Quality of life of adolescents with menstrual problems in Klang Valley, Malaysia: a school population-based cross-sectional study

ObjectiveTo describe the prevalence of menstrual problems (heavy menses bleeding, dysmenorrhoea and oligomenorrhoea) and its impact towards quality of life among adolescents in Klang Valley, Malaysia.DesignCross-sectional study.SettingAdolescent girls at secondary schools in the Klang Valley, Malaysia.Population729 adolescents aged between 13 and 18 years.MethodA questionnaire survey using Menorrhagia Questionnaire and Paediatric Quality of Life-Teen Report Ages 13–18 (PedsQL).Main outcome measuresSelf reports of menstrual bleeding patterns, morbidities and effect on quality of life.ResultsThe prevalence of menstrual problems among adolescents was 63.9% in the Klang Valley. Adolescents with menstrual problems had significant lower mean total score of PedsQL (70.23±13.53 vs 76.36±14.93, p=0.001), physical health summary score (74.10±16.83 vs 79.00±15.86, p<0.001) and psychosocial health summary score (68.05±14.27 vs 73.21±13.09, p=0.001) compared with those without menstrual problem. Adolescents experiencing heavy menses bleeding had the lowest physical and emotional function. Those with oligomenorrhoea had the lowest social function, whereas those with dysmenorrhoea had the lowest school function. Cigarette smoking, alcohol and medical illness had lower health-related quality of life, whereas taking oral contraceptive pills for menstrual problems was associated with higher scores in these adolescents.ConclusionMenstrual problems among adolescents have a significant impact on their quality of life. It is probably wise to screen them at the school level, to identify those with low functional scores and to refer them for proper management at a tertiary adolescent gynaecology centre.

Breast Cancer Surgery 10-Year Survival Prediction by Machine Learning: A Large Prospective Cohort Study

Machine learning algorithms have proven to be effective for predicting survival after surgery, but their use for predicting 10-year survival after breast cancer surgery has not yet been discussed. This study compares the accuracy of predicting 10-year survival after breast cancer surgery in the following five models: a deep neural network (DNN), K nearest neighbor (KNN), support vector machine (SVM), naive Bayes classifier (NBC) and Cox regression (COX), and to optimize the weighting of significant predictors. The subjects recruited for this study were breast cancer patients who had received breast cancer surgery (ICD-9 cm 174–174.9) at one of three southern Taiwan medical centers during the 3-year period from June 2007, to June 2010. The registry data for the patients were randomly allocated to three datasets, one for training (n = 824), one for testing (n = 177), and one for validation (n = 177). Prediction performance comparisons revealed that all performance indices for the DNN model were significantly (p < 0.001) higher than in the other forecasting models. Notably, the best predictor of 10-year survival after breast cancer surgery was the preoperative Physical Component Summary score on the SF-36. The next best predictors were the preoperative Mental Component Summary score on the SF-36, postoperative recurrence, and tumor stage. The deep-learning DNN model is the most clinically useful method to predict and to identify risk factors for 10-year survival after breast cancer surgery. Future research should explore designs for two-level or multi-level models that provide information on the contextual effects of the risk factors on breast cancer survival.

Validating an Instrument for Direct Patient Reporting of Distress and Chemotherapy-Related Toxicity among South African Cancer Patients

