Clinical factors associated with relapse in depression in a sample of UK primary care patients who have been on long-term antidepressant treatment

BACKGROUND

This paper investigates whether age of onset of depression, duration of the last episode, number of episodes, and residual symptoms of depression and anxiety are associated with depression relapse in primary care patients who have been on long-term maintenance antidepressant treatment and no longer meet ICD10 criteria for depression.

METHODS

An observational cohort using data from ANTLER (N = 478), a double-blind placebo-controlled trial. The primary outcome was time to relapse using the retrospective CIS-R. Participants were followed for 12 months.

RESULTS

Primary outcome was available for 468 participants. Time to relapse in those with more than five previous episodes of depression was shorter, hazard ratio (HR) 1.84 (95% confidence interval [CI] 1.23-2.75) compared to people with two episodes; HR 1.57 (95% CI 1.01-2.43) after adjustment. The residual symptoms of depression at baseline were also associated with increased relapse: HR 1.05 (95% CI 1.01-1.09) and HR 1.06 (95% CI 1.01-1.12) in the adjusted model. There was evidence of reduced rate of relapse in older age of onset group: HR 0.86 (95% CI 0.78-0.95); HR attenuated after adjustment HR 0.91 (95% CI 0.81-1.02). There was no evidence of an association between duration of the current episode and residual anxiety symptoms with relapse.

CONCLUSIONS

The number of previous episodes and residual symptoms of depression were associated with increased likelihood of relapse. These factors could inform joint decision making when patients are considering tapering off maintenance antidepressant treatment or considering other treatments to prevent relapse.

Breast cancer risk prediction using machine learning: a systematic review

Background

Breast cancer is the leading cause of cancer-related fatalities among women worldwide. Conventional screening and risk prediction models primarily rely on demographic and patient clinical history to devise policies and estimate likelihood. However, recent advancements in artificial intelligence (AI) techniques, particularly deep learning (DL), have shown promise in the development of personalized risk models. These models leverage individual patient information obtained from medical imaging and associated reports. In this systematic review, we thoroughly investigated the existing literature on the application of DL to digital mammography, radiomics, genomics, and clinical information for breast cancer risk assessment. We critically analyzed these studies and discussed their findings, highlighting the promising prospects of DL techniques for breast cancer risk prediction. Additionally, we explored ongoing research initiatives and potential future applications of AI-driven approaches to further improve breast cancer risk prediction, thereby facilitating more effective screening and personalized risk management strategies.

Objective and methods

This study presents a comprehensive overview of imaging and non-imaging features used in breast cancer risk prediction using traditional and AI models. The features reviewed in this study included imaging, radiomics, genomics, and clinical features. Furthermore, this survey systematically presented DL methods developed for breast cancer risk prediction, aiming to be useful for both beginners and advanced-level researchers.

Results

A total of 600 articles were identified, 20 of which met the set criteria and were selected. Parallel benchmarking of DL models, along with natural language processing (NLP) applied to imaging and non-imaging features, could allow clinicians and researchers to gain greater awareness as they consider the clinical deployment or development of new models. This review provides a comprehensive guide for understanding the current status of breast cancer risk assessment using AI.

Conclusion

This study offers investigators a different perspective on the use of AI for breast cancer risk prediction, incorporating numerous imaging and non-imaging features.

Prediction of immunotherapy response in idiopathic membranous nephropathy using deep learning-pathological and clinical factors

Background

Owing to individual heterogeneity, patients with idiopathic membranous nephropathy (IMN) exhibit varying sensitivities to immunotherapy. This study aimed to establish and validate a model incorporating pathological and clinical features using deep learning training to evaluate the response of patients with IMN to immunosuppressive therapy.

Methods

The 291 patients were randomly categorized into training (n = 219) and validation (n = 72) cohorts. Patch-level convolutional neural network training in a weakly supervised manner was utilized to analyze whole-slide histopathological features. We developed a machine-learning model to assess the predictive value of pathological signatures compared to clinical factors. The performance levels of the models were evaluated using the area under the receiver operating characteristic curve (AUC) on the training and validation tests, and the prediction accuracies of the models for immunotherapy response were compared.

Results

Multivariate analysis indicated that diabetes and smoking were independent risk factors affecting the response to immunotherapy in IMN patients. The model integrating pathologic features had a favorable predictive value for determining the response to immunotherapy in IMN patients, with AUCs of 0.85 and 0.77 when employed in the training and test cohorts, respectively. However, when incorporating clinical features into the model, the predictive efficacy diminishes, as evidenced by lower AUC values of 0.75 and 0.62 on the training and testing cohorts, respectively.

Conclusions

The model incorporating pathological signatures demonstrated a superior predictive ability for determining the response to immunosuppressive therapy in IMN patients compared to the integration of clinical factors.

Proportion of At-Risk Alcohol Consumers According to the New French Guidelines: Cross-Sectional Weighted Analyses From the CONSTANCES Cohort

Objective: To estimate the proportion of the participants of the French national population-based CONSTANCES cohort exceeding the new low-risk drinking guidelines according to sociodemographic and clinical factors. Methods: From 34,470 participants with follow-up data in 2019, among volunteers aged 18-69 years and invited to enroll in the CONSTANCES cohort in 2016 and 2017, weighted prevalence and odds ratios with 95% confidence intervals (CI) exceeding the guidelines using logistic regressions were presented stratified for age, gender, education, occupational grade, employment, income, marital status, pregnancy, work stress, depression, alcohol dependence, binge drinking, cannabis use, smoking status, e-cigarette use, cardiovascular diseases, and cancer. Results: The guidelines were exceeded more by men at 60.2% (95%CI: 59.3%-61.0%) than by women at 36.6% (95%CI: 35.9%-37.4%). Exceeding the guidelines increased with age, socioeconomic status, smoking, vaping, using cannabis, binge drinking, and alcohol dependence. Being depressed was associated with exceeding the guidelines in women. Even though pregnant women were less likely to exceed the guidelines, 7.6% (95%CI: 5.4%-10.6%) were at-risk drinkers. Conclusion: These findings highlight the need to implement effective prevention measures for at-risk alcohol use among the French population.

A hospital-based study of survival in oral cancer patients of Tata Memorial Hospital, Mumbai

Introduction

Oral cancer represents a significant global public health concern, with the death rate for lip and oral cavity malignancies experiencing a 1.40-fold increase worldwide in the past three decades. This retrospective study aimed to comprehensively understand overall survival (OS) and the influence of sociodemographic and clinical factors on patients diagnosed with oral cavity cancer.

Materials and methods

The study focused on oral cancer patients enrolled in 2016 and treated at Tata Memorial Hospital, Mumbai, with a follow-up period extending to 5 years until 2021. Utilising the Kaplan-Meier technique and log-rank test, we examined OS and variations based on sociodemographic factors, while the Cox proportional hazard model allowed us to investigate the simultaneous impact of multiple factors on OS.

Results

A total of 1,895 eligible participants were included. The overall 5-year survival rate was 65%. After adjusting for age, gender, education, primary site, tumour grade, TNM staging, treatment intention, status and modality, we found in our study oral cancer patients aged more than 60 years (HR = 1.37, 95% CI: 1.01-1.85, p-value 0.03), patients who had poorly differentiated carcinoma (HR = 2.44, 95% CI: 1.56-3.81, p-value < 0.001), belonged to stage IV as per TNM staging (HR = 2.44, 95% CI: 1.65-3.61, p-value < 0.001), patient who have received partial treatment (HR = 2.44, 95% CI: 1.65-3.61, p-value < 0.001) and only chemotherapy (HR = 3.56, 95% CI: 2.43-5.23, p-value < 0.001) found to have a higher hazard of dying while literate (HR = 0.73, 95% CI: 0.56-0.95, p-value 0.02) are protective.

Limitations

The retrospective nature of the study posed constraints in exploring additional variable associations.

Implication

Overall early detection, appropriate treatment, and regular follow-up are critical for improving the survival rate of patients with oral cavity cancer.

Conclusion

This research proposes that improving the socioeconomic status and promoting proactive treatment-seeking behaviour is crucial for enhancing the survival of oral cancer patients. Cancer hospitals, in collaboration with the wider public healthcare system in India, which includes clinicians and policymakers, should consider these suggestions to enhance cancer treatment and control in low-middle-income countries.

Do I care for you more when you really need help? An experimental test of the effect of clinical urgency on compassion in health care

OBJECTIVES

To experimentally investigate whether more urgent patient presentations elicit greater compassion from health care professionals than less urgent, facilitating future research and thinking to address systemic barriers to compassion in health care.

DESIGN

This is a pre-registered online study with an experimental, within-subjects repeated-measure study design. Two clinical vignettes that systematically varied the urgency of patient presentation were utilized. Both vignettes depicted a patient with difficult behaviours typically associated with lower compassion.

METHODS

Health care professionals (doctors, nurses and allied health practitioners) recruited from all 20 District Health Boards across Aotearoa/New Zealand completed two vignettes in a counterbalanced order. Paired-sample t-tests were used to test the effect of the presentation urgency on indices of compassion.

RESULTS

A total of 939 participants completed the vignettes (20% doctors, 47%, nurses and 33% allied health professionals). As expected, participants reported greater care and motivation to help the more urgent patient. However, the more urgent patient was also perceived as less difficult, and exploratory analyses showed that perceived patient difficulty was associated with lower caring and motivation to help, particularly in the less urgent patient.

CONCLUSIONS

This is the first work to experimentally test the relationship between the urgency of patient presentation and compassion in health care. Although the association between urgency and difficulty is complex, our findings are consonant with evolutionary views in which urgent distress elicits greater compassion. A system-wide orientation towards efficiency and urgency may exacerbate this 'bias' which must be addressed to ensure more equitable compassion in health care.

