[Prehospital Care Times and Interventions for Victims of Major Trauma in the Central Region of Portugal: A Retrospective Study]. / Tempos de Resposta e Intervenções Extra-Hospitalar à Vítima de Trauma Major na Região Centro de Portugal: Um Estudo Retrospetivo.

INTRODUCTION: The quality and promptness of prehospital care for major trauma patients are vital in order to lower their high mortality rate. However, the effectiveness of this response in Portugal is unknown. The objective of this study was to analyze response times and interventions for major trauma patients in the central region of Portugal. METHODS: This was a retrospective, descriptive study, using the 2022 clinical records of the National Institute of Medical Emergency's differentiated resources. Cases of death prior to arrival at the hospital and other non-transport situations were excluded. Five-time intervals were determined, among which are the response time (T1, between activation and arrival at the scene), on-scene time (T2), and transportation time (T5; between the decision to transport and arrival at the emergency service). For each ambulance type, averages and dispersion times were calculated, as well as the proportion of cases in which the nationally and internationally recommended times were met. The frequency of recording six key interventions was also assessed. RESULTS: Of the 3366 records, 602 were eliminated (384 due to death), resulting in 2764 cases: nurse-technician ambulance (SIV) = 36.0%, physician- nurse ambulance (VMER) = 62.2% and physician-nurse helicopter = 1.8%. In a very large number of records, it was not possible to determine prehospital care times: for example, transport time (T5) could be determined in only 29%, 13% and 8% of cases, respectively for SIV, VMER and helicopter. The recommended time for stabilization (T2 ≤ 20 min) was met in 19.8% (SIV), 36.5% (VMER) and 18.2% (helicopter). Time to hospital (T5 ≤ 45 min) was achieved in 80.0% (SIV), 93.1% (VMER) and 75.0% (helicopter) of the records. The administration of analgesia (42% in SIV) and measures to prevent hypothermia (23.5% in SIV) were the most recorded interventions. CONCLUSION: There was substantial missing data on statuses and a lack of information in the records, especially in the VMER and helicopter. According to the records, the time taken to stabilize the victim on-scene often exceeded the recommendations, while the time taken to transport them to the hospital tended to be within the recommendations.

Introdução: A qualidade e rapidez do socorro pré-hospitalar à pessoa vítima de trauma major é vital para diminuir a sua elevada mortalidade. Contudo, desconhece-se a efetividade desta resposta em Portugal. O objetivo deste estudo foi analisar os tempos de resposta e as intervenções realizadas às vítimas de trauma major na região centro de Portugal. Métodos: Estudo retrospetivo, descritivo, utilizando os registos clínicos de 2022 dos meios diferenciados do Instituto Nacional de Emergência Médica. Casos de óbito pré-chegada ao hospital e outras situações de não transporte foram excluídos. Determinaram-se cinco tempos, entre os quais o tempo de resposta (T1, decorrente entre acionamento e chegada ao local), o tempo no local (T2) e o tempo de transporte (T5, intervalo entre a decisão de transporte e a chegada ao serviço de urgência). Foram calculadas médias e medidas de dispersão para cada meio, bem como a proporção de casos em que foram cumpridos os tempos recomendados nacional e internacionalmente. Avaliou-se também a frequência de registo de seis intervenções chave. Resultados: Dos 3366 registos, eliminaram-se 602 (384 por óbito), resultando em 2764 casos [suporte imediato de vida (SIV) = 36,0%, viaturas médicas de emergência e reanimação (VMER) = 62,2%, helicóptero de emergência médica (HEM) = 1,8%]. Num elevado número de registos não foi possível determinar tempos de socorro: por exemplo, o tempo de transporte (T5) foi determinável em apenas 29%, 13%, e 8% dos casos, respetivamente para SIV, VMER e HEM. O tempo recomendado para a estabilização (T2 ≤ 20 min), foi cumprido em 19,8% (SIV), 36,5% (VMER), e 18,2% (HEM) dos regis- tos. Já o tempo de transporte (T5 ≤ 45 min) foi cumprido em 80,0% (SIV), 93,1% (VMER) e 75,0% (HEM) dos registos (avaliáveis). A administração de analgesia (42% na SIV) e as medidas de prevenção de hipotermia (23,5% na SIV) foram as intervenções mais registadas. Conclusão: Observaram-se muitos status omissos e falta de informação nos registos, sobretudo na VMER e HEM. De acordo com os registos, o tempo no local superou frequentemente as recomendações, enquanto o tempo de transporte tende a estar dentro das normas.

