Genesis, evolution and effectiveness of Singapore's national sorting logic and home recovery policies in handling the COVID-19 Delta and Omicron waves

Singapore developed several novel strategies to transition towards "living with COVID-19", while protecting hospital capacity. The Home Recovery Programme (HRP) was a national, centrally-administered programme that leveraged technology and telemedicine to allow low-risk individuals to safely recover at home. The HRP was subsequently expanded by partnering primary care doctors in caring for more cases in the community. A key enabler was the National Sorting Logic (NSL), a multi-step triage algorithm allowing risk-stratification of large numbers of COVID-19 patients at a national-level. At the core of the NSL was a risk assessment criterion, comprising of Comorbidities-of-concern, Age, Vaccination status, Examination/clinical findings and Symptoms (CAVES). The NSL sorted all COVID-19 cases into the various levels of care – Primary Care, HRP, COVID-19 Treatment Facility and Hospital. By adopting a national approach towards managing healthcare capacities and triaging COVID-19 patients, Singapore was able to prioritize healthcare resources for high-risk individuals and prevent hospital capacities from being overwhelmed. As part of the national response strategy to tackle COVID-19, Singapore set up and integrated key national databases to enable responsive data analysis and support evidence-based policy decisions. Using data collected between 30 August 2021 to 8 June 2022, we conducted a retrospective cohort study to evaluate the outcomes and effectiveness of vaccination policies, NSL and home-based recovery. A total of 1,240,183 COVID-19 cases were diagnosed during this period, spanning both Delta and Omicron waves, Overall, Singapore experienced very low severity (0.51%) and mortality (0.11%) rates. Vaccinations significantly lowered severity and mortality risks across all age groups. The NSL was effective in predicting risk of severe outcomes and was able to right-site >93% of cases into home-based recovery. By leveraging high vaccination rates, technology and telemedicine, Singapore was able to safely navigate through two COVID-19 waves without impacting severity/mortality rates nor overwhelming hospital capacities.

Genesis, evolution and effectiveness of Singapore's national sorting logic and home recovery policies in handling the COVID-19 Delta and Omicron waves.

Singapore developed several novel strategies to transition towards "living with COVID-19", while protecting hospital capacity. The Home Recovery Programme (HRP) was a national, centrally-administered programme that leveraged technology and telemedicine to allow low-risk individuals to safely recover at home. The HRP was subsequently expanded by partnering primary care doctors in caring for more cases in the community. A key enabler was the National Sorting Logic (NSL), a multi-step triage algorithm allowing risk-stratification of large numbers of COVID-19 patients at a national-level. At the core of the NSL was a risk assessment criterion, comprising of Comorbidities-of-concern, Age, Vaccination status, Examination/clinical findings and Symptoms (CAVES). The NSL sorted all COVID-19 cases into the various levels of care - Primary Care, HRP, COVID-19 Treatment Facility and Hospital. By adopting a national approach towards managing healthcare capacities and triaging COVID-19 patients, Singapore was able to prioritize healthcare resources for high-risk individuals and prevent hospital capacities from being overwhelmed. As part of the national response strategy to tackle COVID-19, Singapore set up and integrated key national databases to enable responsive data analysis and support evidence-based policy decisions. Using data collected between 30 August 2021 to 8 June 2022, we conducted a retrospective cohort study to evaluate the outcomes and effectiveness of vaccination policies, NSL and home-based recovery. A total of 1,240,183 COVID-19 cases were diagnosed during this period, spanning both Delta and Omicron waves, Overall, Singapore experienced very low severity (0.51%) and mortality (0.11%) rates. Vaccinations significantly lowered severity and mortality risks across all age groups. The NSL was effective in predicting risk of severe outcomes and was able to right-site >93% of cases into home-based recovery. By leveraging high vaccination rates, technology and telemedicine, Singapore was able to safely navigate through two COVID-19 waves without impacting severity/mortality rates nor overwhelming hospital capacities.

Enhanced Monitoring System to Better Monitor High-Risk COVID-19 Patients.

Telemedicine (TM) is a useful tool to extend medical care during a pandemic. TM was extensively utilized in Singapore during the COVID-19 pandemic as part of the Nation's COVID-19 healthcare strategy. Patients were risk stratified to prioritize limited healthcare resources and the Telemedicine Allocation Reconciliation System (TMARS) was adapted to monitor and manage limited TM resources. High-Risk patients (Protocol 1) had an escalation rate of 4.87%, compared to the non-High-Risk patients' 0.002% and TM doctors spent an average of six hours to complete one tele-consultation. In order to optimize the efficiency of the TM system, an enhanced monitoring system was implemented in March 2022. The intent was to focus monitoring efforts on the High-Risk patients. High-Risk patients reporting sick for the first time were prioritized to receive tele-consultations through this system. With the aid of a data-driven dashboard, the Operations Control and Monitoring team (OCM) was able to closely monitor the performance of the various TM providers (TMPs), sent them timely reminders and re-assigned patients to other TMPs when the requisite turnaround time was not met. Implementing the enhanced monitoring system resulted in a significant reduction in the average time taken to provide tele-consultations. After 3 months of implementation, the percentages of consultations completed within two hours were raised from 75.7% (February 2022) to 96.8% (May 2022), greatly increasing productivity and efficiency.

