Background The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants. Methods The UAEHFS pilot data were analyzed to examine the relationship between the PHQ-8 and possible confounding factors, such as self-reported happiness, and self-reported sleep duration (hours) after adjusting for age, body mass index (BMI), and gender. Results Out of 517 participants who met the inclusion criteria, 487 (94.2%) participants filled out the questionnaire and were included in the statistical analysis using 100 multiple imputations. 231 (44.7%) were included in the primary statistical analysis after omitting the missing values. Participants’ median age was 32.0 years (Interquartile Range: 24.0, 39.0). In total, 22 (9.5%) of the participant reported depression. Females have shown significantly higher odds of reporting depression than males with an odds ratio = 3.2 (95% CI:1.17, 8.88), and there were approximately 5-fold higher odds of reporting depression for unhappy than for happy individuals. For one interquartile-range increase in age and BMI, the odds ratio of reporting depression was 0.34 (95% CI: 0.1, 1.0) and 1.8 (95% CI: 0.97, 3.32) respectively. Conclusion Females are more likely to report depression compared to males. Increasing age may decrease the risk of reporting depression. Unhappy individuals have approximately 5-fold higher odds of reporting depression compared to happy individuals. A higher BMI was associated with a higher risk of reporting depression. In a sensitivity analysis, individuals who reported less than 6 h of sleep per 24 h were more likely to report depression than those who reported 7 h of sleep.

Background The likelihood of elderly patients with heart failure (HF) being readmitted to the hospital is higher if they have a higher medication regimen complexity index (MRCI) compared to those with a lower MRCI. The objective of this study was to investigate whether there is a correlation between the MRCI score and the frequency of hospital readmissions (30-day, 90-day, and 1-year) among elderly patients with HF. Methods In this single-center retrospective cohort study, MRCI scores were calculated using a well-established tool. Patients were categorized into high (≥ 15) or low (< 15) MRCI score groups. The primary outcome examined the association between MRCI scores and 30-day hospital readmission rates. Secondary outcomes included the relationships between MRCI scores and 90-day readmission, one-year readmission, and mortality rates. Multivariate logistic regression was employed to assess the 30- and 90-day readmission rates, while Kaplan-Meier analysis was utilized to plot mortality. Results A total of 150 patients were included. The mean MRCI score for all patients was 33.43. 90% of patients had a high score. There was no link between a high MCRI score and a high 30-day readmission rate (OR 1.02; 95% CI 0.99–1.05; p < 0.13). A high MCRI score was associated with an initial significant increase in the 90-day readmission rate (odd ratio, 1.03; 95% CI, 1.00-1.07; p < 0.022), but not after adjusting for independent factors (odd ratio, 0.99; 95% CI, 0.95–1.03; p < 0.487). There was no significant difference between high and low MRCI scores in their one-year readmission rate. Conclusion The study’s results indicate that there is no correlation between a higher MRCI score and the rates of hospital readmission or mortality among elderly patients with HF. Therefore, it can be concluded that the medication regimen complexity index does not appear to be a significant predictor of hospital readmission or mortality in this population.

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Background The likelihood of elderly patients with heart failure (HF) being readmitted to the hospital is higher if they have a higher medication regimen complexity index (MRCI) compared to those with a lower MRCI. The objective of this study was to investigate whether there is a correlation between the MRCI score and the frequency of hospital readmissions (30-day, 90-day, and 1-year) among elderly patients with HF. Methods The study was a retrospective cohort study conducted at a single center, in which MRCI scores were computed utilizing a published tool for 30 patients with high MRCI scores and 30 patients with low MRCI scores. Results A total of 150 patients were included. The mean MRCI score for all patients was 33.43. Ninety percent of patients had a high score. There was no link between a high MCRI score and a high 30-day readmission rate (OR 1.02; 95% CI 0.99–1.05; p < 0.13). A high MCRI score was associated with an initial significant increase in the 90-day readmission rate (odd ratio, 1.03; 95% CI, 1.00-1.07; p < 0.022), but not after adjusting for independent factors (odd ratio, 0.99; 95% CI, 0.95–1.03; p < 0.487). There was no significant difference between high and low MRCI scores in their one-year readmission rate. Conclusion The study's results indicate that there is no correlation between a higher MRCI score and the rates of hospital readmission or mortality among elderly patients with HF. Therefore, it can be concluded that the medication regimen complexity index does not appear to be a significant predictor of hospital readmission or mortality in this population.

The world has been suffering from Green House Gases (GHG) emissions for years in the past and for years to come. Governments have started to show their real commitment through Carbon Tax, Energy Transition plans and more renewables and cleaner energy sources to replace the carbon intensive operations [1-2]. Petroleum Development Oman (PDO) has pledge to have a Net Zero emissions by 2050 with an aspirational target to reduce 50% of the current emissions by 2030. Asset M has gone through a regress assessment and opportunity identification workshops to pinpoint the strategic directions moving forward to meet that aspiration. Asset M is the 2nd Largest asset in PDO in terms of Oil and Water production. Over 0.9 mln bbls of Water are recycled on daily basis with around 54 MWs of power consumed. In line with PDO aspiration towards NZE, Asset M has pledge to reduce its emissions from Scope 1 & 2 by 50% in 2030 and net zero by 2050. As of today, Asset M is the most energy efficient asset in PDO with a GHG intensity of 0.12 t/t. The objective of this paper is to shed light on some of the best practices followed to achieve reduction in Energy consumption and GHGE in general. In 2019, Asset M emissions were estimated around 0.55 mln_tCO2e, these are mainly linked to power consumptions (70%) and flaring (15%). Due to the large Growth planned in HCM, Asset M is expected to grow additional 0.25 mln_tCO2e by 2030. To align with PDO NZE by 2050, the team took the lead to build a sustainable GHG reduction road map. The work has been structured under the Strategic A3 approach with clear metrics and timelines. A simple approach was developed to focus on the top 4 main themes: Flaring, Power consumption, Portfolio assessment and EE Awareness. Well Reservoir & Facility Management (WRFM) in addition to Fail-Less initiative were key in reducing the energy consumption from Artificially Lifted wells by the means of Conversion to a more Energy efficient Artificial-Lift types such as PCP/Rotaflex systems, PMM motors and more. cEOR (Enhanced Oil Recovery) is another front that has proven successful improvement not only in increasing the oil production but also in reducing the GHGE. Field-A Polymer set a record emission intensity in PDO with average of 0.03 tCO2e/tHC. Asset M is leading the Polymer thematic study to accelerate cEOR across Multiple fields in South leading to further GHGE reduction. A black belt (6-Sigma as part of Lean projects) was initiated in 2021 to investigate the possibility of reducing the energy consumption of the DWD pumps which are contributing 30% to Asset M energy consumption. The project managed to slash the consumption of these pumps by 25% (4 MW). This approach has paved the way for additional scope across PDO with additional 10-15 MW reduction with zero Cost.