Delayed treatment in breast cancer patients during the COVID-19 pandemic: a population health information research infrastructure (PHIRI) case study.

BACKGROUND: The indirect impact of the coronavirus disease 2019 pandemic on healthcare services was studied by assessing changes in the trend of the time to first treatment for women 18 or older who were diagnosed and treated for breast cancer between 2017 and 2021. METHODS: An observational retrospective longitudinal study based on aggregated data from four European Union (EU) countries/regions investigating the time it took to receive breast cancer treatment. We compiled outputs from a federated analysis to detect structural breakpoints, confirming the empirical breakpoints by differences between the trends observed and forecasted after March 2020. Finally, we built several segmented regressions to explore the association of contextual factors with the observed changes in treatment delays. RESULTS: We observed empirical structural breakpoints on the monthly median time to surgery trend in Aragon (ranging from 9.20 to 17.38 days), Marche (from 37.17 to 42.04 days) and Wales (from 28.67 to 35.08 days). On the contrary, no empirical structural breakpoints were observed in Belgium (ranging from 21.25 to 23.95 days) after the pandemic's beginning. Furthermore, we confirmed statistically significant differences between the observed trend and the forecasts for Aragon and Wales. Finally, we found the interaction between the region and the pandemic's start (before/after March 2020) significantly associated with the trend of delayed breast cancer treatment at the population level. CONCLUSIONS: Although they were not clinically relevant, only Aragon and Wales showed significant differences with expected delays after March 2020. However, experiences differed between countries/regions, pointing to structural factors other than the pandemic.

Diagnostic and therapeutic delays in lung cancer during the COVID-19 pandemic: a single center experience at a German Cancer center.

BACKGROUND: The COVID-19 pandemic has had negative drawbacks on the healthcare system worldwide and on individuals other than those directly affected by the virus. Delays in cancer therapy and diagnosis have been reported in the literature. We hypothesized similar effects on patients with lung cancer at our center. METHODS: We retrospectively analyzed data of patients referred to our center with newly diagnosed lung cancer from 2018 to 2022. We considered distribution of UICC Stages and time from case presentation in our multidisciplinary tumor board or from therapeutic indication from treating physician to therapy initiation (surgery, systemic therapies and radiation) to define delays in diagnosis and treatment. RESULTS: 1020 patients with newly diagnosed lung cancer were referred to our center from 2018 to 2022, with a median of 206 cases yearly (range: 200-208). Cases with Stage IV in 2020-2022 were significantly higher than in 2018-2019 (57% vs. 46%, p = 0,001). 228 operative resections took place between 2018 and 2022, 100 from January 2018 to February 2020 and 128 from March 2020 to December 2022. Median time from presentation in our tumor board to resection was also significantly longer after the beginning of the pandemic than before (22 days vs. 15,5 days, p = 0,013). No significant delays were observed for administration of systemic treatment and initiation of radiation. CONCLUSIONS: During the pandemic higher disease stages were reported for patients with lung cancer, yet there were no clinically relevant delays in treatment. In the context of the post-covid era new diagnostic strategies are necessary to facilitate early diagnosis of lung cancer. Despite the pandemic, for patients with suspicious symptoms prompt access to healthcare facilities is essential for early diagnosis.

The impact of hospital presentation time on stroke outcomes: A nationally representative Irish cohort study.