Beliefs about medicines' association with endocrine therapy adherence in early breast cancer survivors in Croatia

This observational, cross-sectional study conducted at the University Hospital Centre Zagreb (UHC Zagreb) aimed to explore patients' beliefs about adjuvant endocrine therapy (AET) as well as their association with non-adherence and sociodemographic and clinical factors. Out of 420 early breast cancer (BC) patients included in the study, 79.5 % perceived AET necessary and important for their health, as measured by the Belief About Medicines Questionnaire (BMQ), with the mean necessity score (20.4 ± 3.68) significantly higher than the mean concerns score (13 ± 4.81) (p < 0.001). Based on the Medication Adherence Report Scale (MARS-5), 44.4 % (n = 182) of the participants were non-adherers, out of which 63.2 % (n = 115) were unintentional and 36.8 % (n = 67) intentional non-adherers. Significantly higher concern beliefs were found among patients that were younger (p < 0.001), employed (p < 0.001), intentionally non-adherent to AET (p = 0.006), had a lower body-mass index (p = 0.005) and a higher level of education (p < 0.001), were premenopausal at the time of diagnosis (p < 0.001), taking tamoxifen treatment (p = 0.05) and receiving ovarian suppression (p < 0.001). Younger patients should be recognized as being at risk of non-adherence as they hold greater concern beliefs about medicines.

The Influence of Clinical Factors on Treatment Outcome and a Recurrence of Surgically Removed Protruded Subungual Osteochondroma and Subungual Exostosis

BACKGROUND

Subungual exostosis (SE) and subungual osteochondroma (SO) are benign solitary lesions that grow from the distal phalanx. The mass itself is typically painless, but pressure on the nail plate can result in pain and deformity of the involved digit. Tumors can be correctly diagnosed based on clinical, histological and radiographic appearance alone. Surgical resection of SE/SO is typically curative, with a small risk of recurrence.

METHODS

The study was retrospective and observational, involving 74 patients with subungual SE/SO. The surgical procedure consisted of the removal of the tumor from the dorsal approach under digital anesthesia. The procedure was assessed using a questionnaire and photo documentation after a minimum of 6 months after surgery.

RESULTS

A total of 85% of respondents were satisfied with the procedure. Nearly 80% of patients rated the cosmetic effect as good or very good. Young age and pain intensity after surgery showed statistically significant associations with worse satisfaction. Age < 18 was associated with recurrence.

CONCLUSIONS

Worse satisfaction is strongly associated with recurrence. Gender, duration of symptoms, pain before surgery and tumor size and destruction of the nail plate had no significant effect on recurrence. The technique using burr appeared to be a more effective treatment.

Predicting Return to Work after Head and Neck Cancer Treatment Is Challenging Due to Factors That Affect Work Ability

Striving to return to work is of great importance to many cancer survivors. The purpose of the study is to prospectively investigate the factors that hinder and facilitate return to work (RTW) at 3 and 12 months after the end of treatment in head and neck cancer (HNC) survivors and whether these factors influence the ability to continue working after treatment. Participants (n = 227) aged ≤ 65 years at diagnosis with HNC were included. Data were collected before the start of treatment and at 3 and 12 months after the end of treatment. The Rubin causal model was used for statistical analysis. Within the 3-month follow-up period, 92 participants had RTW and 30 had retired. At the 12-month follow-up, 80 of these participants were still working, another 51 participants had RTW, and five participants working still suffered from cancer. The hindrance to RTW within 3 months was advanced tumour stage (stage III and IV) (p = 0.0038). Hindrances to RTW at the 12-month follow-up were oral cancer (p = 0.0210) and larynx cancer (p = 0.0041), and facilitators were living in a relationship (p = 0.0445) and a white-collar job (p = 0.00267). Participants with early tumour stage (stage I and II) (p = 0.0019) and a white-collar job (p = 0.0185) had earlier RTW. The conclusion is that disease factors were the most important hindrances to RTW, and type of work and living with a spouse or partner were nonclinical factors influencing RTW.

Risk Factors for Diabetic Retinopathy in Chinese Patients with Different Diabetes Duration: Association of C-Peptide and BUN/Cr Ratio with Type 2 Diabetic Retinopathy

Background and Aim

Controlling the risk factors was the most effective strategy to prevent diabetic retinopathy (DR). This study aimed to recognize the risk factors of DR, and explores whether the effect of those factors is modified by diabetes mellitus (DM) duration.

Methods

A total of 1058 DM patients with information about DR assessment were included. DR was measured by a complete ophthalmic examination and was classified as having one or more distinct microaneurysms in the eyes. Data from the lab and clinical factors were gathered. Multivariate logistic analysis was used to examine the risk factors, and the best-fitting model was selected by a backward stepwise based on A1C.

Results

In the current study, 274 (25.9%) patients developed DR. In the entire subjects, baseline age, the level of C-peptide, and urinary creatinine were all presented as protective effects of DR, whose odds ratios (ORs) and 95% confidence intervals (CIs) were 0.79 (0.62, 0.99), 0.75 (0.61, 0.91), and 0.70 (0.52, 0.93), respectively. Conversely, systolic pressure (SBP), urinary albumin, and BUN/Cr ratio were the important risk factors for DR with ORs (95% CIs) 1.21 (1.01, 1.46), 1.55 (1.30, 1.84), and 1.33 (1.11, 1.59), respectively. In stratification analysis, females with higher SBP would be more likely to develop DR in the short-duration group, while C-peptide and urinary creatinine showed protective effects in the long-duration group. BUN/Cr ratio all presented as a risk factor, with ORs 1.38 (p = 0.041) and 1.33 (p = 0.014) in short- and long-duration groups, respectively.

Conclusion

Although renal functions presented a significant association with DR in all DM patients, the risk factors of DR varied widely in different disease-duration subjects. Target strategies to prevent DR should be put forward individually, considering the patient's DM duration. Improving the BUN/Cr ratio may be beneficial to delaying DR.

Association of common BRCA1 variants with predisposition to breast tumors in Pakistan

BRCA1 variants are extensively associated with increased risk of breast cancer. Early detection and screening of variants is still rare in developing countries. Here, we investigated six BRCA1 variants in 300 subjects from Pakistani population using tetra amplification-refractory mutation system (T-ARMS) PCR. Our results indicate significant association of BRCA1 variants rs8176237 (AA; OR 8.2, 95% CI 3.02-22.64, p < 0.0001), rs1060915 (CC; OR 4.29, 95% CI 1.94-9.48, p = 0.0003), and rs799912 (TT; OR 3.16, 95% CI 1.44-6.94, p = 0.004) with up to 8-fold increased odds of breast cancer under recessive model. Furthermore, BRCA1 haplotypes AGCACG and AGCCCT were associated with up to 18% breast cancer cases (p < 0.05). Additionally, we found association of these variants with up to 11-fold increased odds of benign breast tumors. Linkage disequilibrium (LD) block-wise analysis revealed haplotypes GCAC and ATAC were associated with significantly increased risk. To our knowledge, this is the first study that identifies the association of these BRCA1 variants with breast tumors in Pakistani population. In conclusion, BRCA1 variants investigated in the present study are associated with high odds of benign- and malignant breast tumors. Studies with bigger sample size may help early detection and screening to reduce the odds of breast cancer.

Identification of Sociodemographic and Clinical Factors Influencing the Feeling of Stigmatization in People with Type 1 Diabetes

BACKGROUND

A large percentage of people with type 1 diabetes experience stigma, which may directly affect diabetes management. Moreover, it may adversely influence the acceptance of the disease and, thus, the treatment process, including compliance with medical and dietary recommendations. Therefore, it is important to seek adequate forms of counteracting the phenomenon of stigmatization. Thus, the aim of the study was to determine the factors influencing the level of perceived stigma by T1D patients, with particular emphasis on sociodemographic factors (including sex, place of residence, and education) and clinical factors related to the course of the disease.

METHODS

An observational cross-sectional online questionnaire was conducted in a group of 339 people with T1D. The link to the questionnaire was shared via social media. The DSAS-1 questionnaire translated into Polish was used as the research tool.

RESULTS

A moderate level of stigmatization was found (49.78 ± 14.54 points). It was significantly lower in people living in small towns compared to rural residents (ß = -0.121, p = 0.038), lower in people in relationships compared to those who are single (ß = -0.175, p = 0.001), in people diagnosed with T1D at an older age (ß = -0.107, p = 0.048), and in those who rated their financial situation as very good vs. bad (ß = -0.314, p < 0.001). It was also found that the level of stigma significantly decreased with age (ß = -0.181, p = 0.001). In addition, a significantly higher stigma perception was uncovered in the group of people with HbA1C > 7% than in the group ≤ 7% (ß = 0.118, p = 0.030).

CONCLUSIONS

Due to the occurrence of stigma among people with T1D, which can directly affect the management of diabetes, effective and comprehensive efforts should be made to provide support to people with diabetes. It is also necessary to raise awareness among the general public and disseminate knowledge about diabetes, which can reduce stigmatization as a result. Anti-stigma messages should be included in the prevention programs about the potential side effects and risks associated with mistreating people with T1D.

Radiomics-Clinical AI Model with Probability Weighted Strategy for Prognosis Prediction in Non-Small Cell Lung Cancer

In this study, we propose a radiomics clinical probability-weighted model for the prediction of prognosis for non-small cell lung cancer (NSCLC). The model combines radiomics features extracted from radiotherapy (RT) planning images with clinical factors such as age, gender, histology, and tumor stage. CT images with radiotherapy structures of 422 NSCLC patients were retrieved from The Cancer Imaging Archive (TCIA). Radiomic features were extracted from gross tumor volumes (GTVs). Five machine learning algorithms, namely decision trees (DT), random forests (RF), extreme boost (EB), support vector machine (SVM) and generalized linear model (GLM) were optimized by a voted ensemble machine learning (VEML) model. A probabilistic weighted approach is used to incorporate the uncertainty associated with both radiomic and clinical features and to generate a probabilistic risk score for each patient. The performance of the model is evaluated using a receiver operating characteristic (ROC). The Radiomic model, clinical factor model, and combined radiomic clinical probability-weighted model demonstrated good performance in predicting NSCLC survival with AUC of 0.941, 0.856 and 0.949, respectively. The combined radiomics clinical probability-weighted enhanced model achieved significantly better performance than the radiomic model in 1-year survival prediction (chi-square test, p < 0.05). The proposed model has the potential to improve NSCLC prognosis and facilitate personalized treatment decisions.

Nurse-delivered patient education on postoperative wound care: a prospective study

OBJECTIVE

It is estimated that one in four postoperative wound complications occur within 14 days of hospital discharge. Some estimate that up to 50% of readmissions are preventable with effective postoperative education and closer follow-up. Providing patients with information enables them to detect when medical intervention may be required. The aim of this study was to describe the content of postoperative wound care education given to patients, and to identify demographic and clinical factors that predict receipt of surgical wound care education across two tertiary hospitals in Queensland, Australia.

