scholarly journals Pacemaker Therapy in the Elderly and Very Elderly

2021 ◽  
pp. 1-3
Author(s):  
Alexander Marschall ◽  
Alexander Marschall ◽  
Andrea Rueda Liñares ◽  
Belen Biscotti Rodil ◽  
Montserrat Torres Lopez ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Prognostic Factors ◽  
Kidney Disease ◽  
Elderly Patients ◽  
Cox Regression ◽  
The Elderly ◽  
Very Elderly ◽  
Pacemaker Therapy ◽  
All Cause Mortality

Background: The number of elderly patients undergoing pacemaker (PM) implantation is constantly growing. However, information on survival and prognostic factors of this particular patient group is scarce. The objective of this study was to determine the survival of elderly and very elderly patients undergoing PM implantation, as well as to investigate prognostic factors of mortality. Methods: This is a retrospective observational study of a single center. Patients ≥ 80 years of age, that underwent PM implantation between January 2017 and December 2018 in our center, were included for chart review. Very elderly patients were defined as those with ≥ 90 years of age. Results: A total of 269 patients were included in the study with a mean age of 85 (±4.1) years. 53 patients were ≥ 90 years of age. 52% of the patients were male. 24.5% of the elderly patients and 41.5% of the very elderly patients received a single chamber PM. Median follow-up time was 28 (14-30) months, with no significant differences between the two groups of patients. The mortality rate for elderly patients was 15.7% for the elderly and 32.1% for the very elderly (p = 0.002). Generating multivariate Cox regression models, the following parameters showed to be significant predictors of all-cause mortality: Age (1.37 (1.02-1.29), p = 0.005), chronic kidney disease (5.57 (2.47-12.56), p<0.001), COPD (3.74 (1.19-11.55), p = 0.023) and cancer (3.57 (1.02-12.51), p = 0.046). In the group of the very elderly only age (1.58 (1.10-2.27), p = 0.014) and cancer (3.76 (2.38-4.18), p = 0.003) significantly predicted mortality. Conclusion: Our study shows a good life expectancy of elderly and very elderly patients that underwent PM implantation, with a survival rate that is comparable to the general population. The primary prognostic factors were non-cardiological and comorbidities, such as chronic kidney disease, cancer and COPD, had a stronger association with mortality than age.

scholarly journals Pacemaker therapy in the elderly and very elderly: survival and prognostic factors

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
HA Del Castillo-Carnevali ◽  
A Marschall ◽  
M Torres-Lopez ◽  
E Basabe-Velasco ◽  
I Gomez-Sanchez ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Prognostic Factors ◽  
Kidney Disease ◽  
Elderly Patients ◽  
Cox Regression ◽  
The Elderly ◽  
Very Elderly ◽  
Pacemaker Therapy ◽  
Funding Sources

Abstract Funding Acknowledgements Type of funding sources: None. Background The number of elderly patients undergoing pacemaker (PM) implantation is constantly growing. However, information on survival and prognostic factors of this particular patient group is scarce. Objective The objective of this study was to determine the survival of elderly and very elderly patients undergoing PM implantation, as well as to investigate prognostic factors of mortality. Methods This is a retrospective observational study of a single centre. Patients ≥ 80 years of age, that underwent PM implantation between January 2017 and December 2018 in our centre, were included for chart review. Very elderly patients were defined as those with ≥ 90 years of age. Results A total of 269 patients were included in the study with a mean age of 85 (±4.1) years. 53 patients were ≥ 90 years of age. 52% of the patients were male. 24.5% of the elderly patients and 41.5% of the very elderly patients received a single chamber PM. Median follow-up time was 28 (14-30) months, with no significant differences between the two groups of patients. The mortality rate for elderly patients was 15.7% for the elderly and 32.1% for the very elderly (p = 0.002). Generating multivariate Cox regression models, the following parameters showed to be significant predictors of all-cause mortality: Age (1.37 (1.02-1.29), p = 0.005), chronic kidney disease (5.57 (2.47-12.56), p &lt; 0.001), COPD (3.74 (1.19-11.55), p = 0.023) and cancer (3.57 (1.02-12.51), p = 0.046). In the group of the very elderly only age (1.58 (1.10-2.27), p = 0.014) and cancer (3.76 (2.38-4.18), p = 0.003) significantly predicted mortality. Conclusions Our study shows a good life expectancy of elderly and very elderly patients, that underwent PM implantation, with a survival rate that is comparable to the general population. The primary prognostic factors were non-cardiological and co-morbidities, such as chronic kidney disease, cancer and COPD, had a stronger association with mortality than age.