Patient-reported outcome measures (PROM) for monitoring treatment toxicity improve quality of life (QoL) and clinical outcomes. However, no such PROMs exist for sub-Saharan African cancer patients. We aimed to validate the Patient Reported Symptoms-South Africa (PRS-SA) survey, a novel PROM for measuring distress and chemotherapy-related symptoms in South African cancer patients. We enrolled patients at the oncology clinic at Charlotte Maxeke Hospital, Johannesburg. At three separate visits, participants simultaneously completed the PRS-SA survey and several previously validated questionnaires. We constructed a receiver operator characteristics curve for distress levels predicting a Hospital Anxiety and Depression Scale (HADS) score ≥15. We evaluated construct validity for symptom items by comparing severity to the EORTC Core Quality of Life Questionnaire (QLQ-C30) summary score (Pearson correlation tests) and ECOG performance status (Mann–Whitney U tests). We assessed symptom item responsiveness by comparing change in severity to change in QLQ-C30 summary score and comparing standardized mean scores with negative, no, or positive change on the Global Impression of Change (GIC) questionnaire (Jockheere–Terpstra trend test). Overall, 196 participants with solid tumors completed instruments. A distress score of 4 had 82% sensitivity and 55% specificity for clinical depression/anxiety. All symptom items showed construct validity by association with either QLQ-C30 score or performance status (highest p = 0.03). All but cough showed responsiveness to change in QLQ-C30 score (highest p = 0.045). In South African cancer patients, the PRS-SA’s stress scale behaves similarly to the distress thermometer in other populations, and the symptom items demonstrated construct validity and responsiveness. Of note, 46% and 74% of participants who completed the PRS-SA in English or isiZulu, respectively, required assistance reading half or more of the instrument.

Mid-Upper Arm Circumference as an Indicator of Quality of Life of Patients with Advanced Cancer

Purpose Mid-upper arm circumference (MUAC) has been used to assess malnutrition and health status across various disease groups. However, it is unclear whether MUAC is associated with quality of life (QOL) of patients with advanced cancer. Our goal was to investigate the relationship between MUAC and QOL in ambulatory out-patients with advanced cancer. Method This was a cross-sectional study conducted in a tertiary cancer center in South Korea. A total of 200 patients with advanced cancer at oncology clinics of Seoul National University Bundang Hospital from March 2016 to January 2019 were enrolled. Out-patients with advanced cancer whose survival was expected to be less than one year by their oncologists were enrolled. QOL of patients was evaluated using the European Organization for Research and Treatment of Cancer quality of life questionnaire core 30 (EORTC QLQ-C30). Associations of QOL with MUAC and nutritional parameters were examined with generalized linear models. Results The most common cancer sites were the lung, colon or rectum, and genitourinary tract. In univariate analyses, significant factors associated with higher summary score of EORTC QLQ-C30 were higher MUAC (≥ 26.5 cm, p < 0.001), higher body mass index (BMI) (≥ 22 kg/m2, p < 0.001), higher serum albumin (≥ 3.7 g/dL, p = 0.004), higher creatinine (≥ 0.8 mg/dL, p = 0.023), and higher uric acid (≥ 5 mg/dL, p = 0.001). In multivariate analysis, higher serum albumin (≥ 3.7 g/dL, p < 0.01) and higher MUAC (≥ 26.5 cm, p = 0.03) were independently associated with better summary score of EORTC QLQ-C-30. Conclusion MUAC was highly associated with QOL in terms of summary score and overall health status. Thus, MUAC, with its simplicity, can be a useful tool to reflect QOL in patients with advanced cancer.

Quality-of-Life Scores for Nursing Home Residents Are Stable Over Time: Evidence From Minnesota

Objective Quality of life (QoL) is a multidimensional construct that assesses the quality of lived experience in nursing homes (NHs). QoL is directly important to NH residents. However, QoL is only publicly reported in a few states, partly because of concerns regarding measure stability. To address these concerns, we tested the stability of Minnesota’s NH QoL measure over one year. Study Design A pair of two-year cohorts of Minnesota NH residents who responded to the 2012-2013 (N = 4,448) or 2014-2015 (N = 4,644) QoL survey in consecutive years. Stability was measured using the intra-class correlation (ICC) from hierarchical linear models. Models were fit without any covariates, then individual and facility-level characteristics were added. Principal Findings: Overall QoL had ICCs of 0.602 and 0.614 in the earlier and later cohort respectively. Domain-level ICCs were lower, ranging from 0.374 (positive mood) to 0.571 (lack of negative mood) in the 2012-2013 cohort, with similar trends for the later cohort. Adjusting for important covariates reduces the ICCs slightly, but they remained at 0.565 or higher for the summary score. Conclusions Person-reported summary QoL has adequate stability over a period of one year. Our results provide impetus to assess and report NH QoL on a national level. Consumers can be confident that if an NH’s QoL scores improve from year to year, that represents a real improvement, and not just the scores varying due to which residents were sampled. Some caution, however, is warranted when presenting facility-level domain scores, as these are less stable.