METHOD

A prospective correlational design using structured observations, field notes and an electronic chart audit was used. A consecutive sample of surgical patients and a convenience sample of nurses were observed during episodes of postoperative wound care. Field notes were documented to gain a nuanced understanding of the wound care education delivered by nurses. Descriptive statistics were used to describe the samples. A multivariate logistic regression model was developed to describe associations between seven predictors: sex; age; case complexity; type of wound; dietetic consult; the number of postoperative days; and receipt of postoperative wound care education.

RESULTS

In total, 154 nurses delivering surgical wound care and 257 patients receiving wound care were observed. Across the combined number of patients across the two hospitals, 71/257 (27.6%) wound care episodes included postoperative wound education. The content of the wound care education mainly focused on keeping the wound dressing dry and intact, while the secondary focus was on showing patients how to remove and replace the dressing. In this study, three of the seven predictors were significant: sex (β=-0.776, p=0.013); hospital site (β=-0.702, p=0.025); and number of postoperative days (β=-0.043, p=0.039). Of these, sex was the strongest, with females twice as likely to receive some form of wound care education during the postoperative period. These predictors explained 7.6-10.3% of variance in the postoperative wound care education patients received.

CONCLUSION

Further research to develop strategies designed to improve the consistency and comprehensiveness of the postoperative wound care education delivered to patients is needed.

Perception of Treatment Success and Impact on Function with Antibiotics or Appendectomy for Appendicitis: A Randomized Clinical Trial with an Observational Cohort

OBJECTIVE

To compare secondary patient reported outcomes of perceptions of treatment success and function for patients treated for appendicitis with appendectomy vs. antibiotics at 30 days.

SUMMARY BACKGROUND DATA

The Comparison of Outcomes of antibiotic Drugs and Appendectomy trial found antibiotics noninferior to appendectomy based on 30-day health status. To address questions about outcomes among participants with lower socioeconomic status, we explored the relationship of sociodemographic and clinical factors and outcomes.

METHODS

We focused on 4 patient reported outcomes at 30 days: high decisional regret, dissatisfaction with treatment, problems performing usual activities, and missing >10 days of work. The randomized (RCT) and observational cohorts were pooled for exploration of baseline factors. The RCT cohort alone was used for comparison of treatments. Logistic regression was used to assess associations.

RESULTS

The pooled cohort contained 2062 participants; 1552 from the RCT. Overall, regret and dissatisfaction were low whereas problems with usual activities and prolonged missed work occurred more frequently. In the RCT, those assigned to antibiotics had more regret (Odd ratios (OR) 2.97, 95% Confidence intervals (CI) 2.05-4.31) and dissatisfaction (OR 1.98, 95%CI 1.25-3.12), and reported less missed work (OR 0.39, 95%CI 0.27-0.56). Factors associated with function outcomes included sociodemographic and clinical variables for both treatment arms. Fewer factors were associated with dissatisfaction and regret.

CONCLUSIONS

Overall, participants reported high satisfaction, low regret, and were frequently able to resume usual activities and return to work. When comparing treatments for appendicitis, no single measure defines success or failure for all people. The reported data may inform discussions regarding the most appropriate treatment for individuals.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier: NCT02800785.

Dry Powder Inhalation for Lung Delivery in Cystic Fibrosis

Pulmonary drug delivery has long been used for local and systemic administration of different medications used in acute and chronic respiratory diseases. Certain lung diseases, such as cystic fibrosis, rely heavily on chronic treatments, including targeted lung delivery. Pulmonary drug delivery possesses various physiological advantages compared to other delivery methods and is also convenient for the patient to use. However, the formulation of dry powder for pulmonary delivery proves challenging due to aerodynamic restrictions and the lower tolerance of the lung. The aim of this review is to provide an overview of the respiratory tract structure in patients with cystic fibrosis, including during acute and chronic lung infections and exacerbations. Furthermore, this review discusses the advantages of targeted lung delivery, including the physicochemical properties of dry powder and factors affecting clinical efficacy. Current inhalable drug treatments and drugs currently under development will also be discussed.

Clinical factors influencing knowledge and self-care practice among adults with type 2 diabetes mellitus

AIM

The objective of the study was to determine the clinical factors associated with knowledge and self-care practice among adults living with type 2 diabetes mellitus.

DESIGN

Descriptive cross-sectional design.

METHODS

A convenience sample of 330 participants was recruited over 3-months in 2018 and data were collected using a structured instrument.

RESULTS

Participants on insulin treatment modality had four times higher odds of knowledge on diabetes (B = 4.17, p = 0.023) while those on combined therapy (both oral hypoglycaemic agent and insulin) had 7.26 times higher odds of knowledge (B = 7.26, p < 0.001). Participants without medically confirmed diabetic complications had 3.66 higher odds of knowledge of diabetes (B = 3.66, p = 0.002). Participants on insulin treatment modality had a 1.4-fold higher odds of self-care practice (B = 1.4, p = 0.028). It was revealed that participants with hypertension and diabetic foot had lower odds of self-care practice (B = -1.13, p = 0.021).

CONCLUSION

In particular, participants who were on insulin and combined therapy (tablet and insulin) had higher knowledge and better self-care practice. Self-care was significantly influenced among those with, than those without diabetic foot and hypertension as complications.

Factors Influencing Contraceptive Choice During the Postpartum Period: A Qualitative Systematic Review

INTRODUCTION

The objective of this article is to identify the factors that influence the choice of contraceptive methods in the postpartum period.

METHODS

We conducted a qualitative systematic review including articles published between 2000 and 2021 on postpartum contraception and its related influential factors. Relying on Preferred Reporting Items for Systematic Reviews and Meta-Analyses and synthesis without meta-analysis checklists, the search strategy relied on a combination of 2 lists of keywords applied to 9 databases. A bias assessment was carried out with the help of the Cochrane's randomized controlled trial tool, the checklist from Downs and Black, and Consolidated criteria for reporting qualitative research (CoreQ). A thematic analysis was performed to identify categories of influential factors.

RESULTS

A total of 34 studies met our inclusion criteria and enabled us to isolate 4 categories of factors: (1) demographic and economic factors (geographic and ethnic origin, age, living environment, education/wealth), (2) clinical elements (parity, evolution of pregnancy, childbirth and afterwards, contraception used previously and its mechanism, pregnancy planning), (3) health care delivery (pregnancy monitoring, sessions about contraception, health care system, place of delivery), and (4) sociocultural factors (knowledge and beliefs about contraception, religion, the influence of family and society). The decision process related to postpartum contraception is influenced by a combination of socioenvironmental factors and clinical elements.

DISCUSSION

The main influential factors (parity, level of education, knowledge and beliefs about contraception, and influence of family) need to be addressed by clinicians during consultations. Further multivariate research should provide quantitative data on this topic.

Can the effectiveness of tonsillectomy for PFAPA syndrome be predicted based on clinical factors

OBJECTIVES

To evaluate the clinical factors associated with the outcome of tonsillectomy in children with periodic fever, aphthous stomatitis, pharyngitis, and cervical adenitis (PFAPA) syndrome, thereby clarifying who would most likely benefit from that surgery.

METHODS

This was a case-control study of 53 PFAPA patients who underwent tonsillectomy and were divided into a complete-resolution group and a postoperative-fever group. Logistic regression analyses were performed using 17 clinical factors as variables to identify factors associated with the surgical outcome. Hierarchical cluster analysis was also performed to evaluate for relationships between phenotypes and surgical outcomes.

RESULTS

Thirty-nine (73.6%) patients had complete resolution after tonsillectomy. In simple logistic regression analysis, the surgical outcome showed significant positive trends with late-onset (odds ratio [OR] 7.1, P = 0.02) and presence of headache (OR 6.5, P = 0.01). In stepwise multiple logistic regression analysis adjusted for age at onset, presence of headache was significantly associated with complete resolution (OR 6.5, P = 0.01). The complete resolution rates for each combination of headache status and age at onset were as follows: presence of headache/age at onset ≥36 months, 100% (14/14); presence of headache/age at onset <36 months, 76.9% (10/13); absence of headache/age at onset ≥36 months, 75.0% (6/8); and absence of headache/age at onset <36 months, 43.8% (7/16). In hierarchical cluster analysis, complete resolution, age at onset, and headache were in the same cluster.

CONCLUSIONS

PFAPA patients with headache and late onset responded well to tonsillectomy. The mechanisms underlying this association may warrant further investigation.

Clinical factors associated with microstructural connectome related brain dysmaturation in term neonates with congenital heart disease

Objective

Term congenital heart disease (CHD) neonates display abnormalities of brain structure and maturation, which are possibly related to underlying patient factors, abnormal physiology and perioperative insults. Our primary goal was to delineate associations between clinical factors and postnatal brain microstructure in term CHD neonates using diffusion tensor imaging (DTI) magnetic resonance (MR) acquisition combined with complementary data-driven connectome and seed-based tractography quantitative analyses. Our secondary goal was to delineate associations between mild dysplastic structural brain abnormalities and connectome and seed-base tractography quantitative analyses. These mild dysplastic structural abnormalities have been derived from prior human infant CHD MR studies and neonatal mouse models of CHD that were collectively used to calculate to calculate a brain dysplasia score (BDS) that included assessment of subcortical structures including the olfactory bulb, the cerebellum and the hippocampus.

Methods

Neonates undergoing cardiac surgery for CHD were prospectively recruited from two large centers. Both pre- and postoperative MR brain scans were obtained. DTI in 42 directions was segmented into 90 regions using a neonatal brain template and three weighted methods. Clinical data collection included 18 patient-specific and 9 preoperative variables associated with preoperative scan and 6 intraoperative (e.g., cardiopulmonary bypass and deep hypothermic circulatory arrest times) and 12 postoperative variables associated with postoperative scan. We compared patient specific and preoperative clinical factors to network topology and tractography alterations on a preoperative neonatal brain MRI, and intra and postoperative clinical factors to network topology alterations on postoperative neonatal brain MRI. A composite BDS was created to score abnormal findings involving the cerebellar hemispheres and vermis, supratentorial extra-axial fluid, olfactory bulbs and sulci, hippocampus, choroid plexus, corpus callosum, and brainstem. The neuroimaging outcomes of this study included (1) connectome metrics: cost (number of connections) and global/nodal efficiency (network integration); (2) seed based tractography methods of fractional anisotropy (FA), radial diffusivity, and axial diffusivity. Statistics consisted of multiple regression with false discovery rate correction (FDR) comparing the clinical risk factors and BDS (including subcortical components) as predictors/exposures and the global connectome metrics, nodal efficiency, and seed based- tractography (FA, radial diffusivity, and axial diffusivity) as neuroimaging outcome measures.

