6 research outputs found

    Association of obesity paradox with prognosis of veno‐venous‐extracorporeal membrane oxygenation in patients with coronavirus disease 2019

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    Abstract Aim Although the obesity paradox is known for various diseases, including cancer and acute respiratory distress syndrome, little is known about veno‐venous extracorporeal membrane oxygenation (VV‐ECMO) in patients with coronavirus disease 2019 (COVID‐19). In this study, we aimed to investigate the association between body mass index (BMI) and prognosis in critical patients with COVID‐19 requiring VV‐ECMO. Methods We conducted a retrospective observational single‐center study at Yokohama City University Civic General Medical Center between March 2020 and October 2021. Participants were patients with COVID‐19 who required VV‐ECMO. They were classified into two groups: BMI ≤30 kg/m2 and >30 kg/m2. Results In total, 23 patients were included in the analysis, with a median BMI of 28.7 kg/m2. Overall, 22 patients were successfully weaned from the ECMO. When comparing the two groups, there was a trend toward fewer days from onset to ECMO induction in the BMI >30 kg/m2 group. Moreover, the two groups had a similar prognosis. There were no statistically significant differences in the number of days from onset to hospitalization or the duration of ECMO induction between the groups. Conclusion VV‐ECMO induction for patients with COVID‐19 may lead to earlier indications in patients with BMI >30 kg/m2 than in those with BMI ≤30 kg/m2

    Quantitative capillary refill time predicts sepsis in patients with suspected infection in the emergency department: an observational study

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    Abstract Background Outcomes in emergent patients with suspected infection depend on how quickly clinicians evaluate the patients and start treatment. This study was performed to compare the predictive ability of the quantitative capillary refill time (Q-CRT) as a new rapid index versus the quick sequential organ failure assessment (qSOFA) score and the systemic inflammatory response syndrome (SIRS) score for sepsis screening in the emergency department. Methods This was a multicenter, observational, retrospective study of adult patients with suspected infection. The area under the curve (AUC) of receiver operating characteristic curve analyses and multivariate analyses were used to explore associations of the Q-CRT with the qSOFA score, SIRS score, and lactate concentration. Results Of the 75 enrolled patients, 48 had sepsis. The AUC, sensitivity, and specificity of Q-CRT were 0.74, 58%, and 81%, respectively; those for the qSOFA score were 0.83, 66%, and 100%, respectively; those for the SIRS score were 0.61, 81%, and 40%, respectively, for SIRS score; and those for the lactate concentration were 0.76, 72%, and 81%, respectively. We found no statistically significant differences in the AUC between the scores. We then combined the Q-CRT and qSOFA score (Q-CRT/qSOFA combination) for sepsis screening. The AUC, sensitivity, and specificity of Q-CRT/qSOFA combination were 0.82, 83%, and 81%, respectively. Conclusions In this study, Q-CRT/qSOFA combination had better sensitivity than the qSOFA score alone and better specificity than the SIRS score alone. There was no significant difference in accuracy between Q-CRT/qSOFA combination and the qSOFA score or lactate concentration. The ability of the Q-CRT to predict sepsis may be similar to that of the qSOFA score or serum lactate concentration; therefore, measurement of the Q-CRT may be an alternative for invasive measurement of the blood lactate concentration in evaluating patients with suspected sepsis

    Severity predictors of COVID-19 in SARS-CoV-2 variant, delta and omicron period; single center study

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    BACKGROUND: The outcomes of coronavirus disease 2019 (COVID-19) treatment have improved due to vaccination and the establishment of better treatment regimens. However, the emergence of variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, and the corresponding changes in the characteristics of the disease present new challenges in patient management. This study aimed to analyze predictors of COVID-19 severity caused by the delta and omicron variants of SARS-CoV-2. METHODS: We retrospectively analyzed the data of patients who were admitted for COVID-19 at Yokohama City University Hospital from August 2021 to March 2022. RESULTS: A total of 141 patients were included in this study. Of these, 91 had moderate COVID-19, whereas 50 had severe COVID-19. There were significant differences in sex, vaccination status, dyspnea, sore throat symptoms, and body mass index (BMI) (p <0.0001, p <0.001, p <0.001, p = 0.02, p< 0.0001, respectively) between the moderate and severe COVID-19 groups. Regarding comorbidities, smoking habit and renal dysfunction were significantly different between the two groups (p = 0.007 and p = 0.01, respectively). Regarding laboratory data, only LDH level on the first day of hospitalization was significantly different between the two groups (p<0.001). Multiple logistic regression analysis revealed that time from the onset of COVID-19 to hospitalization, BMI, smoking habit, and LDH level were significantly different between the two groups (p<0.03, p = 0.039, p = 0.008, p<0.001, respectively). The cut-off value for the time from onset of COVID-19 to hospitalization was four days (sensitivity, 0.73; specificity, 0.70). CONCLUSIONS: Time from the onset of COVID-19 to hospitalization is the most important factor in the prevention of the aggravation of COVID-19 caused by the delta and omicron SARS-CoV-2 variants. Appropriate medical management within four days after the onset of COVID-19 is essential for preventing the progression of COVID-19, especially in patients with smoking habits

    Evaluation of a combination protocol of CT-first triage and active telemedicine methods by a selected team tackling COVID-19: An experimental research study

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    BackgroundMany health care workers around the world tackled with COVID-19, however sadly, the infection of many medical care workers were reported. To reduce the risk of infection, we launched selected team (Team COVID) of non-specialists and brought in active telemedicine method and computed tomography (CT)-first protocol. We describe our actual practice and the health status of medical doctors dealing with COVID-19 patients.MethodsBetween April 17, 2020 and May 24, 2020, 10 doctors worked with COVID-19 patients as part of Team COVID. The Team COVID doctors used a CT-first triage protocol for outpatients and telemedicine for inpatients and outpatients. We evaluated paired serum-specific antibodies for SARS-CoV-2 at the initial and end of the study duration and PCR results for SARS-CoV-2 at the end of the study duration. Furthermore, 36-item short-form of the Medical Outcome Study Questionnaire (SF-36) at the beginning and end of the study period were evaluated.ResultsTen doctors worked as Team COVID: seven internal medicine doctors and three surgeons. During the study period, Team COVID treated 165 individuals in the outpatient clinic and isolated hospitalized patients for 315 person-days. There were no positive results of serum-specific antibody testing and PCR testing for SARS-CoV-2 in Team COVID doctors. Furthermore, the SF-36 showed no deterioration in physical and mental QOL status. No in-hospital infection occurred during the study period.ConclusionsThe Team COVID fulfilled the treatment using the active telemedicine and CT-first triage protocol without in hospital infection and excess stress. The combination strategy seems acceptable for both the protection and stress relief among the medical staff
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