Prevalence and predictors of dysmenorrhea among a population of adolescent’s schoolgirls (Morocco)

Dysmenorrhea is the most common gynaecological problem among young females. In Arabic countries, few studies on gynaecological problems of adolescent’s girls were published. Objective: the aim of the study was to determine the prevalence of dysmenorrhea and associated factors among adolescents in public schools at Marrakesh. Methods: we conducted a cross-sectional study; our data was collected via a questionnaire and the statistical analysis was done using SPSS version 21. Our random sample counted 364 post-menarcheal girls aged between 12 and 20 years who participated voluntarily in our study. Results: the mean age at menarche was 12.89 ± 1.34 years; the prevalence of dysmenorrhea was 78% and 58.1% of them suffering from severe dysmenorrhea that increased clearly with the chronological age. Dysmenorrhea was cause for missing school among 13% of girls and the most common symptoms associated with it were backache, fatigue, irritability and anxiety. The gynecological age was found to be the only predictive factor of dysmenorrhea among schoolgirls. Conclusion: reproductive health education should be improved enough by including them in the school curriculum to prepare girls for menstruation and inform them about problems related to this phenomenon, especially dysmenorrhea.     

Predictors of healthcare workers' intention to vaccinate against COVID-19: A cross sectional study from Saudi Arabia

BackgroundVaccination is considered the best way to prevent the spread of COVID-19 and to prevent the complications of the disease. Nevertheless, no awareness campaigns were conducted in Saudi Arabia until March 1, 2021, when the Vaxzevria, or ChAdOx1 nCoV-19 (AZD1222), vaccine became available.ObjectivesThis study aims to determine the factors that can predict healthcare workers’ acceptance of the COVID-19 vaccine.MethodsA cross-sectional study was conducted from July to September 2021, in our university tertiary hospital (King Saud University Medical City [KSUMC]), Riyadh, Saudi Arabia. The study targeted potential participants among healthcare workers at KSUMC. We assessed healthcare workers’ perceptions and beliefs about the COVID-19 vaccine via a questionnaire that was distributed via social media applications such as WhatsApp, Twitter, and Google. Participants were informed about the questionnaire before they filled it out, and they were asked to respond to three screening questions before beginning the main questionnaire. These screening questions ensured that the participants met the inclusion criteria. Included participants were over the age of 18, agreed to answer the questions, and were residents of Saudi Arabia. The participants filled out the self-administered questionnaire.ResultsA total of 529 participants completed the questionnaires. All participants were vaccinated, 68% were female, 55% were married, 35% had been working for less than five years, and 65% had a bachelor’s degree. More than half of participants had not previously been infected with COVID-19, and most did not interact with COVID-19 patients. More convenient access to the vaccine increased the odds ratio of participant vaccination by 0.39. An increase in the number of vaccinated friends and family members increased the odds ratio of participant vaccination by 0.30. However, COVID- 19 vaccination mandates decreased the odds ratio of participant vaccination by 0.27. The fitted linear regression model explained 32% of the variation observed in the dependent variable, acceptance of the COVID-19 vaccine, and the adjusted R squared was 0.32. The fitted regression model was statistically significant at a 95% confidence interval; the p-value was 0.00001.ConclusionIn Saudi Arabia, there is an immense need to increase uptake of the COVID-19 vaccine. This requires encouraging more positive beliefs and attitudes regarding vaccination in general and the COVID-19 vaccine in particular.     

Predictors of mortality amongst recipients of implantable cardioverter defibrillators for secondary prevention of cardiac arrest

Background

Implantable Cardioverter-defibrillators (ICD) reduce mortality in survivors of cardiac arrest (CA). We investigated the predictors of mortality after ICD implantation in survivors of CA.

Methods

Retrospective review of clinical records and social security death index of all patients who received an ICD in a preexisting database of survivors of CA at the University of Pittsburgh Medical Center was performed. Multivariate analyses using the Cox proportional hazard model were performed with backward elimination to identify independent predictors of the time to death, and Kaplan-Meier curves were plotted.

Results

Eighty patients (64 men) with a mean age of 64.4±12.5 years were followed for 4.7±2.3 years after ICD implantation. Survival rates were 93.8%, 65% and 50% at 1, 5, and 10 years, respectively. Independent predictors of time to death were determined to include age (hazard ratio (HR) = 1.91 per 10-year increase, p = 0.003), serum creatinine ≥ 1.3 mg/dL (HR = 2.56, p = 0.004), and QRS width >120 ms (HR = 5.14, p = 0.012).

Conclusions

In this sample of ICD recipients secondary to CA, older age, elevated serum creatinine, and wider QRS duration were independent predictors of mortality. The presence of more than one risk factor in the same patient was associated with higher mortality rates. Whether interventions such as biventricular pacing can offset this increase risk of death warrants further investigation.     