Results

A total of 133 term neonates with complex CHD were prospectively enrolled and 110 had analyzable DTI. Multiple patient-specific factors including d-transposition of the great arteries (d-TGA) physiology and severity of impairment of fetal cerebral substrate delivery (i.e., how much the CHD lesion alters typical fetal circulation such that the highest oxygen and nutrient rich blood from the placenta are not directed toward the fetal brain) were predictive of preoperative reduced cost (p < 0.0073) and reduced global/nodal efficiency (p < 0.03). Cardiopulmonary bypass time predicted postoperative reduced cost (p < 0.04) and multiple postoperative factors [extracorporeal membrane oxygenation (ECMO), seizures and cardiopulmonary resuscitation (CPR)] were predictive of postoperative reduced cost and reduced global/nodal efficiency (p < 0.05). Anthropometric measurements (weight, length, and head size) predicted tractography outcomes. Total BDS was not predictive of brain network topology. However, key subcortical components of the BDS score did predict key global and nodal network topology: abnormalities of the cerebellum predicted reduced cost (p < 0.0417) and of the hippocampus predicted reduced global efficiency (p < 0.0126). All three subcortical structures predicted unique alterations of nodal efficiency (p < 0.05), including hippocampal abnormalities predicting widespread reduced nodal efficiency in all lobes of the brain, cerebellar abnormalities predicting increased prefrontal nodal efficiency, and olfactory bulb abnormalities predicting posterior parietal-occipital nodal efficiency.

Conclusion

Patient-specific (d-TGA anatomy, preoperative impairment of fetal cerebral substrate delivery) and postoperative (e.g., seizures, need for ECMO, or CPR) clinical factors were most predictive of diffuse postnatal microstructural dysmaturation in term CHD neonates. Anthropometric measurements (weight, length, and head size) predicted tractography outcomes. In contrast, subcortical components (cerebellum, hippocampus, olfactory) of a structurally based BDS (derived from CHD mouse mutants), predicted more localized and regional postnatal microstructural differences. Collectively, these findings suggest that brain DTI connectome and seed-based tractography are complementary techniques which may facilitate deciphering the mechanistic relative contribution of clinical and genetic risk factors related to poor neurodevelopmental outcomes in CHD.

The Link between the Demographic and Clinical Factors and Fatigue Symptoms among Rheumatoid Arthritis Patients

Rheumatoid arthritis (RA) is a chronic systemic disease of connective tissue with periods of exacerbation and remission. Fatigue is excessive strain throughout the body that is disproportionate or unrelated to an activity or lifestyle. Fatigue is an integral part of RA in most patients. The study aimed to assess the level of fatigue in RA patients and establish the relationship between fatigue and demographic and clinical factors. The study group consisted of 128 RA patients according to European League Against Rheumatism (EULAR) criteria. The Functional Assessment of Chronic Illness Therapy-Fatigue and -Medical Outcomes Study Short Form 36 (SF-36) vitality scores were used to assess the severity of fatigue symptoms. The analyzed variables were gender, age, disease duration, education, marital status, place of residence, work and residence status, pharmacological treatment, pain, morning stiffness, hemoglobin, C-reactive protein (CRP), rheumatoid factor (RF), compression soreness, Richie Articular Index, and DAS28 disease activity. The examined patients experience chronic fatigue-the mean value on the FACIT-F scale was 24.1 ± 9.1 points and on the SF-36 Vitality score was 14.2 ± 1.8 points. There is a relationship between the level of fatigue and pain, long-lasting morning stiffness, active disease, increased soreness of joints, and low hemoglobin values. When analyzing the symptom of fatigue, each patient should be approached individually, using the existing questionnaires or asking key questions to recognize the situation. The presence of fatigue symptoms should be considered during therapy and patient care by searching for and eliminating additional, intensifying stimuli and increasing its level.

Clinical Decision-Making for Heart Failure in Kosovo: A Conjoint Analysis

BACKGROUND

Heart failure represents a life-threatening progressive condition. Early diagnosis and adherence to clinical guidelines are associated with improved outcomes for patients with heart failure. However, adherence to clinical guidelines remains limited in Kosovo.

OBJECTIVE

To assess the clinical decision-making related to heart failure diagnosis by evaluating clinicians' preferences for clinical attributes.

METHOD

Conjoint analysis with 33 clinical scenarios with physicians employed in public hospitals in Kosovo.

SETTING

Two public hospitals in Kosovo that benefited from quality improvement intervention.

PARTICIPANTS

14 physicians (internists and cardiologists) in two hospitals in Kosovo.

OUTCOME MEASURES

The primary outcome was the overall effect of clinical attributes on the decision for heart failure diagnosis.

RESULTS

When considering clinical signs, the likelihood of a heart failure diagnosis increased for ages between 60 to 69 years old (RRR, 1.88; CI 95%, 1.05-3.34) and a stable heart rate (RRR, 1.93; CI 95%, 1.05-3.55) and decreased for the presence of edema (RRR, 0.23; CI 95%, 0.15-0.36), orthopnea (RRR, 0.31; CI 95%, 0.20-0.48), and unusual fatigue (RRR, 0.61; CI 95%, 0.39-0.94). When considering clinical examination findings, the likelihood for heart failure diagnosis decreased for high jugular venous pressure (RRR, 0.49; CI 95%, 0.32-0.76), pleural effusion (RRR, 0.35; CI 95%, 0.23-0.54), hearing third heart sound, (RRR, 0.50; CI 95%, 0.33-0.77), heart murmur (RRR, 0.57; CI 95%, 0.37-0.88), troponin levels (RRR, 0.59; CI 95%, 0.38-0.91), and NTproBNP levels (RRR, 0.36; CI 95%, 0.24-0.56).

CONCLUSIONS

We often found odd and wide variations of clinical signs and examination results influencing the decision to diagnose a person with heart failure. It will be important to explore and understand these results better. The study findings are important for existing quality improvement support efforts and contribute to the standardization of clinical decision-making in the public hospitals in the country. This experience and this study can provide valuable impetus for further examination of these efforts and informing policy and development efforts in the standardization of care in the country.

Establishment of prediction algorithm for the Honghe minority group based on warfarin maintenance dose

Background: CYP2C9 and VKORC1 are important factors in warfarin metabolism. The authors explored the effects of these genetic polymorphisms and clinical factors on a warfarin maintenance dose and then established the prediction algorithm for Honghe minorities in China. Materials & methods: Quantitative fluorescence PCR determined the mutation frequency of CYP2C9 and VKORC1-1639 G>A alleles. The authors collected the relevant clinical factors, including age, gender, body surface area (BSA), international normalized ratio value, daily warfarin dose, comorbidity and concomitant prescriptions. Results: The mean values of BSA and international normalized ratio in Honghe minorities were lower than in Han Chinese (p = 0.00). The genotype of CYP2C9*1/*1 and VKORC1-1639 AA was the main allele, the mutationfrequency of VKORC1-1639 AA and the number of male of Honghe minorities were lower than that of Han Chinese (p = 0.013 and p = 0.04). The significances of the effect on actual warfarin dose value were gender, VKORC1 AA mutant, CYP2C9*1/*1, age, hypertension and BSA sequentially. Conclusion: By multiple linear regression analysis with genetic and clinical factors, the authors determined a prediction algorithm for adjusting individual dosing of warfarin in this population. Clinical trial registration number: ChiCTR2100051778.

Effect of Clinical Parameters on Risk of Death from Cancer after Radical Prostatectomy in Men with Localized and Locally Advanced Prostate Cancer

Background: The study aimed to assess predictors and to identify patients at increased risk of prostate-cancer-specific mortality (CSM) after radical prostatectomy (RP). Methods: A total of 2421 men with localized and locally advanced PCa who underwent RP in 2001−2017 were included in the study. CSM predictors were assessed using multivariate competing risk analysis. Death from other causes was considered a competing event. Cumulative CSM and other-cause mortality (OCM) were calculated in various combinations of predictors. Results: During the median 8 years (interquartile range 4.4−11.7) follow-up, 56 (2.3%) of registered deaths were due to PCa. Cumulative 10 years CSM and OCM was 3.6% (95% CI 2.7−4.7) and 15.9% (95% CI 14.2−17.9), respectively. The strongest predictors of CSM were Grade Group 5 (GG5) (hazard ratio (HR) 19.9, p < 0.0001), lymph node invasion (HR 3.4, p = 0.001), stage pT3b-4 (HR 3.1, p = 0.009), and age (HR 1.1, p = 0.0007). In groups created regarding age, stage, and GG, cumulative 10 years CSM ranged from 0.4−84.9%, whereas OCM varied from 0−43.2%. Conclusions: CSM after RP is related to GGs, pathological stage, age, and combinations of these factors, whereas other-cause mortality is only associated with age. Created CSM and OCM plots can help clinicians identify patients with the most aggressive PCa who could benefit from more intensive or novel multimodal treatment strategies.

Prognostic Value of the BIO-Ra Score in Metastatic Castration-Resistant Prostate Cancer Patients Treated with Radium-223 after the European Medicines Agency Restricted Use: Secondary Investigations of the Multicentric BIO-Ra Study

The multicentric retrospective BIO-Ra study combined inflammatory indices from peripheral blood and clinical factors in a composite prognostic score for metastatic castration-resistant prostate cancer patients receiving Radium-223 (Ra-223). In the present study, we evaluated (i) the prognostic power of the BIO-Ra score in the framework of the restricted use of Ra-223 promoted by the European Medicines Agency in 2018; (ii) the treatment completion prediction of the BIO-Ra score. Four hundred ninety-four patients from the BIO-Ra cohort were divided into three risk classes according to the BIO-Ra score to predict the treatment completion rate (p < 0.001 among all the three groups). Patients receiving Ra-223 after restriction (89/494) were at later stages of the disease compared with the pre-restriction cohort (405/494), as a higher percentage of BIO-Ra high-risk classes (46.1% vs. 34.6%) and lower median Overall survival (12.4 vs. 23.7 months, p < 0.001) was observed. Despite this clinically relevant difference, BIO-Ra classes still predicted divergent treatment completion rates in the post-restriction subgroup (72%, 52.2%, and 46.3% of patients belonging to low-, intermediate-, and high-risk classes, respectively). Although the restricted use has increased patients at higher risk with unfavourable outcome after Ra-223 treatment, the BIO-Ra score maintains its prognostic value.