Iodine contrast exposure and incident COVID-19 infection.

Background: Iodine and particularly its oxidated forms have long been recognized for its effective antiseptic properties. Limited in vitro and in vivo data suggest that iodine exposure may rapidly inactivate, reduce transmission, and reduce infectivity of SARS-CoV-2. We hypothesized that iodine exposure may be associated with decreased incident COVID-19 infection. Methods: A retrospective population-level cohort analysis was performed of the U.S. Veterans Health Administration between 1 March 2020 and 31 December 2020, before the widespread availability of vaccines against SARS-CoV-2. Multivariable logistic regression models estimated the adjusted odds ratios (OR) and 95% confidence intervals (CI) of the associations between iodinated contrast exposure and incident COVID-19 infection, adjusting for age, sex, race/ethnicity, place of residence, socioeconomic status, and insurance status. Results: 530,942 COVID-19 tests from 333,841 Veterans (mean ± SD age, 62.7 ± 15.2 years; 90.2% men; 61.9% non-Hispanic Whites) were analyzed, of whom 9% had received iodinated contrast ≤60 days of a COVID-19 test. Iodine exposure was associated with decreased incident COVID-19 test positivity (OR, 0.75 95% CI, 0.71-0.78). In stratified analyses, the associations between iodinated contrast use and decreased COVID-19 infection risk did not differ by age, sex, and race/ethnicity. Conclusion: Iodine exposure may be protective against incident COVID-19 infection. Weighed against the risks of supraphysiologic iodine intake, dietary, and supplemental iodine nutrition not to exceed its Tolerable Upper Limit may confer an antimicrobial benefit against SARS-CoV-2. A safe but antimicrobial level of iodine supplementation may be considered in susceptible individuals, particularly in geographic regions where effective COVID-19 vaccines are not yet readily available.

Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates.

Background: Dubai (United Arab Emirates; UAE) has a multi-national population which makes it exceptionally interesting study sample because of its unique demographic factors. Objective: To stratify the risk factors for the multinational society of the UAE. Methods: A retrospective chart review of 560 patients sequentially admitted to inpatient care with laboratory confirmed COVID-19 was conducted. We studied patients' demographics, clinical features, laboratory results, disease severity, and outcomes. The parameters were compared across different ethnic groups using tree-based estimators to rank the ethnicity-specific disease features. We trained ML classification algorithms to build a model of ethnic specificity of COVID-19 based on clinical presentation and laboratory findings on admission. Results: Out of 560 patients, 43.6% were South Asians, 26.4% Middle Easterns, 16.8% East Asians, 10.7% Caucasians, and 2.5% are under others. UAE nationals represented half of the Middle Eastern patients, and 13% of the entire cohort. Hypertension was the most common comorbidity in COVID-19 patients. Subjective complaint of fever and cough were the chief presenting symptoms. Two-thirds of the patients had either a mild disease or were asymptomatic. Only 20% of the entire cohort needed oxygen therapy, and 12% needed ICU admission. Forty patients (~7%) needed invasive ventilation and fifteen patients died (2.7%). We observed differences in disease severity among different ethnic groups. Caucasian or East-Asian COVID-19 patients tended to have a more severe disease despite a lower risk profile. In contrast to this, Middle Eastern COVID-19 patients had a higher risk factor profile, but they did not differ markedly in disease severity from the other ethnic groups. There was no noticeable difference between the Middle Eastern subethnicities-Arabs and Africans-in disease severity (p = 0.81). However, there were disparities in the SOFA score, D-dimer (p = 0.015), fibrinogen (p = 0.007), and background diseases (hypertension, p = 0.003; diabetes and smoking, p = 0.045) between the subethnicities. Conclusion: We observed variations in disease severity among different ethnic groups. The high accuracy (average AUC = 0.9586) of the ethnicity classification model based on the laboratory and clinical findings suggests the presence of ethnic-specific disease features. Larger studies are needed to explore the role of ethnicity in COVID-19 disease features.

Impact of Age and Sex on COVID-19 Severity Assessed From Radiologic and Clinical Findings.