scholarly journals Pacemaker therapy in the elderly and very elderly: comorbidity-burden vs age, as prognostic factors for excess of length of in-hospital stay, complications and mortality

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Marschall ◽  
H Del Castillo Carnevali ◽  
F Goncalves Sanchez ◽  
M Torres Lopez ◽  
F A Delgado Calva ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Elderly Patients ◽  
Hospital Stay ◽  
The Elderly ◽  
Very Elderly ◽  
Pacemaker Therapy ◽  
Clinical Scenarios ◽  
Comorbidity Burden ◽  
The Impact ◽  
Complications And Mortality

Abstract Background The number of elderly patients undergoing pacemaker (PM) implantation is constantly growing. However, information on survival and prognostic factors of this particular patient group is scarce. Recent studies suggest that comorbidity burden may have an equal, if not greater, effect on length of in-hospital stay (LOS), complications and mortality, as age in a variety of clinical scenarios. Objective The objective of this study was to determine the survival of elderly and very elderly patients undergoing PM implantation, as well as to investigate the impact of comorbidities, as compared to age, on excess of length of in-hospital stay and mortality. Methods This is a retrospective observational study of a single centre. Patients that underwent (both elective and non-elective) PM implantation between June 2016 and December 2018 in our centre, were included for chart review. Elderly patients were defined as those with age 80–89 years, whereas very elderly patients were defined as those with ≥90 years of age. Excess in LOS was defined as an in-hospital stay &gt;3 days. Results A total of 507 patients were included in the study with a mean age of 80.6 (±8.5) years. 255 elderly and 60 very elderly patients were included. Median follow-up time was 24 months. Baseline clinical characteristics are presented in Table 1. The mortality rate for elderly patients was 18.8% for the elderly and 36.7% for the very elderly (p=0.002). The presence of ≥2 comorbidities (defined in Table 1) resulted to be a significant predictor for the excess of LOS, whereas age did not significantly predict excess of LOS (HR: 7.1 (4.4–11.4), p&lt;0.001); HR: 1.01 (0.9–1.1), p=0.56, respectively). Neither age, nor comorbidity burden predicted the appearance of device related complications. Both comorbidites and age predicted mortality. However, the association was stronger for the presence of comorbidites, than for age (HR: 1.9 (1.1–3.1), p=0.002 vs HR: 1.1 (1.1–1.2), p&lt;0.001, respectively). Elderly patients with low comorbidity burden (&lt;2 comorbidities) showed no significant differences with regards to LOS and mortality when compared to younger patients (2 (2–4) vs 3 (2–5) days, p=0.529 and 18.3% vs 17.4%, p=0.702; respectively). Conclusions Our study shows a good life expectancy of elderly and very elderly patients, that underwent PM implantation, with a survival rate that is comparable to the general population. Comorbidity burden, rather than age, significantly predicts excess of LOS and should therefore be the driving factor in the approach of patients undergoing new PM implantation. FUNDunding Acknowledgement Type of funding sources: None.

Relationship between renal biopsy and renal survival in elderly patients with chronic kidney disease: A propensity score matching approach

2020 ◽  
Author(s):  
Xiaowei Lou ◽  
Shizhu Yuan ◽  
Wei Shen ◽  
Yueming Liu ◽  
Juan Jin ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Elderly Patients ◽  
Renal Biopsy ◽  
Cox Regression ◽  
Renal Survival ◽  
Aged Patients ◽  
Renal Outcomes ◽  
Propensity Matching