Evaluation of lung tumor motion in a large sample: Target-related and clinical factors influencing tumor motion based on four-dimensional CT

Background and purpose

We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy.

Materials and methods

4DCT image data of 267 tumors from 246 patients were analyzed. The coordinates in the left–right (LR), anterior–posterior (AP), and cranial–caudal (CC) directions of the center of mass (COM) of the gross tumor volumes in 10 phases of 4DCT were measured. The peak‐to‐peak COM displacement in the LR, AP, CC, and 3D directions was calculated. The influence of target‐related and clinical factors on tumor motion was evaluated using multivariate analysis.

Results

The tumor segment location correlated with the tumor motion in each direction. Tumor size was predictive of tumor motion in the 3D (p = 0.023) and AP directions (p = 0.049). The tumor motion for metastatic tumors was smaller than that for primary tumors in the LR (p = 0.019) and AP directions (p = 0.008). The CC motion for pulmonary surgery recipients (3.8 ± 4.5 mm) was less than that for patients who had not undergone surgery (5.6 ± 5.4 mm), and no significant clinical factor was observed. BSA and BMI were positively correlated with the motion in the CC (p = 0.02) and LR directions (p = 0.002).

Conclusion

The tumor segment location was a good predictor of tumor motion. A larger tumor tends to have a smaller motion. Patients with metastatic tumors or those who have undergone pulmonary surgery exhibited smaller and more unpredictable tumor motions, which required individual assessments. Thus, clinical factors can potentially predict tumor motion.

Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma

Purpose

For timely treatment of extrahepatic metastasis and macrovascular invasion (aggressive progressive disease [PD]) in hepatocellular carcinoma, models aimed at stratifying the risks of subsequent aggressive PD should be constructed.

Patients and Methods

After dividing 332 patients from five hospitals into training (n = 236) and validation (n = 96) datasets, non-invasive models, including clinical/semantic factors (Model^CS), deep learning radiomics (Model^D), and both (Model^CSD), were constructed to stratify patients according to the risk of aggressive PD. We examined the discrimination and calibration; similarly, we plotted a decision curve and devised a nomogram. Furthermore, we performed analyses of subgroups who received different treatments or those in different disease stages and compared time to aggressive PD and overall survival in the high- and low-risk subgroups.

Results

Among the constructed models, Model^CSD, combining clinical/semantic factors and deep learning radiomics, outperformed Model^CS and Model^D (areas under the curve [AUCs] for the training dataset: 0.741, 0.815, and 0.856; validation dataset: 0.780, 0.836, and 0.862), with statistical difference per the net reclassification improvement, the integrated discrimination improvement, and/or the DeLong test in both datasets. Besides, Model^CSD had the best calibration and decision curves. The performance of Model^CSD was not affected by treatment types (AUC: resection = 0.839; transarterial chemoembolization = 0.895; p = 0.183) or disease stages (AUC: BCLC [Barcelona Clinic Liver Cancer] stage 0 and A = 0.827; BCLC stage AB &B = 0.861; p = 0.537). Moreover, the high-risk group had a significantly shorter median time to aggressive PD than the low-risk group (training dataset hazard ratio [HR] = 0.108, p < 0.001; validation dataset HR = 0.058, p < 0.001) and poorer overall survival (training dataset HR = 0.357, p < 0.001; validation dataset HR = 0.204, p < 0.001).

Conclusion

Our deep learning-based model successfully stratified the risks of aggressive PD. In the high-risk population, current guideline indicates that first-line treatments are insufficient to prevent extrahepatic metastasis and macrovascular invasion and ensure survival benefits, so more therapies may be explored for these patients.

Disseminated Intravascular Coagulopathy in Critically Ill Patients in Amman, Jordan

BACKGROUND

The disseminated intravascular coagulation (DIC) is under-recognized in critically ill patients. The International Society of Thrombosis and Haemostasis (ISTH; DIC) provides a useful scoring system for accurate DIC identification. The study investigated the period prevalence of ISTH DIC from 2015 to 2017 in critically ill patients.

METHODS

In this multi-center, retrospective observational study, we included all patients identified with a DIC code or medically diagnosed with DIC during all admissions. Based on ISTH DIC scores ≥ 5, patients were classified with overt DIC.

RESULTS

A total of 220 patients were included in this study. The period prevalence of DIC was 4.45%. The point prevalence of DIC has increased from 3.49% to 5.58% from 2015 to 2017 (27.7% female; median age 61.6 years). Based on the ISTH-Overt DIC criteria, 45.2% of the sample had sepsis. Overt DIC patients had significantly lower baseline hemoglobin (HB; t = 2.137, df = 193, p = 0.034), platelet count (t = 3.591, df = 193, p < 0.001) and elevated serum creatinine level (M = 2.1, SD = 1.5, t = 2.203, df = 193, p = 0.029) compared to non-Overt DIC. There was a statistically significant elevation in FDPs among Overt DIC compared to non-Overt DIC (χ² = 30.381, df = 1, p < 0.001). Overt DIC patients had significantly prolonged PT (U = 2,298, z = 5.7, p < 0.001), PTT (U = 2,334, z = 2.0, p = 0.045) and INR (U = 2,541, z = 5.1, p < 0.001) compared to those with non-Overt DIC.

CONCLUSION

The ISTH overt-DIC score can be used in critically ill patients regardless of the underlying disease. Efforts are required to predict and identify overt DIC using a valid scoring system on admission and follow-up of adult patients admitted to ICU.

Inflammatory indices and clinical factors in metastatic renal cell carcinoma patients treated with nivolumab: the development of a novel prognostic score (Meet-URO 15 study)

Background:

Despite the survival advantage, not all metastatic renal cell carcinoma (mRCC) patients achieve a long-term benefit from immunotherapy. Moreover, the identification of prognostic biomarkers is still an unmet clinical need.

Methods:

This multicenter retrospective study investigated the prognostic role of peripheral-blood inflammatory indices and clinical factors to develop a novel prognostic score in mRCC patients receiving at least second-line nivolumab. The complete blood count before the first cycle of therapy was assessed by calculating neutrophil-to-lymphocyte ratio (NLR), derived NLR (dNLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), systemic inflammation index (SII), and systemic inflammation response index (SIRI). Clinical factors included pre-treatment International Metastatic RCC Database Consortium (IMDC) score, line of therapy, and metastatic sites.

Results:

From October 2015 to November 2019, 571 mRCC patients received nivolumab as second- and further-line treatment in 69% and 31% of cases. In univariable and multivariable analyses all inflammatory indices, IMDC score, and bone metastases significantly correlated with overall survival (OS). The multivariable model with NLR, IMDC score, and bone metastases had the highest c-index (0.697) and was chosen for the developing of the score (Schneeweiss scoring system). After internal validation (bootstrap re-sampling), the final index (Meet-URO score) composed by NLR, IMDC score, and bone metastases had a c-index of 0.691. It identified five categories with distinctive OSs: group 1 (median OS – mOS = not reached), group 2 (mOS = 43.9 months), group 3 (mOS = 22.4 months), group 4 (mOS = 10.3 months), and group 5 (mOS = 3.2 months). Moreover, the Meet-URO score allowed for a fine risk-stratification across all three IMDC groups.

Conclusion:

The Meet-URO score allowed for the accurate stratification of pretreated mRCC patients receiving nivolumab and is easily applicable for clinical practice at no additional cost. Future steps include its external validation, the assessment of its predictivity, and its application to first-line combinations.

Impact of clinical parameters and vascular haemodynamics on arterio-venous fistula maturation in patients with end stage renal disease: A prospective study on Indian patients

BACKGROUND

About 18%-65% of Arterio-Venous fistula (AVF) made to facilitate haemodialysis in end stage renal disease patient fail to mature. This study was designed to evaluate the impact of clinical parameters and vascular haemodynamics on maturation of AVF on Indian patients.

MATERIAL AND METHODS

This was a prospective observational study. Eligible patients' clinical profiles and vascular haemodynamics by Doppler ultrasonography were noted. All patients underwent radio-cephalic AVF on the non-dominant arm under local anaesthesia. Clinical definition was used to assess success rate of AVFs which is defined as successful six settings of satisfactory dialysis. Data were analysed using Stata/12.0 software. Independent t-test, chi-square test, logistic regression analysis and multivariate analysis were used. The p-value of <0.05 was considered significant.

RESULTS

A total of 205 patients were enrolled and analysed. Among clinical factors, age, sex, serum creatinine, hypertension had no significant association with failure (p = 0.5, 0.08, 0.76 and 0.74). Patient's BMI and presence of diabetes had significant impact on outcome (p < 0.001 and 0.02 respectively). Among vascular haemodynamics, radial vein diameter of >2.5 mm and radial artery flow rate >40 ml/min had no significant association with failure (p = 0.12 and 0.28). Diameter of radial artery (>2 mm) and intra-operatively immediate thrill were independent predictor of success (p = 0.002 and <0.001).

CONCLUSION

In the present study rate of fistula, maturation was 73.2% without any post-operative radiological intervention. Radial artery diameter >2 mm and presence of immediate thrill post-operatively were significantly associated with successful cannulation.

Health-related quality of life after ischemic stroke: impact of sociodemographic and clinical factors

BACKGROUND AND AIMS

Ischemic stroke (IS) is one of the leading causes of death and long-term disability in Bulgaria. IS affects different aspects of the patient's life and results in loss of independence and poor health-related quality of life (HR-QoL). We aimed to analyze the impact of IS on HR-QoL and to identify possible associations with sociodemographic, clinical features, and vascular risk factors (RF).