Predictors of treatment initiation and mapping the cancer diagnostic pathway: A retrospective observational cohort study of patients with metastatic non-small cell lung cancer

BackgroundHealth-care providers in the US revealed that a substantial proportion of mNSCLC patients do not receive any first-line therapy and the biggest gaps in care are time inefficiencies in the diagnostic process. The goal of this study was to determine whether such gaps are found in Israel where healthcare is universal and participation in a medical insurance plan is free and compulsory.MethodsWe conducted a retrospective, observational cohort study using the computerized data of Maccabi Healthcare Services, a 2.5 million-member state-mandated health-service. Patients with mNSCLC diagnosed between 2017 and 2018 were followed until December 2019.ResultsAmong 434 patients (62% male, mean age 68 y, 74% adenocarcinoma), 345 (79%) initiated first-line treatment. Compared to treated, untreated patients (n = 89) were more likely to be older (mean [SD]=71 years [10] vs. 67 [10], p < 0.001), have a higher co-morbidity index (5.6 ([4.4] vs. 4.0 [3.4], p < 0.001), smokers (84% vs. 66%, p = 0.001), and require hospitalization in the year prior to diagnosis (80% vs 61%, p = 0.002). There was no difference in socioeconomic status. Time from first symptom to imaging was longer for untreated than treated patients (6.51 months [4.24, 7.33] vs 3.48 months [2.76, 4.34] respectively, p = 0.22). Predictors of treatment initiation included age< 70 years, non-smokers, EGFR testing performed, ECOG performance status 0–1 and shorter wait from first symptom to imaging. Median time from first symptom to initiation of 1 L, was 7.76 months (6.51–8.75).ConclusionThe proportion of untreated mNSCLC patients are comparable to those reported in the US; we did not find health disparities between socioeconomic levels. Our data suggest that the main barrier to effective diagnostic process is the wait between symptom complaint and imaging.     

Are structural proteins in insect cuticles dominated by intrinsically disordered regions?

Fifty years ago it was concluded that the highly elastic cuticular protein, resilin, is devoid of secondary structure and that the peptide chains are randomly coiled and easily and reversibly deformed. These properties indicate that resilin is an intrinsically disordered protein and suggest that also other cuticular proteins may contain disordered regions. Amino acid sequences are now available for cuticular proteins from many insect species, and several programs have been developed to predict the probability for a given protein to contain disordered regions.The present paper describes the results obtained when the predictors are applied to various types of cuticular proteins from several insects. The results suggest that most cuticular proteins contain shorter or longer disordered regions, and the possible functions for such regions are briefly discussed.     

Are individuals' nighttime sleep characteristics prior to shift-work exposure predictive for parameters of daytime sleep after commencing shift work?

This study aimed to examine prospectively whether individual nighttime sleep characteristics at baseline (prior to shift-work exposure) are related to parameters of daytime sleep after commencing shift work. A longitudinal field study was carried out with novice police officers of the Dutch Police Force. A total of 26 subjects were examined at baseline before they entered shift work and re-examined during follow-up sessions after four and twelve months of shift-work exposure. Wrist actigraphy and sleep diaries were used to study nocturnal sleep at baseline and daytime sleep after night shifts during follow-up sessions. As outcome variables, estimated total sleep time, sleep efficiency, and subjective sleep quality were analyzed. Daytime total sleep time showed a 66 min decline during the first year of shift-work exposure. Systematic inter-individual differences were observed for daytime total sleep time and subjective sleep quality (explaining 53% and 38% of the variance, respectively), suggesting potential predictability of these sleep parameters. Although no predictors were found for daytime total sleep time, the subjective quality of nighttime sleep before the onset of shift work predicted 40% of the variance in the subjective quality of daytime sleep after commencing shift work. Follow-up studies may reveal whether the subjective quality of baseline nighttime sleep also predicts long-term overall tolerance for shift work.     

骨盆骨折患者住院日及预测因子分析

目的:分析上海市某三甲医院创伤中心骨盆骨折患者住院日及其预测因子。方法:抽取上海市第一人民医院南院创伤中心2013年全部62名骨盆骨折住院患者病历,对住院日进行单因素分析、相关分析和有序logistic回归。结果:研究对象中位住院日为19.00天。单因素分析显示受伤原因、骨盆骨折数、患侧和是否输血是住院日的预测因子(P0.05)。相关分析显示手术次数、手术时长、输血量、手术失血、检验次数、CT检查次数和超声检查次数分别与住院日存在相关关系(P0.05)。有序logistic回归表明手术次数、CT检查次数和手术失血量是住院日的独立预测因子(P0.05)。结论:骨盆骨折住院患者平均住院时间长,住院日主要受手术次数、CT检查次数和手术失血量影响,减少不必要的影像学检查和术中出血可缩短住院日。     

Patterns of metachronous metastases after curative treatment of colorectal cancer