Abstract Background The effect of renal biopsy on the prognosis of elderly patients with chronic kidney disease remains unclear. Thus, in this study, we aimed to evaluate the relationship between renal biopsy and renal survival in this population.Methods In this multi-centre retrospective study, the baseline characteristics among three groups were balanced by propensity matching. All patients were divided into three groups according to age and renal biopsy. The clinicopathological features at biopsy and renal outcomes during the follow-up were collected and analysed. Renal outcomes were defined as estimated glomerular filtration rate < 15 mL/min/1.73 m2, dialysis, renal transplantation, or death. The prognostic effects of renal biopsy were evaluated using Cox regression models. Results A total of 1313 patients were identified. After propensity matching, 390 patients were selected and divided into three groups. After a total follow-up period of 55 months, 20 (13.3%) patients (47.6% group 1 vs 7.41% group 2 vs 39.1% group 3) reached renal outcomes. No significant differences were found in renal outcomes among aged patients whether they underwent renal biopsy or not. Cox regression analysis revealed risk factors in aged patients including low albumin and high levels of proteinuria and serum creatinine (P < 0.05). Platelet count was significant only in aged patients who underwent renal biopsy (hazard ratio: 0.642, P < 0.05). Conclusion In conclusion, renal biopsy in the elderly has not shown benefits in terms of renal survival, conservative treatment appears to be a viable therapeutic option in the management of those people.

CHA2DS2-VASc Score as a Predictor of Cardiovascular and All-Cause Mortality in Chronic Kidney Disease Patients

2021 ◽  
pp. 1-8
Author(s):  
Nina Vodošek Hojs ◽  
Robert Ekart ◽  
Sebastjan Bevc ◽  
Nejc Piko ◽  
Radovan Hojs
Keyword(s):  
Chronic Kidney Disease ◽  
Regression Analysis ◽  
Kidney Disease ◽  
Cox Regression ◽  
Smoking Status ◽  
High Sensitivity ◽  
Cox Regression Analysis ◽  
Reactive Protein ◽  
All Cause Mortality

<b><i>Introduction:</i></b> Chronic kidney disease (CKD) is a risk factor for cardiovascular and all-cause mortality. Recognition of high-risk patients is important and could lead to a different approach and better treatment. The CHA<sub>2</sub>DS<sub>2</sub>-VASc score was originally used to predict cerebral infarction in patients with atrial fibrillation (AF), but it is also a useful predictor of outcome in other cardiovascular conditions, independent of AF. Therefore, the aim of our research was to assess the role of CHA<sub>2</sub>DS<sub>2</sub>-VASc score in predicting cardiovascular and all-cause mortality in CKD patients. <b><i>Methods:</i></b> Stable nondialysis CKD patients were included. At the time of inclusion, medical history data and standard blood results were collected and CHA<sub>2</sub>DS<sub>2</sub>-VASc score was calculated. Patients were followed till the same end date, until kidney transplantation or until their death. <b><i>Results:</i></b> Eighty-seven CKD patients were included (60.3 ± 12.8 years, 66% male). Mean follow-up time was 1,696.5 ± 564.6 days. During the follow-up, 21 patients died and 11 because of cardiovascular reasons. Univariate Cox regression analysis showed that CHA<sub>2</sub>DS<sub>2</sub>-VASc score is a significant predictor of cardiovascular and all-cause mortality. In multivariate Cox regression analysis, in which CHA<sub>2</sub>DS<sub>2</sub>-VASc score, serum creatinine, urinary albumin/creatinine, hemoglobin, high-sensitivity C-reactive protein, and intact parathyroid hormone were included, CHA<sub>2</sub>DS<sub>2</sub>-VASc score was an independent predictor of cardiovascular (HR: 2.04, CI: 1.20–3.45, <i>p</i> = 0.008) and all-cause mortality (HR: 2.06, CI: 1.43–2.97, <i>p</i> = 0.001). The same was true after adding total cholesterol, triglycerides, and smoking status to both the analyses. <b><i>Conclusion:</i></b> The CHA<sub>2</sub>DS<sub>2</sub>-VASc score is a simple, practical, and quick way to identify the risk for cardiovascular and all-cause mortality in CKD patients.