METHODS

A prospective, hospital-based study was undertaken from 1 July 2019 to 31 June 2020, at a tertiary care referral center for neurological disorders in Bulgaria. A total of 150 patients with acute IS - 50 with thrombolytic and 100 with non-thrombolytic therapy - were included. Thorough clinical and sociodemographic data were collected. The NIHSS scale determined stroke severity, and HR-QoL was assessed with the Stroke Impact Scale Version 3.0 (SIS 3.0) during the first 3 months.

RESULTS

The overall HR-QoL improved during the observation period, but still, it remained significantly worse. The major predictors of a marked reduction in HR-QoL were age, female sex, lower education level, and actively working at stroke onset, high NIHSS score, anterior circulation stroke, and more extended hospital. Atrial fibrillation and heart failure were significantly associated with poor HR-QoL. The other investigated vascular risk factors were associated with different extends with poorer HR-QoL, except for dyslipidemia.

CONCLUSION

Stroke survivors have significantly reduced HR-QoL. Multiple interacting factors are associated with an unfavorable outcome after IS. Early detection of these factors would help to improve the care for IS patients, to reduce disabilities and improve HR-QoL.

Analysis of clinical factors and reasons that influence the disposition of cryopreserved embryos in Japanese patients with infertility treated in our clinic

AIM

To investigate the clinical factors and factors that affect the decisions regarding storage of cryopreserved embryos obtained using assisted reproductive technology.

METHODS

Clinical characteristics affecting the decisions regarding cryopreserved embryos were analyzed in 5724 Japanese couples who underwent in vitro fertilization (IVF) or intra-cytoplasmic sperm insemination (ICSI) and embryo transfer over 4 years since April 2015 at our clinic. Statistical analysis was carried out using JMP software.

RESULTS

The number of oocytes retrievals and embryos stored, outcomes and number of children, and age of the female patients and male partners were related to the decision-making regarding cryopreserved embryos. Childbearing and no wish for another child were the major reasons for discontinuing embryo storage. The number of oocytes retrievals and embryos in storage, age of the female patients, and sex of the child were independently associated with this decision-making in 2682 patients with a single child. Women with male children were more likely to choose discontinuation of embryo storage than those with female children.

CONCLUSION

Already having a child and not wishing for further treatment due to age along with the presence of a male child affect the decision to continue or discontinue embryo storage in Japanese patients with infertility.

Shoulder patients in primary and specialist health care. A cross-sectional study

OBJECTIVES

Shoulder pain is a prevalent problem and has a considerable impact on the use of primary and specialist health care in Norway. It is important to improve short-term recovery and reduce long-term consequences regarding pain and disability, the high costs of treatment and the amount of sick-leave. Treatment for non-specific shoulder pain is mainly non-operative. The aims of this study were to investigate if there are differences in main characteristics, pain and disability (SPADI-score) and psycho-social factors between patients in primary and specialist health care.

METHODS

This cross-sectional study included patients consulting physiotherapy in primary health care and patients at an outpatient clinic in specialist health care. Well-known and tested questionnaires for these populations were used and variables were divided into clinical, sociodemographic, psycho-social, and shoulder pain and disability. Descriptive statistics were applied. Two-sample t-test and linear regression were used for continuous data whereas chi-square tests and logistic regression were applied to test differences in categorical data between the two study populations.

RESULTS

Two hundred and 36 patients were recruited from primary health care (FYSIOPRIM, Physiotherapy In Primary Care) and 167 from specialist health care. Patients in primary health care reported less regular use of pain medication (30.7 vs. 61.3%) and fewer patients had symptom duration >12 months (41.9 vs. 51.0%). Furthermore, they reported lower pain intensity, less shoulder pain and disability (SPADI-score), lower scores on psycho-social factors, but higher on expectations of recovery.

CONCLUSIONS

Patients with shoulder pain treated in primary health care and in specialist health care are different according to factors such as duration of symptoms, pain and disability, and some of the psycho-social variables. However, the differences are small and the variations within the two study samples is large. Patients treated in primary health care seemed to be less affected and to have higher expectations concerning their recovery. However, based on our results we may question why many patients are referred to specialist health care rather than continuing treatment in primary health care.

Dry Powder for Pulmonary Delivery: A Comprehensive Review

The pulmonary route has long been used for drug administration for both local and systemic treatment. It possesses several advantages, which can be categorized into physiological, i.e., large surface area, thin epithelial membrane, highly vascularized, limited enzymatic activity, and patient convenience, i.e., non-invasive, self-administration over oral and systemic routes of drug administration. However, the formulation of dry powder for pulmonary delivery is often challenging due to restrictions on aerodynamic size and the lung’s lower tolerance capacity in comparison with an oral route of drug administration. Various physicochemical properties of dry powder play a major role in the aerosolization, deposition, and clearance along the respiratory tract. To prepare suitable particles with optimal physicochemical properties for inhalation, various manufacturing methods have been established. The most frequently used industrial methods are milling and spray-drying, while several other alternative methods such as spray-freeze-drying, supercritical fluid, non-wetting templates, inkjet-printing, thin-film freezing, and hot-melt extrusion methods are also utilized. The aim of this review is to provide an overview of the respiratory tract structure, particle deposition patterns, and possible drug-clearance mechanisms from the lungs. This review also includes the physicochemical properties of dry powder, various techniques used for the preparation of dry powders, and factors affecting the clinical efficacy, as well as various challenges that need to be addressed in the future.

Factors correlated with intracranial interictal epileptiform discharges in refractory epilepsy

OBJECTIVE

This study was undertaken to evaluate the influence that subject-specific factors have on intracranial interictal epileptiform discharge (IED) rates in persons with refractory epilepsy.

METHODS

One hundred fifty subjects with intracranial electrodes performed multiple sessions of a free recall memory task; this standardized task controlled for subject attention levels. We utilized a dominance analysis to rank the importance of subject-specific factors based on their relative influence on IED rates. Linear mixed-effects models were employed to comprehensively examine factors with highly ranked importance.

RESULTS

Antiseizure medication (ASM) status, time of testing, and seizure onset zone (SOZ) location were the highest-ranking factors in terms of their impact on IED rates. The average IED rate of electrodes in SOZs was 34% higher than the average IED rate of electrodes outside of SOZs (non-SOZ; p < .001). However, non-SOZ electrodes had similar IED rates regardless of the subject's SOZ location (p = .99). Subjects on older generation (p < .001) and combined generation (p < .001) ASM regimens had significantly lower IED rates relative to the group taking no ASMs; newer generation ASM regimens demonstrated a nonsignificant association with IED rates (p = .13). Of the ASMs included in this study, the following ASMs were associated with significant reductions in IED rates: levetiracetam (p < .001), carbamazepine (p < .001), lacosamide (p = .03), zonisamide (p = .01), lamotrigine (p = .03), phenytoin (p = .03), and topiramate (p = .01). We observed a nonsignificant association between time of testing and IED rates (morning-afternoon p = .15, morning-evening p = .85, afternoon-evening p = .26).

SIGNIFICANCE

The current study ranks the relative influence that subject-specific factors have on IED rates and highlights the importance of considering certain factors, such as SOZ location and ASM status, when analyzing IEDs for clinical or research purposes.

The prognosis of brain magnetic resonance imaging injury pattern for outcomes of hypothermia-treated infants

Magnetic resonance imaging (MRI) can be a tool that allows the observation of structural injury patterns after cooling. The aim of this study was to determine the early pattern of brain injury in the MRIs of infants with hypoxic ischemic encephalopathy (HIE) after cooling and to search for any clinical factors related to abnormal MRI findings.The study retrospectively recruited 118 infants who were treated with therapeutic hypothermia (TH) between 2013 and 2016.Forty-three patients had normal brain MRI, and 75 had abnormal brain MRI findings. The TH-treated infants with abnormal brain MRI readings showed significantly more clinical seizures and the use of additional antiepileptic drugs (AEDs) than the normal MRI group. As a long-term outcome, more lesions in the basal ganglia and thalamus, posterior limb of internal capsule, or severe white matter lesions were associated with abnormal neurodevelopmental outcomes at 18 to 24 months of age.A higher frequency of clinical seizures and AED use were related to abnormal brain injury on MRI. A significant risk for poor long-term outcomes was found in the abnormal brain MRI group.

Warfarin dosing algorithms: A systematic review

Aims

Numerous algorithms have been developed to guide warfarin dosing and improve clinical outcomes. We reviewed the algorithms available for various populations and the covariates, performances and risk of bias of these algorithms.

Methods

We systematically searched MEDLINE up to 20 May 2020 and selected studies describing the development, external validation or clinical utility of a multivariable warfarin dosing algorithm. Two investigators conducted data extraction and quality assessment.

Results

Of 10 035 screened records, 266 articles were included in the review, describing the development of 433 dosing algorithms, 481 external validations and 52 clinical utility assessments. Most developed algorithms were for dose initiation (86%), developed by multiple linear regression (65%) and mostly applicable to Asians (49%) or Whites (43%). The most common demographic/clinical/environmental covariates were age (included in 401 algorithms), concomitant medications (270 algorithms) and weight (229 algorithms) while CYP2C9 (329 algorithms), VKORC1 (319 algorithms) and CYP4F2 (92 algorithms) variants were the most common genetic covariates. Only 26% and 7% algorithms were externally validated and evaluated for clinical utility, respectively, with <2% of algorithm developments and external validations being rated as having a low risk of bias.

Conclusion

Most warfarin dosing algorithms have been developed in Asians and Whites and may not be applicable to under‐served populations. Few algorithms have been externally validated, assessed for clinical utility, and/or have a low risk of bias which makes them unreliable for clinical use. Algorithm development and assessment should follow current methodological recommendations to improve reliability and applicability, and under‐represented populations should be prioritized.

Clinical characteristics and survival of 5283 esophageal cancer patients: A multicenter study from eighteen hospitals across six regions in China

Objective

This study aimed to investigate the potential determining epidemiological and clinical risk factors affecting the survival of esophageal cancer (EC) patients across multiple hospitals in China.

Methods

This was a multicenter study comprising of newly diagnosed EC cases from Beijing, Hebei, Henan, Hubei, Zhejiang, and Guangdong Province of China. Their baseline characteristics and treatment methods data were collected from their medical records. The EpiData software was used for data quality control. The Kaplan‐Meier method was used to estimate their overall survival (OS), and the Cox's proportional hazard regression model was used to estimate hazard ratios (HR) and 95% confidence interval (CI).

