Background
Nursing homes are highly vulnerable to the occurrence of COVID-19 outbreaks, which result in high lethality rates. Most of them are not prepared to SARS-CoV-2 pandemic.
Methods
A coordinated on-site medicalization program (MP) in response to a sizeable COVID-19 outbreak in four nursing homes was organized, with the objectives of improving survival, offering humanistic palliative care to residents in their natural environment, and reducing hospital referrals. Ten key processes and interventions were established (provision of informatics infrastructure, medical equipment, and human resources, universal testing, separation of 'clean' and 'contaminated' areas, epidemiological surveys, and unified protocols stratifying for active or palliative care approach, among others). Main outcomes were a composite endpoint of survival or optimal palliative care (SOPC), survival, and referral to hospital.
Results
272 out of 457 (59.5%) residents and 85 out of 320 (26.5%) staff members were affected. The SOPC, survival, and referrals to hospital, occurred in 77%, 72.5%, and 29% of patients diagnosed before MP start, with respect to 97%, 83.7% and 17% of those diagnosed during the program, respectively. The SOPC was independently associated to MP (OR=15 [3-81]); and survival in patients stratified to active approach, to the use of any antiviral treatment (OR=28 [5-160]). All outbreaks were controlled in 39 [37-42] days.
Conclusions
A coordinated on-site medicalization program of nursing homes with COVID-19 outbreaks achieved a higher survival or optimal palliative care rate, and a reduction in referrals to hospital, thus ensuring rigorous but also humanistic and gentle care to residents.
SARS‐CoV‐2 is causing devastation both in human lives and economic resources. When the world seems to start overcoming the pandemics scourge, the threat of long‐term complications of COVID‐19 is rising. Reports show that some of these long‐term effects may contribute to the main cause of morbimortality worldwide: the vascular diseases. Given the evidence of damage in the endothelial cells due to SARS‐CoV‐2 and that endothelial dysfunction precedes the development of arteriosclerosis, the authors propose to measure endothelial function around 6–12 months after acute disease in hypertensive patients, especially if they have other cardiovascular risk factors or overt vascular disease. The methods the authors propose are cost‐effective and can be made available to any hypertension unit. These methods could be the “in vivo” assessment of endothelial function by flow mediated vasodilatation after ischemia by Laser‐Doppler flowmetry and the measurement of plasma free circulating DNA and microparticles of endothelial origin.
The significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for in-hospital death due to COVID-19 designed using clinical and analytical parameters of patients diagnosed in the first wave of the pandemic. The nomogram uses five variables measured on arrival to the emergency department (ED): age, sex, oxygen saturation, C-reactive protein level, and neutrophil-to-platelet ratio. Validation was performed in the Spanish SEMI-COVID-19 Registry, which included consecutive patients hospitalized with confirmed COVID-19 in Spain. The cohort was divided into three time periods: T1 from February 1 to June 10, 2020 (first wave), T2 from June 11 to December 31, 2020 (second wave, pre-vaccination period), and T3 from January 1 to December 5, 2021 (vaccination period). The model’s accuracy in predicting in-hospital COVID-19 mortality was assessed using the area under the receiver operating characteristics curve (AUROC). Clinical and laboratory data from 22,566 patients were analyzed: 15,976 (70.7%) from T1, 4,233 (18.7%) from T2, and 2,357 from T3 (10.4%). AUROC of the RIM Score-COVID in the entire SEMI-COVID-19 Registry was 0.823 (95%CI 0.819–0.827) and was 0.834 (95%CI 0.830–0.839) in T1, 0.792 (95%CI 0.781–0.803) in T2, and 0.799 (95%CI 0.785–0.813) in T3. The RIM Score-COVID is a simple, easy-to-use method for predicting in-hospital COVID-19 mortality that uses parameters measured in most EDs. This tool showed good predictive ability in successive disease waves.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11739-023-03200-3.
Blood pressure variability and cognitive dysfunction: What is the cause and what is the consequence?Dear Sir, We read with great interest the paper entitled "Blood pressure variability and cognitive dysfunction: A systematic review and metaanalysis of longitudinal cohort studies" recently published in the
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