Association of Dyskalemias with Ischemic Stroke in Advanced Chronic Kidney Disease Patients Transitioning to Dialysis

2021 ◽  
pp. 1-9
Author(s):  
Ankur A. Dashputre ◽  
Keiichi Sumida ◽  
Fridtjof Thomas ◽  
Justin Gatwood ◽  
Oguz Akbilgic ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Ischemic Stroke ◽  
Kidney Disease ◽  
Lower Risk ◽  
Chronic Exposure ◽  
Cox Regression ◽  
Acute Exposure ◽  
Continuous Exposure ◽  
Advanced Chronic Kidney Disease

<b><i>Introduction:</i></b> Hypo- and hyperkalemia are associated with a higher risk of ischemic stroke. However, this association has not been examined in an advanced chronic kidney disease (CKD) population. <b><i>Methods:</i></b> From among 102,477 US veterans transitioning to dialysis between 2007 and 2015, 21,357 patients with 2 pre-dialysis outpatient estimated glomerular filtration rates &#x3c;30 mL/min/1.73 m<sup>2</sup> 90–365 days apart and at least 1 potassium (K) each in the baseline and follow-up period were identified. We separately examined the association of both baseline time-averaged K (chronic exposure) and time-updated K (acute exposure) treated as categorized (hypokalemia [K &#x3c;3.5 mEq/L] and hyperkalemia [K &#x3e;5.5 mEq/L] vs. referent [3.5–5.5 mEq/L]) and continuous exposure with time to the first ischemic stroke event prior to dialysis initiation using multivariable-adjusted Cox regression models. <b><i>Results:</i></b> A total of 2,638 (12.4%) ischemic stroke events (crude event rate 41.9 per 1,000 patient years; 95% confidence interval [CI] 40.4–43.6) over a median (Q<sub>1</sub>–Q<sub>3</sub>) follow-up time of 2.56 (1.59–3.89) years were observed. The baseline time-averaged K category of hypokalemia (adjusted hazard ratio [aHR], 95% CI: 1.35, 1.01–1.81) was marginally associated with a significantly higher risk of ischemic stroke. However, time-updated hyperkalemia was associated with a significantly lower risk of ischemic stroke (aHR, 95% CI: 0.82, 0.68–0.98). The exposure-outcome relationship remained consistent when using continuous K levels for both the exposures. <b><i>Discussion/Conclusion:</i></b> In patients with advanced CKD, hypokalemia (chronic exposure) was associated with a higher risk of ischemic stroke, whereas hyperkalemia (acute exposure) was associated with a lower risk of ischemic stroke. Further studies in this population are needed to explore the mechanisms underlying these associations.

scholarly journals Sleep duration and all-cause mortality in the elderly in China: a population-based cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yanfeng Ren ◽  
Maohua Miao ◽  
Wei Yuan ◽  
Jiangwei Sun
Keyword(s):  
Cohort Study ◽  
Sleep Duration ◽  
Dose Response ◽  
Cox Regression ◽  
Oldest Old ◽  
The Elderly ◽  
Response Analysis ◽  
Short Sleep Duration ◽  
All Cause Mortality

Abstract Background Although a U-shaped association between sleep duration and all-cause mortality has been found in general population, its association in the elderly adults, especially in the oldest-old, is rarely explored. Methods In present cohort study, we prospectively explore the association between sleep duration and all-cause mortality among 15,092 participants enrolled in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2005 to 2019. Sleep duration and death information was collected by using structured questionnaires. Cox regression model with sleep duration as a time-varying exposure was performed to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). The dose-response association between them was explored via a restricted cubic spline function. Results During an average follow-up of 4.51 (standard deviation, SD: 3.62) years, 10,768 participants died during the follow-up period. The mean (SD) age of the participants was 89.26 (11.56) years old. Compared to individuals with moderate sleep duration (7–8 hours), individuals with long sleep duration (> 8 hours) had a significantly higher risk of all-cause mortality (HR: 1.13, 95%CI: 1.09–1.18), but not among individuals with short sleep duration (≤ 6 hours) (HR: 1.02, 95%CI: 0.96–1.09). Similar results were observed in subgroup analyses based on age and gender. In the dose-response analysis, a J-shaped association was observed. Conclusions Sleep duration was associated with all-cause mortality in a J-shaped pattern in the elderly population in China.

scholarly journals Association of Body Weight Variability with Adverse Cardiovascular Outcomes in Patients with Pre-Dialysis Chronic Kidney Disease

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3381
Author(s):  
Sang Heon Suh ◽  
Tae Ryom Oh ◽  
Hong Sang Choi ◽  
Chang Seong Kim ◽  
Eun Hui Bae ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Body Weight ◽  
Kidney Disease ◽  
Primary Outcome ◽  
Body Weight Gain ◽  
Absolute Difference ◽  
Composite Outcome ◽  
Increased Risk ◽  
All Cause Mortality

