Hossein Akbarialiabad; Hossein Aabdolrahimzadeh fard; Hamid Reza Abbasi; Shahram Bolandparvaz; Shahin Mohseni; Vahid Mehrnoush; Mina Salehi; Sima Roushenas; Shahram Paydar
Volume 8, Issue 3 , July 2020, , Pages 199-201
Abstract
During the past few months, the novel coronavirus 2019 (COVID-19) pandemic has significantly affected medical service provision. In Iran, it has caused around 197,000 inflictions and 9200 deaths up to June 18, 2020. While many departments turned to telehealth in this era, the trauma service should provide ...
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During the past few months, the novel coronavirus 2019 (COVID-19) pandemic has significantly affected medical service provision. In Iran, it has caused around 197,000 inflictions and 9200 deaths up to June 18, 2020. While many departments turned to telehealth in this era, the trauma service should provide non-stop in presence service to the trauma victims. Our trauma center is the largest in the southwest of Iran, with the mean annual admission of 18,500 polytrauma patients. In this center, we designed a safety protocol to mitigate the spread of disease and also have a more robust case finding system, especially among asymptomatic carriers who attend hospitals based on their trauma. In brief, all unstable patients were considered SARS-COV-2 positive and were directed toward the Specialized COVID-19 related ICU. For all stable patients, history, physical examination, CXR, and lab test (Complete Blood Count, Erythrocyte Sedimentation Rate, C-Reactive Protein) were ordered before entering the wards. If there was any suspicion of COVID-19, the stable patient was admitted to the COVID-19 specialized ward. Among all 1805 patients admitted during a ten weeks interval (from January 30, 2020, to April 14, 2020), 84 had a red flag and toward to COVID-19 related wards. Of those, 67 had positive PCR or evidence in CT in favor of the COOVID-19. Moreover, during regular workups, we found that 19 completely asymptomatic trauma victims had typical Chest CT scan findings of COVID-19.
Rebecka Ah; MB BChir; Yang Cao; Hakan Geijer; Kardo Taha; Sahar Pourhossein-Sarmeh; Peep Talving; Olle Ljungqvist; Shahin Mohseni
Volume 7, Issue 3 , July 2019, , Pages 223-231
Abstract
Objective: To evaluate the Portsmouth-Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM) in comparison with other risk factors for mortality including osteopenia as an indicator for frailty in geriatric patients subjected to emergency laparotomy. Methods: ...
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Objective: To evaluate the Portsmouth-Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM) in comparison with other risk factors for mortality including osteopenia as an indicator for frailty in geriatric patients subjected to emergency laparotomy. Methods: All geriatric patients (≥65 years) undergoing emergency laparotomy at a single university hospital between 1/2015 and 12/2016 were included in this cohort study. Demographics and outcomes were retrospectively collected from medical records. Association between prognostic markers and 30-day mortality was assessed using Poisson and backward stepwise regression models. Prognostic value was assessed using receiver operating characteristic (ROC) curves.Results: 209 patients were included with a mean age of 76 ± 7.3 years. American Society of Anesthesiologists (ASA) classification, age, indication and type of surgery, hypotension, transfusion requirement and current malignancy proved to be statistically significant predictors of 30-day mortality. P-POSSUM mortality was statistically significant in the backward stepwise regression (incidence rate ratio=1.58, 95% CI: 1.16–2.15, p=0.004) while osteopenia was not. P-POSSUM had poor prognostic value for 30-day mortality with an area under the ROC curve (AUC) of 0.59. The prognostic value of P-POSSUM improved significantly when adjusting for patient covariates (AUC=0.83).Conclusion: P-POSSUM and osteopenia alone hardly predict 30-day mortality in geriatric patients following emergency laparotomy. P-POSSUM adjusted for other patient covariates improves the prediction.
