculina, la mayoría de los casos se deben a factores genéticos. En este estudio nos propusimos realizar un análisis de correlación entre la infertilidad masculina idiopática y el polimorfismo de un solo nucleótido (SNP, por Single Nucleotide Polymorphism) de los genes LHCGR (rs2293275) y NR5A1 (rs1057517779) en la población azerí de Irán. Métodos En este estudio de casos y controles participaron 100 varones infértiles y 100 varones sanos procedentes de la población azerí iraní. La genotipificación se realizó mediante el aislamiento del ADN genómico a partir de muestras de sangre total con el sistema de amplificación por reacción en cadena de la polimerasa refractario a mutaciones Tetra-primer (Tetra-ARMS-PCR). El análisis de los datos se llevó a cabo mediante la prueba de Chi-cuadrado (χ2) y la prueba exacta de Fisher. Resultados Según el análisis de genotipificación del polimorfismo LHCGR (rs2293275), la frecuencia del alelo C en el grupo de casos era significativamente mayor que en el grupo de control (p<0,05). El análisis del polimorfismo NR5A1 (rs1057517779) indicó que la frecuencia del alelo A y del genotipo heterocigoto GA en el grupo de casos era significativamente superior a la del grupo de control (p<0,05). Conclusión Nuestro estudio demostró que los SNP de los genes LHCGR (rs2293275) y NR5A1 (rs1057517779) pueden desempeñar un papel crucial en la infertilidad masculina de la población azerí en Irán. Sin embargo, se requieren más estudios realizados en otros orígenes étnicos con muestras de mayor tamaño para obtener resultados más precisos. Además, podrían ser necesarios experimentos funcionales para comprender el papel de estos polimorfismos en las vías moleculares implicadas en la fertilidad masculina. (AU)

Introduction Infertility is one of the important phenomena in human reproduction. Genetic factors are the most important cause of male infertility. Here, we aimed to investigate the correlation between idiopathic male infertility and SNPs of the LHCGR (rs2293275) and NR5A1 (rs1057517779) genes in the Iranian-Azeri population. Methods This case-control study consisted of 100 males with infertility and 100 healthy males from the Iranian Azeri population. Genomic DNA isolation from whole blood samples and Tetra-primer amplification refractory mutation system-polymerase chain reaction (Tetra-ARMS-PCR) method was used for genotyping. The data analysis was performed by Chi-square (χ2) and Fisher's exact tests. Results Genotyping analysis for LHCGR (rs2293275) polymorphism indicated that the frequency of C in the case group was significantly higher than in the control group (P<.05). Moreover, genotyping analysis for NR5A1 (rs1057517779) polymorphism indicated that the frequencies of the A allele and heterozygote GA genotype in the case group were significantly higher than those in the control group (P<.05). Conclusion Our study demonstrated that the SNPs of LHCGR (rs2293275) and NR5A1 (rs1057517779) genes may play a critical role in male infertility in the Iranian Azeri population. However, further studies on other ethnic origins with larger sample sizes are essential for accessing more accurate results. Moreover, functional experiments might be needed to understand the role of these polymorphisms in the molecular pathways involved in male fertility. (AU)

Patient Characteristics and Telemedicine Use in the US, 2022.