BackgroundThis study aimed to provide information on timing, anatomical location, and predictors for metachronous metastases of colorectal cancer based on a large consecutive series of non-selected patients.MethodsAll patients operated on with curative intent for colorectal cancer (T_anyN_anyM₀) between 2003 and 2008 in the Dutch Eindhoven Cancer Registry were included (N = 5671). By means of active follow-up by the Cancer Registry staff within ten hospitals, data on development of metastatic disease were collected. Median follow-up was 5.0 years.ResultsOf the 5671 colorectal cancer patients, 1042 (18%) were diagnosed with metachronous metastases. Most common affected sites were the liver (60%), lungs (39%), extra-regional lymph nodes (22%), and peritoneum (19%). 86% of all metastases was diagnosed within three years and the median time to diagnosis was 17 months (interquartile range 10–29 months). Male gender (HR = 1.2, 95%CI 1.03–1.32), an advanced primary T-stage (T4 vs. T3 HR = 1.6, 95%CI 1.32–1.90) and N-stage (N1 vs. N0 HR = 2.8, 95%CI 2.42–3.30 and N2 vs. N0 HR = 4.5, 95%CI 3.72–5.42), high-grade tumour differentiation (HR = 1.4, 95%CI 1.17–1.62), and a positive (HR = 2.1, 95%CI 1.68–2.71) and unknown (HR = 1.7, 95%CI 1.34–2.22) resection margin were predictors for metachronous metastases.ConclusionsDifferent patterns of metastatic spread were observed for colon and rectal cancer patients and differences in time to diagnosis were found. Knowledge on these patterns and predictors for metachronous metastases may enhance tailor-made follow-up schemes leading to earlier detection of metastasized disease and increased curative treatment options.     

A predictive scoring instrument for tuberculosis lost to follow-up outcome

Background

Adherence to tuberculosis (TB) treatment is troublesome, due to long therapy duration, quick therapeutic response which allows the patient to disregard about the rest of their treatment and the lack of motivation on behalf of the patient for improved. The objective of this study was to develop and validate a scoring system to predict the probability of lost to follow-up outcome in TB patients as a way to identify patients suitable for directly observed treatments (DOT) and other interventions to improve adherence.

Methods

Two prospective cohorts, were used to develop and validate a logistic regression model. A scoring system was constructed, based on the coefficients of factors associated with a lost to follow-up outcome. The probability of lost to follow-up outcome associated with each score was calculated. Predictions in both cohorts were tested using receiver operating characteristic curves (ROC).

Results

The best model to predict lost to follow-up outcome included the following characteristics: immigration (1 point value), living alone (1 point) or in an institution (2 points), previous anti-TB treatment (2 points), poor patient understanding (2 points), intravenous drugs use (IDU) (4 points) or unknown IDU status (1 point). Scores of 0, 1, 2, 3, 4 and 5 points were associated with a lost to follow-up probability of 2,2% 5,4% 9,9%, 16,4%, 15%, and 28%, respectively. The ROC curve for the validation group demonstrated a good fit (AUC: 0,67 [95% CI; 0,65-0,70]).

Conclusion

This model has a good capacity to predict a lost to follow-up outcome. Its use could help TB Programs to determine which patients are good candidates for DOT and other strategies to improve TB treatment adherence.     

Encouraging survival rates in patients with acute myocardial infarction treated with an intra-aortic balloon pump

Objective

To evaluate a 30-day and long-term outcome of patients with acute myocardial infarction (AMI) treated with intra-aortic balloon pump (IABP) counterpulsation and to identify predictors of a 30-day and long-term all-cause mortality.

Methods

Retrospective cohort study of 437 consecutive AMI patients treated with IABP between January 1990 and June 2004. A Cox proportional hazards model was used to identify predictors of a 30-day and long-term all-cause mortality.

Results

Mean age of the study population was 61 ± 11 years, 80% of the patients were male, and 68% had cardiogenic shock. Survival until IABP removal after successful haemodynamic stabilisation was 78% (n = 341). Cumulative 30-day survival was 68%. Median follow-up was 2.9 years (range, 6 months to 15 years). In patients who survived until IABP removal, cumulative 1-, 5-, and 10-year survival was 75%, 61%, and 39%, respectively. Independent predictors of higher long-term mortality were prior cerebrovascular accident (hazard ratio (HR), 1.8; 95% confidence interval (CI), 1.0–3.4), need for antiarrhythmic drugs (HR, 2.3; 95% CI, 1.5–3.3), and need for renal replacement therapy (HR, 2.3; 95% CI, 1.2–4.3). Independent predictors of lower long-term mortality were primary percutaneous coronary intervention (PCI; HR, 0.6; 95% CI, 0.4–1.0), failed thrombolysis with rescue PCI (HR, 0.5; 95% CI, 0.3–0.9), and coronary artery bypass grafting (HR, 0.3; 95% CI, 0.1–0.5).

Conclusions

Despite high in-hospital mortality in patients with AMI treated with IABP, a favourable number of patients survived in the long-term. These results underscore the value of aggressive haemodynamic support of patients throughout the acute phase of AMI.