Results

The 3‐ and 5‐year OS rates of the 5283 investigated EC patients were 49.98% and 39.07%, respectively. Their median survival was 36.00 months. The median survival time of females was longer than that of males (females vs. males: 45.00 vs. 33.00, P < 0.001). The 5‐year OS rate of patients who never‐smoked was higher than that of smokers (never‐smokers vs smokers: 40.73% vs. 37.84%, P = 0.001). There was no significant difference in the 5‐year OS rate between drinkers and never‐drinkers (drinkers vs never‐drinkers: 34.22% vs. 29.65%, P = 0.330). In multivariate analysis, pathological stage (stage II: HR = 1.80, 95% CI = 1.40‐2.31; stage III: HR = 2.62, 95% CI = 2.06‐3.34; stage IV: HR = 3.90, 95% CI = 2.98‐5.09), poor differentiation/undifferentiated (HR = 1.34, 95% CI = 1.11‐1.63), not married status (HR = 2.45, 95% CI = 1.49‐4.04), production and service personnel (HR = 1.36, 95% CI = 1.01‐1.83) and farming/fishing (HR = 1.40, 95% CI = 1.12‐1.76) were independent prognostic risk factors for poor EC survival. Tumors in the thoracic or abdominal part of the esophagus, female and family history of any cancer were independent factors predictive of a good EC OS.

Conclusion

Gender, marital status, occupation, family history of any cancer, tumor topographical site, differentiation status, and pathological stage were associated with the survival rate of EC. This study reveals important clinical characteristics of esophageal cancer patients in China and provides helpful information for their clinical management and surveillance.

Parental risk factors for fever in their children 7-10 days after the first dose of measles-containing vaccines

We evaluated whether parental clinical conditions were associated with fever after a first dose of measles-containing vaccine (MCV) in the child in a cohort study including 244,125 children born in Kaiser Permanente Northern California between 2009 and 2016 who received MCV between ages 1 and 2 years. Each child was linked with his/her mother and father when possible. Parental clinical conditions present before and after their child’s birth were identified. We defined fever in the children as clinic and emergency department visits with a fever code 7–10 days after a first dose of MCV (“MCV-associated fever”). We evaluated parental clinical conditions associated with MCV-associated fever using multivariate logistic regression analyses. After adjusting for multiple factors, including healthcare utilization, maternal fever [odds ratio (OR) = 1.19, 95% confidence interval (CI) 1.06–1.32], fever after MCV (OR = 5.90, 95% CI 1.35–25.78), respiratory infections (OR = 1.20, 95% CI 1.10–1.31), migraine (OR = 1.14, 95% CI 1.05–1.24), syncope (OR 1.14, 95% CI 1.01–1.27), and essential thrombocythemia (OR = 1.93, 95% CI 1.15–3.25) were significantly associated with MCV-associated fever. Paternal respiratory infections (OR = 1.15, 95% CI 1.05–1.27), fever associated with respiratory infections (OR = 1.47, 95% CI 1.23–1.76), and vitiligo (OR = 1.63, 95% CI 1.06–2.53) were significantly associated with MCV-associated fever. Parental clinical conditions, specifically fever alone and fever associated with respiratory infection, are associated with fever in their child 7–10 days after MCV.

Hospital length of stay following first-time elective open posterior lumbar fusion in elderly patients: a retrospective analysis of the associated clinical factors

To identify independent factors associated with prolonged hospital length of stay (LOS) in elderly patients undergoing first-time elective open posterior lumbar fusion surgery.We retrospectively analyzed the data of 303 elderly patients (age range: 60-86 years) who underwent first-time elective open lumbar posterior fusion surgery at our center from December 2012 to December 2017. Preoperative and perioperative variables were extracted and analyzed for all patients, and multivariate stepwise regression analysis was used to determine the variables affecting the LOS and important predictors of LOS prolongation (P < .001).The mean age of the patients was 67.0 ± 5.5 years, and the mean LOS was 18.5 ± 11.8 days, ranging from 7 to 103 days. Of the total, 166 patients (54.8%) were men and 83 patients (27.4%) had extended LOS. Multiple linear regression analysis determined that age (P < .001), preoperative waiting time ≥7 days (P < .001), pulmonary comorbidities (P = .010), and diabetes (P = .010) were preoperative factors associated with LOS prolongation. Major complications (P = .002), infectious complications (P = .001), multiple surgeries (P < .001), and surgical bleeding (P = .018) were perioperative factors associated with LOS prolongation. Age (P < .001), preoperative waiting time ≥7 days (P < .001), infectious complications (P < .001), and multiple surgeries (P < .001) were important predictors of LOS prolongation.Extended LOS after first-time elective open posterior lumbar fusion surgery in elderly patients is associated with factors including age, preoperative waiting time, infectious complications, and multiple surgeries. Surgeons should recognize and note these relevant factors while taking appropriate precautions to optimize the modifiable factors, thereby reducing the LOS as well as hospitalization costs.

Outcome prediction for patients with anterior circulation acute ischemic stroke following endovascular treatment: A single-center study

Previous studies have identified various factors associated with the outcomes of acute ischemic stroke (AIS) but considered only 1 or 2 predictive factors. The present study aimed to use outcome-related factors derived from biochemical, imaging and clinical data to establish a logistic regression model that can predict the outcome of patients with AIS following endovascular treatment (EVT). The data of 118 patients with anterior circulation AIS (ACAIS) who underwent EVT between October 2014 and August 2018 were retrospectively analyzed. The patients were divided into 2 groups based on the modified Rankin Scale score at three months after surgery, where 0–2 points were considered to indicate a favorable outcome and 3–6 points were considered a poor outcome. Non-conditional logistic stepwise regression was used to identify independent variables that were significantly associated with patient outcome, which were subsequently used to establish a predictive statistical model, receiver operating characteristic (ROC) curve was used to show the performance of statistical model and analyze the specific association between each factor and outcome. Among the 118 patients, 47 (39.83%) exhibited a good and 71 (60.17%) exhibited a poor outcome. Multivariate analysis revealed that the predictive model was statistically significant (χ²=78.92; P<0.001), and that the predictive accuracy of the model was 83.1%, which was higher compared with that obtained using only a single factor. ROC curve analysis shows the area under curve of the statistical model was 0.823, the analysis of diagnostic threshold for prognostic factors indicated that age, diffusion-weighted imaging lesion volume, glucose on admission, National Institutes of Health Stroke Scale score on admission and hypersensitive C-reactive protein were valuable predictive factors for the outcome of EVT (P<0.05). In conclusion, a predictive model based on non-conditional logistic stepwise regression analysis was able to predict the outcome of EVT for patients with ACAIS.

Development of clinical value unit method for calculating patient costs

The objective of the study was to develop the clinical value unit method of allocating indirect costs to patient costs using clinical factors. The method was tested to determine whether it is a more reliable alternative to using the length of stay and marginal mark-up allocation method. The method developed used data from a Polish specialist hospital. The study involved 4,026 patients grouped into nine diagnosis-related groups (DRG). The study methodology involved a three stage approach: (a) identification of correlates of patient costs, (b) a comparison of the costs calculated using the clinical value unit method with the alternative methods: length of stay and marginal mark-up methods, and (c) an estimation of the cost homogeneity of the DRGs. The study showed that length of stay cost allocation method may underestimate the proportion of indirect costs in patient costs for a short in-patient stay and overestimate the cost for the patients with a long stay. The total costs estimated using the marginal mark-up method were higher than those estimated with length of stay method. For most surgical procedures, the mean indirect costs are higher using clinical value unit method than when using length of stay or marginal mark-up method. In all medical procedure cases, the mean indirect costs calculated using the clinical value unit method are in the range between marginal mark-up and length of stay method. We also show that in all DRGs except one, that the coefficient of homogeneity for clinical value unit is higher than for length of stay or marginal mark-up method. We conclude that the clinical value unit method of cost allocation is a more precise and reliable alternative than the other methods.

Clinical factors associated with circulating tumor DNA (ctDNA) in primary breast cancer

Noninvasive circulating tumor DNA (ctDNA) can be used to predict breast cancer recurrence and prognosis. In this study, we detected 226 and 114 somatic variants in tumor DNA from 70 primary breast cancer (PBC) patients (98.59%) and ctDNA from 48 patients (67.61%), respectively. Gene frequencies of tumor DNA and ctDNA significantly correlated (R²  = 0.9532, P < 0.0001), and tumor-derived variants were detectable in the blood of 43 patients. ctDNA was more often detected in locally advanced/metastatic and nonluminal patients. Multivariate analysis revealed that individual N stage (P < 0.001) and hormone receptor (HR) status (P = 0.001) could independently predict the detectability of tumor-derived mutations in blood. The maximal variant allele frequency of ctDNA was significantly higher in patients with stage IV/M1 (P = 0.0136) and stage T3/T4 (P = 0.0085) cancers. Finally, clonal variants in tumor DNA were more easily traced in ctDNA than subclonal variants (84.62% vs 48.75%). In conclusion, ctDNA fragments concordant with tumor DNA can be consistently detected in the majority of tested PBC patients, which may enable noninvasive genomic profiling of PBC, particularly for patients with advanced-stage tumors and positive HR status.

Variation in seclusion rates across New Zealand's specialist mental health services: Are sociodemographic and clinical factors influencing this?

Rates of seclusion vary across New Zealand's publicly funded district health board (DHB) adult mental health inpatient services as indicated by national data. Anecdotally, this variation has been attributed to a range of factors directly relating to the people admitted to acute inpatient services. This study examined the extent to which variation in seclusion rates could be explained by the sociodemographic and clinical differences between populations admitted into adult mental health inpatient services. Retrospective data were obtained from the Programme for the Integration of Mental Health Data (PRIMHD). A logistic regression model was fitted to these data, with seclusion (yes/no) as the dependent variable and DHB groups as the independent variable. The DHBs were classified into four groups based on their seclusion rates. The model adjusted for ethnicity, age, number of bed nights, total Health of the Nation Outcome Scales (HoNOS) scores, and compulsory treatment status. Odds ratios remained virtually unchanged after adjustment for sociodemographic and clinical factors. People admitted to DHB Group 4 (highest secluding DHBs) were 11 times more likely to be secluded than people in Group 1 (lowest secluding DHBs), adjusted OR = 11.1, 95% CI [7.5,16.4], P < 0.001. Results indicate DHB variation in seclusion rates cannot be attributed to the sociodemographic and clinical factors of people admitted into DHB adult mental health inpatient services. Instead, this variation may be explained by differences in service delivery models and practice approaches. A model of system improvements aimed at reducing seclusion is discussed.

