Thirty-Day Complications, Unplanned Hospital Encounters, and Mortality after Endosonography and/or Guided Bronchoscopy: A Prospective Study.

BACKGROUND AND OBJECTIVE: Limited data exist regarding the adverse events of advanced diagnostic bronchoscopy, with most of the available information derived from retrospective datasets that primarily focus on early complications. METHODS: We conducted a 15-month prospective cohort study among consecutive patients undergoing endosonography and/or guided bronchoscopy under general anesthesia. We evaluated the 30-day incidence of severe complications, any complication, unplanned hospital encounters, and deaths. Additionally, we analyzed the time of onset (immediate, within 1 h of the procedure; early, 1 h-24 h; late, 24 h-30 days) and identified risk factors associated with these events. RESULTS: Thirty-day data were available for 697 out of 701 (99.4%) enrolled patients, with 85.6% having suspected malignancy and multiple comorbidities (median Charlson Comorbidity Index (IQR): 4 (2-5)). Severe complications occurred in only 17 (2.4%) patients, but among them, 10 (58.8%) had unplanned hospital encounters and 2 (11.7%) died within 30 days. A significant proportion of procedure-related severe complications (8/17, 47.1%); unplanned hospital encounters (8/11, 72.7%); and the two deaths occurred days or weeks after the procedure. Low-dose attenuation in the biopsy site on computed tomography was independently associated with any complication (OR: 1.87; 95% CI 1.13-3.09); unplanned hospital encounters (OR: 2.17; 95% CI 1.10-4.30); and mortality (OR: 4.19; 95% CI 1.74-10.11). CONCLUSIONS: Severe complications arising from endosonography and guided bronchoscopy, although uncommon, have significant clinical consequences. A substantial proportion of adverse events occur days after the procedure, potentially going unnoticed and exerting a negative clinical impact if a proactive surveillance program is not implemented.

Is BMI Associated with COVID-19 Severity? A Retrospective Observational Study.

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.

Factors Associated with ICU Admission in Patients with COVID-19: The GOL2DS Score.

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.

Effect of influenza vaccine on COVID-19 mortality: a retrospective study.

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.