To investigate the association of body weight variability (BWV) with adverse cardiovascular (CV) outcomes in patient with pre-dialysis chronic kidney disease (CKD), a total of 1867 participants with pre-dialysis CKD from Korean Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD) were analyzed. BWV was defined as the average absolute difference between successive values. The primary outcome was a composite of non-fatal CV events and all-cause mortality. Secondary outcomes were fatal and non-fatal CV events and all-cause mortality. High BWV was associated with increased risk of the composite outcome (adjusted hazard ratio (HR) 1.745, 95% confidence interval (CI) 1.065 to 2.847) as well as fatal and non-fatal CV events (adjusted HR 1.845, 95% CI 1.136 to 2.996) and all-cause mortality (adjusted HR 1.861, 95% CI 1.101 to 3.145). High BWV was associated with increased risk of fatal and non-fatal CV events, even in subjects without significant body weight gain or loss during follow-up periods (adjusted HR 2.755, 95% CI 1.114 to 6.813). In conclusion, high BWV is associated with adverse CV outcomes in patients with pre-dialysis CKD.

scholarly journals MEDICATION BURDEN AND INAPPROPRIATE PRESCRIPTION RISK AMONG ELDERLY WITH ADVANCED CHRONIC KIDNEY DISEASE

2019 ◽  
Author(s):  
Clarisse Roux-Marson ◽  
Jean-Baptiste Baranski ◽  
Coraline Fafin ◽  
Guillaume Extermann ◽  
Cecile Vigneau ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Elderly Patients ◽  
Healthcare Providers ◽  
Antihypertensive Agents ◽  
The Elderly ◽  
Anticholinergic Drugs ◽  
Cross Sectional ◽  
French Study ◽  
Sectional Analysis

Abstract Background Elderly patients with chronic kidney disease (CKD) frequently present comorbidities that put them at risk of polypharmacy and medication-related problems. This study aims to describe the overall medication profile of patients aged ≥ 75 years with advanced CKD from a multicenter French study and specifically the renally (RIMs) and potentially inappropriate-for-the-elderly medications (PIMs) that they take. Methods This is a cross-sectional analysis of medication profiles of individuals aged ≥ 75 years with eGFR < 20 ml/min/1.73m2 followed by a nephrologist, who collected their active prescriptions at the study inclusion visit. Medication profiles were analyzed according to route of administration, therapeutic classification, and their potential inappropriateness for these patients, according to Beers' criteria. Results We collected 5196 individual medication prescriptions for 556 patients, for a median of 9 daily medications [7-11]. Antihypertensive agents, antithrombotics, and antianemics were the classes most frequently prescribed. Moreover, 88% of patients had at least 1 medication classified as a RIM, and 21% of those were contraindicated drugs. At least 1 PIM was taken by 68.9%. The prescriptions most frequently requiring reassessment due to potential adverse effects were for proton pump inhibitors and allopurinol. The PIMs for which deprescription is especially important in this population are rilmenidine, long-term benzodiazepines, and anticholinergic drugs such as hydroxyzine. Conclusion We showed potential drug-related problems in elderly patients with advanced CKD. Healthcare providers must reassess each medication prescribed for this population, particularly the specific medications identified here.

scholarly journals Pre-eclampsia and risk of later kidney disease: nationwide cohort study

BMJ ◽  
2019 ◽  
pp. l1516 ◽  
Author(s):  
Jonas H Kristensen ◽  
Saima Basit ◽  
Jan Wohlfahrt ◽  
Mette Brimnes Damholt ◽  
Heather A Boyd
Keyword(s):  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Outcome Measure ◽  
Cox Regression ◽  
Hazard Ratio ◽  
Hazard Ratios ◽  
Gestational Age At Delivery ◽  
History Of

