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Introduction: According to excising findings, if the emergency management system (EMS) operation will be developed, the survival outcome of sepsis patients might improve. This study aimed to evaluate the pre-hospital associated factors of survival in sepsis patients. Methods: This retrospective cohort study was conducted on patients diagnosed with sepsis, coded with the Thailand emergency medical triage protocol and criteria-based dispatch symptom group 17. Information on the 30-day survival rate of patients was obtained from the electronic medical records. Pre-hospital factors associated with 30-day survival were analyzed using univariate and multivariate logistic regression analyses and were reported using odds ratio (OR) with 95% confidence interval (CI). Results: 300 patients diagnosed with sepsis were enrolled. Among them, 232 (77.3%) survived within 30 days. Non-survived cases had significantly older age (p = 0.019), lower oxygen saturations (92.5% vs. 95.0%; p = 0.003), higher heart rate (p = 0.001), higher respiratory rate (p < 0.001), lower level of consciousness (p < 0.001), higher disease severity based on qSOFA score (p = 0.001), and higher need for invasive airway management (p = 0.001) and supplementary oxygen (p = 0.001). The survival rate improved by 3.5% with every 1% increase in pre-hospital oxygen saturation (adjusted OR = 1.035, 95% CI: 1.005-1.066, p = 0.020) and the survival probabilities of patients who responded to voice (adjusted OR = 0.170, 95% CI: 0.050-0.579, p = 0.005), those who responded to pain (adjusted OR = 0.130, 95% CI: 0.036-0.475, p = 0.002), and those who were unresponsive (adjusted OR = 0.086, 95% CI: 0.026-0.278, p-value < 0.001) were lower than patients who were alert. Conclusion: The 30-day survival rate of patients with sepsis managed by the EMS team was 77.3%. Pre-hospital oxygen saturation and level of consciousness were associated with the survival of patients with sepsis who were managed in the pre-hospital setting.
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Introduction: Identifying the predictive factors of sustained return of spontaneous circulation (ROSC) following out-of-hospital cardiac arrest (OHCA) will be helpful in management of these patients. This study aimed to develop a predictive model in this regard. Methods: In a retrospective observational study, data of adult patients with OHCA, were collected from Vajira emergency medical services patient care report. Multiple logistic regression analysis with a regression coefficient was used to develop a predictive score for a sustained ROSC at the scene. Area under the receiver operating characteristic (ROC) curve (AUC) was used to validate the accuracy of the predictive score for a sustained ROSC. Results: Independent factors associated with a sustained ROSC included cardiopulmonary resuscitation (CPR) duration < 30 min (adjusted odds ratio (AOR)= 5.05, 95% confidence interval (CI): 3.34-7.65; p < 0.001); advanced airway management with an endotracheal tube (AOR= 3.06, 95% CI: 1.77-5.31; p < 0.001); advanced airway management with laryngeal mask airway (AOR= 3.42, 95% CI: 1.02-11.46; p = 0.046); defibrillation (AOR = 2.05, 95% CI: 1.31-3.2; p = 0.002); Capillary blood glucose (CBG) level < 150 mg% (AOR= 1.95, 95% CI: 1.05-3.65; p = 0.035); CBG at least 150 mg% (AOR= 2.87, 95% CI: 1.56-5.29; p = 0.001); pupil reflex (AOR = 2.96, 95% CI: 1.1-7.96; p = 0.032); and response time at most 8 min (AOR= 1.66, 95% CI: 1.07-2.57; p = 0.023). These were developed into the pupil reflex, response time, advanced airway management, defibrillation, CBG, and CPR duration (PRAD-CCPR) score. The most accurate cutoff point of score using Youden's index was ≥ 6 with AUC of 0.759 (95% CI: 0.715-0.802; p < 0.001), sensitivity of 62.0% (95% CI: 51.2-71.9%), specificity of 75.7% (95% CI: 69.4-81.2%), positive predictive value of 51.8% (95% CI: 40.9-62.3%), and negative predictive value of 79.5% (95% CI: 73.5-84.6%). Conclusion: An optimal PRAD-CCPR score of ≥ 6 provides an acceptable accuracy of 0.759 with sensitivity of 62.0% and specificity of 75.7% in prediction of sustained ROSC following OHCA. This predictive score might help CPR commanders to prognosticate the outcome of patients with OHCA at the scene.
