Symptom-based scoring technique by machine learning to predict COVID-19: a validation study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) surges, such as that which occurred when omicron variants emerged, may overwhelm healthcare systems. To function properly, such systems should balance detection and workloads by improving referrals using simple yet precise and sensitive diagnostic predictions. A symptom-based scoring system was developed using machine learning for the general population, but no validation has occurred in healthcare settings. We aimed to validate a COVID-19 scoring system using self-reported symptoms, including loss of smell and taste as major indicators. METHODS: A cross-sectional study was conducted to evaluate medical records of patients admitted to Dr. Sardjito Hospital, Yogyakarta, Indonesia, from March 2020 to December 2021. Outcomes were defined by a reverse-transcription polymerase chain reaction (RT-PCR). We compared the symptom-based scoring system, as the index test, with antigen tests, antibody tests, and clinical judgements by primary care physicians. To validate use of the index test to improve referral, we evaluated positive predictive value (PPV) and sensitivity. RESULTS: After clinical judgement with a PPV of 61% (n = 327/530, 95% confidence interval [CI]: 60% to 62%), confirmation with the index test resulted in the highest PPV of 85% (n = 30/35, 95% CI: 83% to 87%) but the lowest sensitivity (n = 30/180, 17%, 95% CI: 15% to 19%). If this confirmation was defined by either positive predictive scoring or antigen tests, the PPV was 92% (n = 55/60, 95% CI: 90% to 94%). Meanwhile, the sensitivity was 88% (n = 55/62, 95% CI: 87% to 89%), which was higher than that when using only antigen tests (n = 29/41, 71%, 95% CI: 69% to 73%). CONCLUSIONS: The symptom-based COVID-19 predictive score was validated in healthcare settings for its precision and sensitivity. However, an impact study is needed to confirm if this can balance detection and workload for the next COVID-19 surge.

Progressive Worsening of Neurological Manifestations in HIV-Associated Opportunistic Central Nervous System (CNS) Infection Patients After COVID-19 Vaccinations: A Possible Co-Incidence Causality.

BACKGROUND The iceberg phenomenon (in which the most of a problem is invisible) of people living with HIV/AIDS, particularly those with unknown HIV status, has been epidemiologically challenging. Central nervous system (CNS) opportunistic infections in patients with HIV/AIDS are one of the leading causes of morbidity and mortality in people living with HIV/AIDS. There are currently limited data on the immunogenicity, safety, and efficacy of COVID-19 vaccines in people living with HIV/AIDS with its associated opportunistic CNS infections as well as those without antiretroviral treatment. CASE REPORT Two young men with previously unknown HIV status and its related opportunistic infections received their first doses of COVID-19 vaccine (Vero Cell), inactivated. Both patients had the risk factor of having sex with men (men who have sex with men). Fever and first neurological symptoms occurred within the first few days after vaccination. Both patients were hospitalized and were tested positive for HIV for the first time. Both were further diagnosed from brain imaging as having CNS opportunistic infections. A presumptive diagnosis of cerebral toxoplasmosis was established as the working diagnosis according to the laboratory and epidemiological factors. Despite the treatment, neurological and clinical deficits worsened and eventually led to death in both patients. CONCLUSIONS The causality analyses showed that both adverse events had a possible inconsistent causal relationship to COVID-19 vaccination. Our cases may reflect the need for further studies on the safety of COVID-19 vaccines in people with HIV/AIDS-associated CNS opportunistic infection as well as people with HIV/AIDS who never receive antiretroviral treatment (ART).

Roles and Problems of Stroke Caregivers: A Qualitative Study in Yogyakarta, Indonesia.

Background: Caregivers play a central role in post-stroke patients' care. However, the role of and problems managed by caregivers have not been widely studied, particularly in Indonesia. This study aims to explore the roles and problems of caregivers in post- stroke patients' care. Method: This was a qualitative study. Seven caregivers of post-stroke patients from the homecare clinic of Dr Sardjito General Hospital were purposely selected during January 2017 to June 2018. Focus group discussions were conducted to explore the roles and problems of caregiving. Results: Themes related to caregivers' roles were: connecting patients with medical personnel and other family members, maintaining patients' health conditions by fulfilling basic needs and assisting rehabilitation, as well as maintaining patients' psychological conditions by encouraging conversation, telling jokes, or recreation. On the other hand, themes related to caregivers' problems were: lack of knowledge caused by education inadequacy, underappreciated and unconcerned family, suboptimal service including limited physiotherapy and pharmacy resource, unthorough administration, lack of communication, physical limitations, and burnout, as well as uncooperative patients. Conclusions: Caregivers play essential roles as communicators and help to maintain patient's health conditions. Common problems are related to a lack of knowledge about strokes and a lack of attention from family. Further research to study the effects of these findings on the quality of life of both patient and their caregiver, as well as how to handle the caregiver issues should be investigated.