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2.
Vaccines (Basel) ; 11(2)2023 Feb 06.
Article in English | MEDLINE | ID: covidwho-2228972

ABSTRACT

All-cause mortality related to the SARS-CoV-2 infection has declined from the first wave to subsequent waves, probably through vaccination programs and the availability of effective antiviral therapies. Our study aimed to evaluate the impact of the SARS-CoV-2 vaccination on the prognosis of infected patients. Overall, we enrolled 545 subjects during the Delta variant wave and 276 ones during the Omicron variant wave. Data were collected concerning vaccination status, clinical parameters, comorbidities, lung involvement, laboratory parameters, and pharmacological treatment. Outcomes were admission to the intensive care unit (ICU) and 30-day all-cause mortality. Overall, the final sample included 821 patients with a mean age of 62 ± 18 years [range 18-100], and 59% were men. Vaccinated patients during the Delta wave were 37% (over ¾ with two doses), while during the Omicron wave they were 57%. Vaccinated patients were older (68 vs. 57 years), and 62% had at least one comorbidity Admission to the ICU was 20%, and the mortality rate at 30 days was 14%. ICU admissions were significantly higher during the Delta wave than during Omicron (OR 1.9, 95% CI 1.2-3.1), while all-cause mortality did not differ. Unvaccinated patients had a higher risk of ICU admission (OR 2.0, 95% CI 1.3-3.1) and 30-day all-cause mortality (OR 1.7, 95% CI 1.3-2.7). Results were consistent for both Delta and Omicron variants. Overall, vaccination with at least two doses was associated with a reduced need for ICU admission. Even one shot of the vaccine was associated with a significantly reduced 30-day mortality.

3.
Curr Med Chem ; 30(39): 4466-4478, 2023.
Article in English | MEDLINE | ID: covidwho-2228537

ABSTRACT

BACKGROUND: Coronavirus-19 disease (COVID-19) is an infection with high morbidity and mortality. Obesity and low body mass index (BMI) have both been linked to severe COVID-19, but recent studies have failed to confirm these associations. OBJECTIVES: The aim of this study was to examine the relationship between BMI and disease progression in hospitalised patients with COVID-19. METHODS: We performed a monocentric, retrospective observational study at the Fondazione Policlinico Gemelli in Rome. We enrolled 1544 (977 men) patients who presented to the emergency department with a positive COVID-19 test between January and December 2021. We divided patients into five classes based on BMI. Demographic, clinical, laboratory, and radiological data were collected for all patients. RESULTS: Of the 1544 patients, 1297 recovered after hospitalization, whereas 247 (16%) died. Of those who died, 16/247 (6.5%) had a BMI below18.5 kg/m2, 72/247 (29%) had a BMI between 18.5 and 24.99 kg/m2, 103/247 (42%) had a BMI between 25 and 29.99 kg/m2, 36/247 (15%) had a BMI between 30 and 35 kg/m2, and 20/247 (8%) had a BMI above 35 kg/m2. After adjusting the results for age, sex, and concomitant diseases using multivariate logistic regression, we found a significantly increased risk of intensive care unit (ICU) admission in severely obese patients (BMI > 35) compared to normal weight patients (BMI: 18.5-24.99) (p > 0.001). Mortality was not associated with BMI. CONCLUSION: We confirm that severe obesity is a risk factor for ICU admission in patients with COVID-19. No association was found between BMI and mortality.


Subject(s)
COVID-19 , Male , Humans , SARS-CoV-2 , Body Mass Index , Hospitalization , Obesity/complications , Risk Factors , Retrospective Studies
4.
Applied Sciences ; 13(1):44, 2023.
Article in English | MDPI | ID: covidwho-2166202

ABSTRACT

(1) Background: Viral respiratory infections are common triggers for asthma exacerbation, often leading patients to the emergency department (ED). COVID-19, the disease caused by the SARS-CoV-2 virus, typically presents with respiratory symptoms, from minor symptoms, up to and including severe acute respiratory failure. Data on the association between asthma and COVID-19 are conflicting, and those from an ED setting are scarce. Our aims were to assess the prevalence and outcome of patients with asthma admitted to the ED for COVID-19. (2) Methods: We performed a case-control study, extracting data from a registry of adult patients with confirmed COVID-19 consecutively admitted to the ED of our hospital between March 2020 and January 2021. (3) Results: We identified 83 patients with asthma out of 935 individuals (prevalence 8.9%). There were no significant differences between cases and controls regarding both the proportion of hospital admissions and patients with critical COVID-19. (OR 1.37;95% CI 0.52-3.56;and (OR 0.74;95% CI 0.31-1.78 respectively). (4) Conclusions: In patients admitted to the ED for COVID-19, the prevalence of asthma was not higher than expected, and asthma was not associated with a worse outcome, in terms of the rate of hospitalization and critical COVID-19 disease.

