To assess the feasibility of a remote care model for high-risk COVID-19 patients, identify risk factors for hospital admission, and propose modifications to the tested model.
We conducted a ...multicenter observational study of 225 patients (55.1% male) treated at three primary care centers between October 2020 and February 2022. Patients were enrolled into a telemonitoring program if they had a mild-moderate course of COVID-19 confirmed by polymerase chain reaction testing and were classified as high-risk for COVID-19 deterioration. Patients measured their vital signs three times daily, consulted their primary care physician every other day, and were followed up for 14 days. At inclusion, data were collected with a semi-structured questionnaire, and blood was drawn for laboratory analysis. A multivariable Cox regression model was used to determine predictors of hospital admission.
The median age was 62 years (range 24-94). The hospital admission rate was 24.4%, and the mean time from inclusion to hospital admission was 2.7±2.9 days. A total of 90.9% of patients were hospitalized within the first five days. A Cox regression model, adjusted for age, sex, and the presence of hypertension, revealed that the main predictors of hospital admission were type-2 diabetes (hazard ratio HR 2.38, 95% confidence interval CI 1.19-4.77, P=0.015) and thrombocytopenia (HR 2.46, 95% CI 1.33-4.53, P=0.004).
Telemonitoring of vital signs is a feasible method of remote care that helps identify patients requiring immediate hospital admission. For further scale-up, we suggest shortening call intervals in the first five days, when the risk of hospital admission is highest, and giving special attention to patients with type-2 diabetes and thrombocytopenia at inclusion.
Background To overcome obstacles within the Slovenian organised cervical cancer screening programme, a randomised pilot study of human papillomavirus (HPV) self-sampling among non-attenders was ...performed, aiming to assess three different screening approaches. Participants and methods Non-attenders aged 30-64 years from two Slovenian regions were randomised to two HPV self-sampling groups-the opt-in (I1, n = 14.400) and the opt-out (I2, n = 9.556), with a control group (P, n = 2.600). Self-collected samples were analysed using the Hybrid Capture 2 assay. HPV-positive women were invited to a colposcopy. The overall and type-specific intention-to-screen response rates and histological outcomes with a positive predictive value (PPV) according to the women's age, the screening approach, the level of protection resulting from previous screening history, and the region of residence were assessed. Results Of the 26.556 women enrolled, 8.972 (33.8%) responded with self-sample for HPV testing and/or traditional cytology within one year of enrolment. Response rates were 37.7%, 34.0% and 18.4% (p < 0.050) for opt-out, opt-in and control groups. Cervical intraepithelial neoplasia (CIN)2+ was diagnosed in 3.9/1.000, 3.4/1.000, and 3.1/1.000 women (p > 0.050), respectively. PPV of the HPV self-sampling was 12.0% and 9.6% for CIN2+ and CIN3+. The highest PPV was obtained in non-attenders in screening programme for more than 10-years and concordant results of HPV testing with 40.8% for CIN2+ and 38.8% for CIN3+. Conclusions The results of our study show that a high response to HPV self-sampling can be achieved also in an opt-in approach, if women are encouraged to choose between self-sampling at home and screening with gynaecologist. In addition, clinically important risk difference for a high-grade cervical lesion exists in the case of a positive result of HPV testing on self-collected samples, depending on the length of the interval since last screening. Stratified management of these women should be strongly considered. Women who were not screened with cytology for at least 10 years should be referred to immediate colposcopy for histology verification instead to delayed re-testing.
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