Home-Based Speech Perception Monitoring for Clinical Use With Cochlear Implant Users

Speech-perception testing is essential for monitoring outcomes with a hearing aid or cochlear implant (CI). However, clinical care is time-consuming and often challenging with an increasing number of clients. A potential approach to alleviating some clinical care and possibly making room for other outcome measures is to employ technologies that assess performance in the home environment. In this study, we investigate 3 different speech perception indices in the same 40 CI users: phoneme identification (vowels and consonants), digits in noise (DiN) and sentence recognition in noise (SiN). The first two tasks were implemented on a tablet and performed multiple times by each client in their home environment, while the sentence task was administered at the clinic. Speech perception outcomes in the same forty CI users showed that DiN assessed at home can serve as an alternative to SiN assessed at the clinic. DiN scores are in line with the SiN ones by 3–4 dB improvement and are useful to monitor performance at regular intervals and to detect changes in auditory performance. Phoneme identification in quiet also explains a significant part of speech perception in noise, and provides additional information on the detectability and discriminability of speech cues. The added benefit of the phoneme identification task, which also proved to be easy to administer at home, is the information transmission analysis in addition to the summary score. Performance changes for the different indices can be interpreted by comparing against measurement error and help to target personalized rehabilitation. Altogether, home-based speech testing is reliable and proves powerful to complement care in the clinic for CI users.

Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification

Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big data text mining and analysis are challenging for public health data analysts to apply. This study proposes and explores the feasibility of a novel yet straightforward method by regressing the outcome of interest on the aggregated influence scores for association and/or classification analyses based on generalized linear models. The method reduces the document term matrix by transforming text data into a continuous summary score, thereby reducing the data dimension substantially and easing the data sparsity issue of the term matrix. To illustrate the proposed method in detailed steps, we used three Twitter datasets on various topics: autism spectrum disorder, influenza, and violence against women. We found that our results were generally consistent with the critical factors associated with the specific public health topic in the existing literature. The proposed method could also classify tweets into different topic groups appropriately with consistent performance compared with existing text mining methods for automatic classification based on tweet contents.

Long-Term Effects of a Video-Based Smartphone App (“VIDEA Bewegt”) to Increase the Physical Activity of German Adults: A Single-Armed Observational Follow-Up Study

As physical inactivity is one of the four leading risk factors for mortality, it should be intensively treated. Therefore, this one-year follow-up study aimed to evaluate the long-term effects of a preventive app to increase physical activity in German adults under real-life circumstances. Data collection took place from July 2019 to July 2021 and included six online questionnaires. Physical activity was studied as the primary outcome based on MET-minutes per week (metabolic equivalent). Secondary outcomes included health-related quality of life based on a mental (MCS) and physical health component summary score (PCS). At the time of publication, 46/65 participants completed the study (median 52 years, 81.5% women). A significant increase of physical activity was observed in people with a low/moderate baseline activity during the first four months of follow-up (median increase by 490 MET-minutes per week, p < 0.001, r = 0.649). Both MCS (median increase by 2.8, p = 0.006, r = 0.344) and PCS (median increase by 2.6, p < 0.001, r = 0.521) significantly increased during the first two months and the BMI significantly decreased during the first six months after the intervention (median decrease by 0.96 kg/m2, p < 0.001, r = 0.465). Thus, this study provides evidence for the medium-term impact of the app, since the effects decreased over time. However, due to the chosen study design and a sizeable loss to follow-up, the validity of these findings is limited.