5.
Diagnostics (Basel) ; 12(7)2022 Jul 03.
Article in English | MEDLINE | ID: covidwho-1928516

ABSTRACT

Chest pain and dyspnea are common symptoms in patients presenting to the emergency room (ER); oftentimes it is not possible to clearly identify the underlying cause, which may cause the patient to have to return to the ER. In other cases, while it is possible to identify the underlying cause, it is necessary to perform a large number of tests before being able to make a diagnosis. Over the last twenty years, emergency medicine physicians have had the possibility of using ultrasound to help them make and rule out diagnoses. Specific ultrasound tests have been designed to evaluate patients presenting with specific symptoms to ensure a fast, yet complete, evaluation. In this paper, we examine the role of ultrasound in helping physicians understand the etiology behind chest pain and dyspnea. We analyze the different diseases and disorders which may cause chest pain and dyspnea as symptoms and discuss the corresponding ultrasound findings.

6.
Medicina (Kaunas) ; 57(12)2021 Dec 12.
Article in English | MEDLINE | ID: covidwho-1572559

ABSTRACT

Background and Objectives: The COVID-19 pandemic has been shaking lives around the world for nearly two years. The discovery of highly effective vaccines has not been able to stop the transmission of the virus. SARS-CoV-2 shows completely different clinical manifestations. A large percentage (about 40%) of admitted patients require treatment in an intensive care unit (ICU). This study investigates the factors associated with admission of COVID-19 patients to the ICU and whether it is possible to obtain a score that can help the emergency physician to select the hospital ward. Materials and Methods: We retrospectively recorded 313 consecutive patients who were presented to the emergency department (ED) of our hospital and had a diagnosis of COVID-19 confirmed by polymerase chain reaction (PCR) on an oropharyngeal swab. We used multiple logistic regression to evaluate demographic, clinical, and laboratory data statistically associated with ICU admission. These variables were used to create a prognostic score for ICU admission. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver-operating characteristic curve (ROC) of the score for predicting ICU admission during hospitalization were calculated. Results: Of the variables evaluated, only blood type A (p = 0.003), PaO2/FiO2 (p = 0.002), LDH (p = 0.004), lactate (p = 0.03), dyspnea (p = 0.03) and SpO2 (p = 0.0228) were significantly associated with ICU admission after adjusting for sex, age and comorbidity using multiple logistic regression analysis. We used these variables to create a prognostic score called GOL2DS (group A, PaO2/FiO2, LDH, lactate and dyspnea, and SpO2), which had high accuracy in predicting ICU admission (AUROC 0.830 [95% CI, 0.791-0.892). Conclusions: In our single-center experience, the GOL2DS score could be useful in identifying patients at high risk for ICU admission.


Subject(s)
COVID-19 , Hospitalization , Humans , Intensive Care Units , Oxygen Saturation , Pandemics , ROC Curve , Retrospective Studies , SARS-CoV-2
8.
Intern Emerg Med ; 16(7): 1849-1855, 2021 10.
Article in English | MEDLINE | ID: covidwho-1141492

ABSTRACT

It has been proposed that vaccines may exert an unspecific protective effect against infectious agents, different than expected. Coronavirus disease 2019 (COVID-19) is a pandemic infection with high mortality in older patients due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The high number of vaccinations may be one of the reasons why children show a lower susceptibility to SARS-CoV-2 infection and milder severity when compared to adults. We have designed a study aimed at investigating whether the influenza vaccine may reduce the susceptibility and severity of SARS-CoV-2 infection. We retrospectively enrolled 635 patients who accessed our Emergency Department from March 1st to June 30th, 2020, and were diagnosed with COVID-19 infection confirmed by an RT-PCR on an oropharyngeal swab. Clinical data, outcomes, and influenza vaccination status were collected from the electronic medical records of our Hospital. We also used data from the Italian Health Ministry to compare the prevalence of flu vaccination among the general population of the Lazio Region and our enrolled patients. We then compared clinical outcomes between vaccinated and non-vaccinated patients, by univariate and multivariate analysis. COVID-19-positive patients older than 65 years reported a lower prevalence of flu vaccination when compared to the general population residing in the Lazio (p = 0.004). After correction for gender, age, and comorbidities, we found a lower risk of death at 60 days in patients with flu vaccination than in not vaccinated patients (p = 0.001). Our study shows that flu vaccination could reduce the mortality of COVID-19. Prospective studies are needed to confirm this result.


Subject(s)
COVID-19/prevention & control , Influenza Vaccines/therapeutic use , Influenza, Human/prevention & control , Vaccination/statistics & numerical data , Adult , COVID-19/mortality , COVID-19 Testing/statistics & numerical data , Child , Humans , Influenza, Human/mortality , Prognosis
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