Clinical factors associated with circulating tumor DNA (ctDNA) in primary breast cancer

Noninvasive circulating tumor DNA (ctDNA) can be used to predict breast cancer recurrence and prognosis. In this study, we detected 226 and 114 somatic variants in tumor DNA from 70 primary breast cancer (PBC) patients (98.59%) and ctDNA from 48 patients (67.61%), respectively. Gene frequencies of tumor DNA and ctDNA significantly correlated (R²  = 0.9532, P < 0.0001), and tumor-derived variants were detectable in the blood of 43 patients. ctDNA was more often detected in locally advanced/metastatic and nonluminal patients. Multivariate analysis revealed that individual N stage (P < 0.001) and hormone receptor (HR) status (P = 0.001) could independently predict the detectability of tumor-derived mutations in blood. The maximal variant allele frequency of ctDNA was significantly higher in patients with stage IV/M1 (P = 0.0136) and stage T3/T4 (P = 0.0085) cancers. Finally, clonal variants in tumor DNA were more easily traced in ctDNA than subclonal variants (84.62% vs 48.75%). In conclusion, ctDNA fragments concordant with tumor DNA can be consistently detected in the majority of tested PBC patients, which may enable noninvasive genomic profiling of PBC, particularly for patients with advanced-stage tumors and positive HR status.

Predictive Factors of Treatment Resistance in First Episode of Psychosis: A Systematic Review

Background: Clinical and functional outcome improvement in psychotic disorders is a challenge for the investigators. Recent advances offered opportunities for ameliorating the course of the illness during its early stages and for identifying treatment-resistant patients. Patients who had not response to two different antipsychotics, administered at correct doses for a sufficient period, can be operationally considered treatment-resistant. Available evidence suggested that the response's trajectory to the antipsychotic treatment revealed that a small proportion of subjects are poor responders (8.2%), the majority of patients have a moderate response (76.4%), and only 15.4% can be considered rapid responders with the greatest magnitude of response. Patients with first episode of psychosis generally obtain a more favorable response profile. Nevertheless, in around 25% of these patients symptoms of psychosis persist with a worse long-term course of illness. Objectives: The aim of this review is to report current evidences on the main predictors of treatment non-response in patients at early stage of psychosis. Methods: We used a specific string that guaranteed a high sensitive search in pubmed. We included the following types of publications: randomized-controlled trials, observational studies, longitudinal studies, retrospective studies, case-control studies, open-label investigations, cohort studies, and reviews. Publications must concern predictors of treatment resistance in early psychosis. Results: Forty-seven records were included: 5 reviews, 3 meta-analyses, 22 longitudinal studies, 2 retrospective studies, 1 naturalistic study, 6 randomized controlled trials, 2 open-label studies, 2 case-control studies, 4 cohort studies, 2 retrospective studies. Several factors were identified as predictors of treatment resistance: lower premorbid functioning; lower level of education; negative symptoms from first psychotic episode; comorbid substance use; younger age at onset; lack of early response; non-adherence to treatment; and longer duration of untreated psychosis. The role of gender and marital status is still controversial. More evidences are needed about neurobiological, genetic, and neuroimaging factors. Conclusions: The identification of specific predictive factors of treatment resistance in patients with first episode of psychosis ameliorates the quality of clinical management of these patients in the critical early phase of schizophrenia.

Factors influencing adherence to treatment in older adults with hypertension

PURPOSE

Hypertension (HT) is considered to be the most common disorder in the general population. Demographic data indicate that older adults commonly suffer from HT. Older age is one of the key factors affecting the adherence of patients with HT. The main purpose was to identify demographic, socioeconomic, and clinical factors that affect adherence in older adults with HT.

MATERIALS AND METHODS

This cross-sectional study included 150 patients (84 women and 66 men) with mean age of 72.1 years. The Hill-Bone Compliance to High Blood Pressure Therapy Scale (Hill-Bone CHBPTS) was used to evaluate the adherence to therapeutic recommendations for HT.

RESULTS

The mean score obtained by the patients in the Hill-Bone CHBPTS was 20.19 (SD±4.05). The linear regression model showed the independent predictors of the total score (P<0.05): 1) age, each subsequent year of life raises the total score by an average of 0.2 points; 2) gender, males raise it by an average of 1.34 points compared to females; 3) education, a secondary, higher, or higher professional education lowers it by an average of 1.75 points compared to a primary education or no education; and 4) living with the family, having familial support lowers it by an average of 1.91 points compared to living alone or in an organized institution.

CONCLUSION

Our study has shown that the variables of age, education level, and living with the family were statistically significant in explaining the adherence rates. Health care professionals should pay more attention to older HT patients who have a low level of education and who experience the lack of social support. There is a need for a tailored education among this group of patients to better understand and adhere to medication treatment.

Preliminary Study of Dynamic Cerebral Autoregulation in Acute Ischemic Stroke: Association With Clinical Factors

Background and Purpose: Dynamic cerebral autoregulation (dCA) is probably impaired in the acute and even subacute phases after acute ischemic stroke (AIS); however, the relationship between relevant clinical factors and dCA after AIS has not been investigated. The identification of possible determinants may therefore provide potential therapeutic targets to improve dCA in AIS.

Methods: This study enrolled 67 consecutive patients diagnosed with AIS within 3 days from symptom onset. Serial measurements were performed 1–3 days (measurement 1) and 7–10 days (measurement 2) after the onset. Middle cerebral artery blood flow velocities and simultaneous arterial blood pressure (ABP) were recorded continuously with transcranial Doppler combined with a servo-controlled finger plethysmograph. Transfer function analysis was used to derive dCA parameters, phase difference (PD), and coherence in low-frequency range (0.06–0.12 Hz). Univariate and multivariate linear regression analyses were conducted to determine the relationship between clinical factors and PD within the two time points of measurements. Multivariate logistic regression was performed to reveal the relationship between PD and clinical outcomes.

Results: Bilateral PD was significantly lower (indicating impaired dCA) in AIS patients, both in measurement 1 and measurement 2 when compared with those of healthy controls (all P < 0.001). After controlling for relevant clinical factors, in measurement 1, age (β = −0.29, P = 0.01), recombinant tissue plasminogen activator (rt-PA) intravenous thrombolysis (β = 0.25, P = 0.034), subtype of large-artery atherosclerosis (LAA) (β = −0.31, P = 0.007), and uric acid level (β = −0.32, P = 0.009) were significant independent predictors of ipsilateral PD. In measurement 2, subtype of LAA (β = −0.28, P = 0.049) and uric acid level (β = −0.43, P = 0.005) were still significant predictive values for ipsilateral PD. After adjusting for age and National Institutes of Health Stroke Scale at admission, ipsilateral PD >35.37° in measurement 2 was independent predictor of good clinical outcomes (adjusted OR = 6.97, 95% CI: 1.27–38.14, P = 0.03).

Conclusion: DCA was sustained to be bilaterally impaired in the acute and even subacute phase after AIS. Patients who receiving rt-PA thrombolysis tended to have a better dCA in the acute phase. Increasing age, subtype of LAA, and higher uric acid level had prognostic value for disturbed autoregulation. A relatively preserved dCA may predict good clinical outcomes.

A review of factors associated with severe violence in schizophrenia

BACKGROUND

There is a modest but consistent association between violence and schizophrenia. The consequences of serious violence could be catastrophic for the victims, as well as the patients themselves and the community. Any knowledge that would help to prevent acts of serious violence would be of considerable value for the individual and the society.

AIM

To identify external and clinical risk factors for serious violence in schizophrenia, in addition to considering the strength of the association between the factors assessed and severe violence.

METHODS

This was accomplished by a literature survey. One-hundred and two relevant papers were identified that were published during the past 20 years. Forty-four papers were assessed for eligibility. In all, 27 studies including clinical or cognitive variables were reviewed systematically. An effect size was reported where an odds ratio (OR) could be identified or calculated from available data. Five external factors and six clinical domains were evaluated.

RESULTS

Substance abuse is robustly linking schizophrenia and violence. Among the clinical factors, insight, impulsivity, psychopathy, motor speed and a global measure of cognition are the factors with the strongest empirical evidence for an association with severe violence.

CONCLUSION

This is the first systematic review of risk factors for severe violence in schizophrenia, in which a great number of clinical and external factors have been evaluated. Most of the clinical factors have been compared on effect size. The identified factors that represent an increased risk of violence in patients with schizophrenia should be included in risk assessments.

Sociodemographic and clinical factors affecting the quality of life of patients with chronic obstructive pulmonary disease

Background

COPD remains a significant challenge for contemporary medicine. It is one of the most common respiratory illnesses and leads to disability as well as deteriorating patient’s quality of life (QOL).

Objective

The objective of this study was to determine the impact of selected sociodemographic and clinical factors on QOL and level of illness acceptance (LIA) of patients with COPD.

Design

This study was a cross-sectional, prospective, observational study.

Patients and methods

The study involved 100 patients (34 women and 66 men) suffering from COPD for at least half a year, treated in the Allergology Clinic at the Department of Internal Medicine, Geriatrics and Allergy, Wroclaw Medical University in Poland. Standardized questionnaires such as Short Form-36 Health Survey, Saint George’s Respiratory Questionnaire, Acceptance of Illness Scale, and COPD Author’s Questionnaire were used to assess QOL and LIA.

Results

Among the most significant results, there were no statistically significant differences between the patients’ sex and their QOL and LIA (P>0.05). It has been observed that with an increase in the age of patients, a statistically significant decrease in LIA is observed, especially after 60 years of age (P=0.001). It was found that the higher level of education of the patients was statistically significant in the higher QOL (P<0.05) and in the greater LIA (P<0.05). Interestingly, there was no statistically significant effect of active smoking and overweight on QOL and LIA (P>0.05).

Conclusion

Sex of COPD patients does not affect their QOL or LIA, nonetheless, the age decreases the level of QOL and LIA. Higher education improves QOL scores; however, factors such as dyspnea, longer duration of illness, comorbidities, oxygen therapy undertaking, and family burden of respiratory disease affect deterioration of QOL.