Cotyloid Fossa Coverage Percentages May Be Associated With Alpha Angle, Labral Tear, and Clinical Outcomes in Patients With Femoroacetabular Impingement

Background: Within the hip joint, the anatomy of the acetabulum and cotyloid fossa is well established. There is little literature describing the association between the size of the cotyloid fossa relative to the acetabulum and characteristics of patients with femoroacetabular impingement (FAI). Purpose/Hypothesis: The purpose was to calculate the cotyloid fossa coverage percentage in the acetabulum and determine its association with patient characteristics, radiographic parameters, intra-articular findings, and preoperative patient-reported outcomes in patients with FAI. We hypothesized there is an association between the cotyloid fossa coverage percentage of the acetabulum and characteristics of patients with FAI. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Patients were included who underwent standard clinical 3-T magnetic resonance imaging of the hip and primary arthroscopic FAI correction surgery during 2015 and 2016. Exclusion criteria were age <18 or >40 years, osteoarthritis, labral reconstruction, previous ipsilateral hip surgery, and hip dysplasia. Measurements of the cotyloid fossa and surrounding lunate cartilage were performed to calculate cotyloid fossa width (CFW) and cotyloid fossa height (CFH) coverage percentages. The relationships between coverage percentages and patient characteristics and intraoperative findings were assessed using independent t tests or Pearson correlations. Results: An overall 146 patients were included. Alpha angle negatively correlated with CFH coverage percentage ( r = −0.19; P = .03) and positively correlated with labral tear size ( r = 0.28; P < .01). CFH coverage percentage was negatively correlated with labral tear size ( r = −0.24; P < .01). Among patients with degenerative tears, CFH was negatively correlated with labral tear size ( r = −0.31; P < .01). However, this association was no longer significant after adjusting for sex (partial r = −0.10; P = .39). Cotyloid fossa coverage was not associated with the condition of the cotyloid fossa synovium (synovitis vs no synovitis). CFW coverage percentage was negatively correlated with the 12-Item Short Form Health Survey (SF-12) physical component summary score ( r = −0.23; P < .01). Conclusion: The CFW and CFH coverage percentages may be associated with alpha angle, labral tear size, and SF-12 physical component summary score in patients with FAI. We may be able to predict the labral condition based on preoperative measurements of CFH and CFW coverage percentages.

Abstract 13205: Short and Long-Term Outcomes of OHCA Patients Admitted to Wards From the Emergency Department

Introduction: The majority of research has examined out-of-hospital cardiac arrest (OHCA) patients admitted to intensive care units (ICU). Little is known about patients who are admitted to non-ICU wards. Our study aims to describe short and long term outcomes in OHCA patients admitted directly to medical wards from the emergency department. Methods: Data were obtained from the Victorian Ambulance Cardiac Arrest Registry and 12 hospitals for adult, non-traumatic OHCA cases transported to ED between 2014 and 2016. Results: Of 1578 OHCAs, 213 (13.5%) were admitted to medical or cardiac wards -only four were admitted for palliation. The majority were witnessed (38% bystander, 58% paramedic), received bystander CPR (91%, n=81/89), median downtime was 4 minutes (IQR 2-12), 179 (84%) were in a shockable rhythm, and 15 received public access defibrillation. Most had ROSC on arrival at ED (99%) and were conscious in ED (91%). Re-arrest inhospital occurred in 16 cases, the majority had a cardiac aetiology (85%) and underwent angiography (75%, 112/160 proceeded to PCI). The majority were discharged alive (n=194, 91%) and most survivors were discharged home (n=176/194, 84%) with good neurological outcomes (CPC 0-2 =94%, CPC 3= 4%). Survivors from the wards made up 30% of the overall OHCA survivors. Of survivors, 175 were alive at 12 months and 159 completed follow-up. The majority of those working prior were working at 12-months (78/92, 85%), 87% in the same role. The mean EuroQol index score for respondents was 0.77 (SD, 0.15). The mean 12-item short form Mental Component Summary score for patients was 55.0 (SD, 8.1), whereas the mean Physical Component Summary score was 49.1 (SD, 9.1). Conclusion: In our region OHCA patients admitted to wards have favourable arrest characteristics, and have good short- and long-term outcomes which are similar to regular acute coronary syndrome patients.