Importance: Telemedicine use was common during the COVID-19 pandemic, expanding many patients' approaches to accessing health care. Of concern is whether telemedicine access was poorer among higher-needs and disadvantaged populations. Objective: To assess patient characteristics associated with telemedicine use and telemedicine mode and describe telemedicine visit experiences by telemedicine mode. Design, Setting, and Participants: This cross-sectional study included data from the 2022 Health Information National Trends Survey and included US adults with a health care visit. Data were analyzed from May to September 2023. Exposure: Patient characteristics. Main Outcomes and Measures: Any telemedicine visits vs in-person visits only; telemedicine mode (video vs audio-only). Multivariable logistic models assessed patient characteristics associated with telemedicine visits and mode. Bivariate analyses compared telemedicine experiences by mode. Results: The study included 5437 adult patients (mean [SE] age, 49.4 [0.23] years; 3136 females [53.4%]; 1928 males [46.6%]). In 2022, 2384 patients (43%) had a telemedicine visit; 1565 (70%) had a video visit while 819 (30%) had an audio-only visit. In multivariable models, older age (≥75 years: adjusted odds ratio [aOR], 0.63; 95% CI, 0.42-0.94), no internet use (aOR, 0.62; 95% CI, 0.48-0.81), and living in the Midwest (aOR, 0.50; 95% CI, 0.35-0.70) were negatively associated with having telemedicine visits. Female sex (aOR, 1.43; 95% CI, 1.12-1.83), having chronic conditions (aOR, 2.13; 95% CI, 1.66-2.73), and multiple health care visits (2-4 visits: aOR, 1.77; 95% CI, 1.23-2.54; ≥5 visits: aOR, 3.29; 95% CI, 2.20-4.92) were positively associated. Among individuals who used telemedicine, older age (65-74 years: aOR, 2.13; 95% CI, 1.09-4.14; ≥75 years: aOR, 3.58; 95% CI, 1.60-8.00), no health insurance (aOR, 2.84; 95% CI, 1.42-5.67), and no internet use (aOR, 2.11; 95% CI, 1.18-3.78) were positively associated with having audio-only visits. We observed no significant differences in telemedicine use or mode by education, race and ethnicity, or income. Patients' experiences using telemedicine were generally similar for video and audio-only except more individuals who used audio-only had privacy concerns (20% vs 12%, P = .02). Conclusions and Relevance: In this cross-sectional study of adults with health care visits, many patients, including those with the greatest care needs, chose telemedicine even after in-person visits were available. These findings support continuing this care delivery approach as an option valued by patients. Differences were not observed by most common measures of socioeconomic status. Continued monitoring of telemedicine use is needed to ensure equitable access to health care innovations.

Feasibility of images acquired using smartphone camera for marginal and internal fit of fixed dental prosthesis: comparison and correlation study.

This study aimed to measure marginal and internal fit using images captured with both an optical microscope and a smartphone camera, comparing the fit measurement performance of these devices and analyzing their correlation. Working casts (with 10 posterior and 10 anterior teeth) created to fabricate fixed dental prostheses were used. These working casts were scanned using a desktop scanner (E1) to design an interim crown, and the designed interim crown was fabricated using a three-dimensional (3D) printer. Utilizing the silicone replica technique, the fabricated interim crown replicated the fit, which was then captured using both an optical microscope and a smartphone camera. The captured images were used to measure the marginal and internal fit according to the imaging device. Intraclass correlation coefficients (ICC) were used for reliability analysis according to the imaging device. Furthermore, the Wilcoxon signed-rank test was adopted for the comparative evaluation of the marginal and internal fit between the imaging devices (α = 0.05). The measurement results of the marginal and internal fit according to the optical microscope and smartphone camera did exhibit a significant difference (P < 0.05). The ICC between the two devices showed an "excellent" agreement of over 0.9 at all measurement points (P < 0.001). A smartphone camera could be used to obtain images for evaluating the marginal and internal fit.

Ensemble Extreme Learning Machine Method for Hemoglobin Estimation Based on PhotoPlethysmoGraphic Signals.

Non-invasive detection of hemoglobin (Hb) concentration is of great clinical value for health screening and intraoperative blood transfusion. However, the accuracy and stability of non-invasive detection still need to be improved to meet clinical requirement. This paper proposes a non-invasive Hb detection method using ensemble extreme learning machine (EELM) regression based on eight-wavelength PhotoPlethysmoGraphic (PPG) signals. Firstly, a mathematical model for non-invasive Hb detection based on the Beer-Lambert law is established. Secondly, the captured eight-channel PPG signals are denoised and fifty-six feature values are extracted according to the derived mathematical model. Thirdly, a recursive feature elimination (RFE) algorithm is used to select the features that contribute most to the Hb prediction. Finally, a regression model is built by integrating several independent ELM models to improve prediction stability and accuracy. Experiments conducted on 249 clinical data points (199 cases as the training dataset and 50 cases as the test dataset) evaluate the proposed method, achieving a root mean square error (RMSE) of 1.72 g/dL and a Pearson correlation coefficient (PCC) of 0.76 (p < 0.01) between predicted and reference values. The results demonstrate that the proposed non-invasive Hb detection method exhibits a strong correlation with traditional invasive methods, suggesting its potential for non-invasive detection of Hb concentration.