Background: Data on the epidemiological characteristics and clinical features of COVID-19 in patients of different ages and sex are limited. Existing studies have mainly focused on the pediatric and elderly population. Objective: Assess whether age and sex interact with other risk factors to influence the severity of SARS-CoV-2 infection. Material and Methods: The study sample included all consecutive patients who satisfied the inclusion criteria and who were treated from 24 February to 1 July 2020 in Dubai Mediclinic Parkview (560 cases) and Al Ain Hospital (605 cases), United Arab Emirates. We compared disease severity estimated from the radiological findings among patients of different age groups and sex. To analyze factors associated with an increased risk of severe disease, we conducted uni- and multivariate regression analyses. Specifically, age, sex, laboratory findings, and personal risk factors were used to predict moderate and severe COVID-19 with conventional machine learning methods. Results: Need for O2 supplementation was positively correlated with age. Intensive care was required more often for men of all ages (p < 0.01). Males were more likely to have at least moderate disease severity (p = 0.0083). These findings were aligned with the results of biochemical findings and suggest a direct correlation between older age and male sex with a severe course of the disease. In young males (18-39 years), the percentage of the lung parenchyma covered with consolidation and the density characteristics of lesions were higher than those of other age groups; however, there was no marked sex difference in middle-aged (40-64 years) and older adults (≥65 years). From the univariate analysis, the risk of the non-mild COVID-19 was significantly higher (p < 0.05) in midlife adults and older adults compared to young adults. The multivariate analysis provided similar findings. Conclusion: Age and sex were important predictors of disease severity in the set of data typically collected on admission. Sexual dissimilarities reduced with age. Age disparities were more pronounced if studied with the clinical markers of disease severity than with the radiological markers. The impact of sex on the clinical markers was more evident than that of age in our study.

Physical activity is not associated with feelings of mental energy and fatigue after being sedentary for 8 hours or more

The objective of this study was to examine the associations between physical activity (PA) and sedentary behavior (SB) on feelings of: 1) mental energy (ME), 2) physical energy (PE), 3) mental fatigue (MF) and 4) physical fatigue (PF) in participants who report sitting for less than 8 h (<8 h) compared to those who report sitting for greater than 8 h (>8 h) during the initial lockdown phase of the COVID-19 pandemic. Using a longitudinal study design, we measured PA and SB using the International Physical Activity Questionnaire-Short Form (IPAQ0SF) and feelings of ME, PE, MF, PF and fatigue using the Trait-State Mental and Physical Energy and Fatigue Questionnaire. Participants were then split into 2 groups, <8hr and >8hr. A series of step-wise regression models were used controlling for demographic factors and other lifestyle factors (e.g. sleep, mental workload, diet). Among the 473 participants in the <8hr group, PA was associated with increased PE and ME and decreased MF. However, of the 366 participants in the >8hr group PA was only associated with increased PE and decreased PF. We found PA was not significantly associated with ME and MF for participants who reported sitting >8hr. Our results suggest that sitting for >8hr may negate the positive benefits of PA on ME and MF. We recommend that individuals with low levels of ME and MF and who sit for >8hr to prioritize reducing their sitting time. For individuals with low levels of PE or PF, increasing PA is likely beneficial regardless of SB.

Strategies for Management of Peritoneal Dialysis Patients in Singapore during COVID-19 Pandemic.

Peritoneal dialysis (PD) is the only well-established home-based dialysis therapy in Singapore. As it is a home-based modality, PD should be considered as a preferred mode of kidney replacement therapy (KRT) for patients with kidney failure during this COVID-19 pandemic as it avoids frequent visits to hospitals and/or satellite dialysis centres. The highly infectious nature of this virus has led to the implementation of the Disease Outbreak Response System Condition orange status in Singapore since early February 2020. This paper summarises the strategies for management of several aspects of PD in Singapore during this COVID-19 pandemic, including PD catheter insertion, PD training, home visit and assisted PD, outpatient PD clinic, inpatient management of PD patients with or without COVID-19 infection, PD as KRT for COVID-19 patients with acute kidney injury, management of common complications in PD (peritonitis and fluid overload), and management of PD inventory.

Going to war on COVID-19: Mobilizing an academic nephrology group practice.

AIM: The COVID-19 pandemic poses unprecedented operational challenges to nephrology divisions in every country as they cope with COVID-19-related kidney disease in addition to regular patient care. Although general approaches have been proposed, there is a lack of practical guidance for nephrology division response in a hospital facing a surge of cases. Here, we describe the specific measures that our division has taken in the hope that our experience in Singapore may be helpful to others. METHODS: Descriptive narrative. RESULTS: A compilation of operational responses to the COVID-19 pandemic taken by a nephrology division at a Singapore university hospital. CONCLUSION: Nephrology operational readiness for COVID-19 requires a clinical mindset shift from usual standard of care to a crisis exigency model that targets best outcomes for available resources. Rapid multi-disciplinary efforts that evolve flexibly with the local dynamics of the outbreak are required.