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BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, the format of patients with out-of-hospital cardiac arrest (OHCA) management was modified. Therefore, this study compared the response time and survival at the scene of patients with OHCA managed by emergency medical services (EMS) before and during the COVID-19 pandemic in Thailand. METHODS: This retrospective, observational study used EMS patient care reports to collect data on adult patients with OHCA coded with cardiac arrest. Before and during the COVID-19 pandemic was defined as the periods of January 1, 2018-December 31, 2019, and January 1, 2020-December 31, 2021, respectively. RESULTS: A total of 513 and 482 patients were treated for OHCA before and during the COVID-19 pandemic, respectively, showing a decrease of 6% (% change difference =- 6.0, 95% confidence interval [CI] - 4.1, - 8.5). However, the average number of patients treated per week did not differ (4.83 ± 2.49 vs. 4.65 ± 2.06; p value = 0.700). While the mean response times did not significantly differ (11.87 ± 6.31 vs. 12.21 ± 6.50 min; p value = 0.400), the mean on-scene and hospital arrival times were significantly higher during the COVID-19 pandemic compared with before by 6.32 min (95% CI 4.36-8.27; p value < 0.001), and 6.88 min (95% CI 4.55-9.22; p value < 0.001), respectively. Multivariable analysis revealed that patients with OHCA had a 2.27 times higher rate of return of spontaneous circulation (ROSC) (adjusted odds ratio = 2.27, 95% CI 1.50-3.42, p value < 0.001), and a 0.84 times lower mortality rate (adjusted odds ratio = 0.84, 95% CI: 0.58-1.22, p value = 0.362) during the COVID-19 pandemic period compared with that before the pandemic. CONCLUSIONS: In the present study, there was no significant difference between the response time of patients with OHCA managed by EMS before and during COVID-19 pandemic period; however, markedly longer on-scene and hospital arrival times and higher ROSC rates were observed during the COVID-19 pandemic than those in the period before the pandemic.
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Introduction: Coronavirus disease 2019 (COVID-19) has directly affected global healthcare, especially the front-line of healthcare provision, including emergency medical services (EMS). The present study aimed to compare EMS processing times and the number of acute stroke patients serviced by EMS before and during COVID-19 pandemic. Methods: This is a retrospective observational review of Bangkok Surgico Medical Ambulance and Rescue Team (S.M.A.R.T.) EMS data from 2018 to 2021. The EMS processing times and the number of acute strokes were compared between pre-COVID-19 era (January 1st, 2018, and December 31st, 2019) and during COVID-19 pandemic (January 1st, 2020, and December 31st, 2021). Results: The number of stroke patients transported by EMS in one year, before and during COVID-19 pandemic was 128 and 150 cases, respectively (Change difference = 17.2%, 95% CI: 11.1-24.9). However, the average number of acute stroke patients per week was not significantly different (p = 0.386). The mean total EMS processing times before and during COVID-19 era were 25.59 ± 11.12 and 45.47 ± 14.61 minutes, respectively (mean difference of 19.88 (95% CI: 16.77-22.99) minutes; p < 0.001). The mean time from symptom onset to EMS arrival (p < 0.001), the mean call time (p < 0.001), the mean response time (p < 0.001), and the mean scene time (p < 0.001) were significantly higher during COVID-19 period. The mean transportation times for stroke patients was similar before and during COVID-19 pandemic (10.14 ± 6.28 and 9.41 ± 6.31 minutes, respectively; p = 0.338). Conclusions: During COVID-19 pandemic, the number of acute stroke patients serviced by EMS increased substantially, but there was no difference in the average number of patients per week. During the pandemic, EMS processing times markedly increased.