ABSTRACTObjectiveTo investigate associations between pre-eclampsia and later risk of kidney disease.DesignNationwide register based cohort study.SettingDenmark.PopulationAll women with at least one pregnancy lasting at least 20 weeks between 1978 and 2015.Main outcome measureHazard ratios comparing rates of kidney disease between women with and without a history of pre-eclampsia, stratified by gestational age at delivery and estimated using Cox regression.ResultsThe cohort consisted of 1 072 330 women followed for 19 994 470 person years (average 18.6 years/woman). Compared with women with no previous pre-eclampsia, those with a history of pre-eclampsia were more likely to develop chronic renal conditions: hazard ratio 3.93 (95% confidence interval 2.90 to 5.33, for early preterm pre-eclampsia (delivery <34 weeks); 2.81 (2.13 to 3.71) for late preterm pre-eclampsia (delivery 34-36 weeks); 2.27 (2.02 to 2.55) for term pre-eclampsia (delivery ≥37 weeks). In particular, strong associations were observed for chronic kidney disease, hypertensive kidney disease, and glomerular/proteinuric disease. Adjustment for cardiovascular disease and hypertension only partially attenuated the observed associations. Stratifying the analyses on time since pregnancy showed that associations between pre-eclampsia and chronic kidney disease and glomerular/proteinuric disease were much stronger within five years of the latest pregnancy (hazard ratio 6.11 (3.84 to 9.72) and 4.77 (3.88 to 5.86), respectively) than five years or longer after the latest pregnancy (2.06 (1.69 to 2.50) and 1.50 (1.19 to 1.88). By contrast, associations between pre-eclampsia and acute renal conditions were modest.Conclusions Pre-eclampsia, particularly early preterm pre-eclampsia, was strongly associated with several chronic renal disorders later in life. More research is needed to determine which women are most likely to develop kidney disease after pre-eclampsia, what mechanisms underlie the association, and what clinical follow-up and interventions (and in what timeframe post-pregnancy) would be most appropriate and effective.

scholarly journals The first consecutive 5000 patients with Coronavirus Disease 2019 from Qatar; a nation-wide cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ali S. Omrani ◽  
Muna A. Almaslamani ◽  
Joanne Daghfal ◽  
Rand A. Alattar ◽  
Mohamed Elgara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Kidney Disease ◽  
Older Age ◽  
Icu Admission ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Male Sex

Abstract Background There are limited data on Coronavirus Disease 2019 (COVID-19) outcomes at a national level, and none after 60 days of follow up. The aim of this study was to describe national, 60-day all-cause mortality associated with COVID-19, and to identify risk factors associated with admission to an intensive care unit (ICU). Methods This was a retrospective cohort study including the first consecutive 5000 patients with COVID-19 in Qatar who completed 60 days of follow up by June 17, 2020. The primary outcome was all-cause mortality at 60 days after COVID-19 diagnosis. In addition, we explored risk factors for admission to ICU. Results Included patients were diagnosed with COVID-19 between February 28 and April 17, 2020. The majority (4436, 88.7%) were males and the median age was 35 years [interquartile range (IQR) 28–43]. By 60 days after COVID-19 diagnosis, 14 patients (0.28%) had died, 10 (0.2%) were still in hospital, and two (0.04%) were still in ICU. Fatal COVID-19 cases had a median age of 59.5 years (IQR 55.8–68), and were mostly males (13, 92.9%). All included pregnant women (26, 0.5%), children (131, 2.6%), and healthcare workers (135, 2.7%) were alive and not hospitalized at the end of follow up. A total of 1424 patients (28.5%) required hospitalization, out of which 108 (7.6%) were admitted to ICU. Most frequent co-morbidities in hospitalized adults were diabetes (23.2%), and hypertension (20.7%). Multivariable logistic regression showed that older age [adjusted odds ratio (aOR) 1.041, 95% confidence interval (CI) 1.022–1.061 per year increase; P < 0.001], male sex (aOR 4.375, 95% CI 1.964–9.744; P < 0.001), diabetes (aOR 1.698, 95% CI 1.050–2.746; P 0.031), chronic kidney disease (aOR 3.590, 95% CI 1.596–8.079, P 0.002), and higher BMI (aOR 1.067, 95% CI 1.027–1.108 per unit increase; P 0.001), were all independently associated with increased risk of ICU admission. Conclusions In a relatively younger national cohort with a low co-morbidity burden, COVID-19 was associated with low all-cause mortality. Independent risk factors for ICU admission included older age, male sex, higher BMI, and co-existing diabetes or chronic kidney disease.

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