OBJECTIVES: There is conflicting evidence regarding the outcomes of acute stroke patients who present to hospital within normal working hours ('in-hours') compared with the 'out-of-hours' period. This study aimed to assess the effect of time of stroke presentation on outcomes within the Irish context, to inform national stroke service delivery. MATERIALS AND METHODS: A secondary analysis of data from the Irish National Audit of Stroke (INAS) from Jan 2016 to Dec 2019 was carried out. Patient and process outcomes were assessed for patients presenting 'in-hours' (8:00-17:00 Monday-Friday) compared with 'out-of-hours' (all other times). RESULTS: Data on arrival time were available for 13,996 patients (male 56.2%; mean age 72.5 years), of which 55.7% presented 'out-of-hours'. In hospital mortality was significantly lower among those admitted 'in-hours' (11.3%, n = 534) compared with 'out-of-hours' (12.8%, n = 749); (adjusted Odds Ratio (OR) 0.82; 95% Confidence Interval CI [95% CI] 0.72-0.89). Poor functional outcome at discharge (Modified Rankin Scale ≥ 3) was also significantly lower in those presenting 'in-hours' (adjusted OR 0.79; 95% CI 0.68-0.91). In patients receiving thrombolysis, mean door to needle time was shorter for 'in-hours' presentation at 55.8 mins (n = 562; SD 35.43 mins), compared with 'out-of-hours' presentation at 80.5 mins (n = 736; SD 38.55 mins, p < .001). CONCLUSION: More than half of stroke patients in Ireland present 'out-of-hours' and these presentations are associated with a higher mortality and a lower odds of functional independence at discharge. It is imperative that stroke pathways consider the 24 hour period to ensure the delivery of effective stroke care, and modification of 'out-of-hours' stroke care is required to improve overall outcomes.

[Comparison of early operative treatment and 48-hour conservative treatment in small bowel obstruction (COTACSO): intermediate results]. / Promezhutochnye rezul'taty otkrytogo prospektivnogo randomizirovannogo mnogotsentrovogo sravnitel'nogo issledovaniya rannei operatsii i 48-chasovogo neoperativnogo lecheniya spaechnoi kishechnoi neprokhodimosti.

Optimal treatment for adhesive small bowel obstruction (SBO) is not defined. Surgery is the only method of treatment for obvious strangulating SBO. Non-operative management (NOM) is widely used among patients with low risk of strangulation, i.e. no clinical, laboratory and CT signs. Randomized controlled trials (RCTs) are recommended to determine the optimal method (early intervention or NOM), but their safety is unclear due to possible delay in surgery for patients needing early intervention. MATERIAL AND METHODS: A RCT is devoted to outcomes of early operative treatment and NOM for adhesive SBO. The estimated trial capacity is 200 patients. Thirty-two patients were included in interim analysis. In 12 hours after admission, patients without apparent signs of strangulation were randomized into two clinical groups after conservative treatment. Group I included 12 patients who underwent immediate surgery, group II - 20 patients after 48-hour NOM. The primary endpoint was success of non-surgical regression of SBO and reduction in mortality. To evaluate patient safety, we analyzed mortality, complication rates and bowel resection in this RCT with previously published studies. RESULTS: In group I, all 12 (100%) patients underwent surgery. Only 4 (20%) patients required surgery in group II. Mortality, complication rates and bowel resection rates were similar in both groups. Strangulating SBO was found in 8 (25%) patients. Overall mortality was 6.3%, bowel resection rate - 6.3%, iatrogenic perforation occurred in 3 (18.8%) patients. These values did not exceed previous findings. CONCLUSION: Non-operative management within 48 hours prevented surgery in 80% of patients with SBO. Interim analysis found no significant between-group differences in mortality, complication rates and bowel resection rate. Patients had not been exposed to greater danger than other patients with adhesive SBO. The study is ongoing.

Factors Influencing Time to Definitive Care in Hip Fracture Patients in a Rural Health System.

BACKGROUND: Current literature has not adequately addressed factors affecting wait times for hip fracture surgery in the rural setting. OBJECTIVE: This study aims to assess the factors affecting admission, transit, and preoperative wait times that impact the timeliness of hip fracture surgery within a rural health system. METHODS: A single-center retrospective cross-sectional study was conducted in a rural community comprising five community hospitals and two receiving hospitals. A trauma registry study included all hip fracture cases from 2019. Mean, standard deviation, median, and interquartile range were calculated for admission wait times, transit times to the receiving hospitals, and preoperative wait times in hours. Metrics based on means or medians were developed for these wait times. RESULTS: A total of 163 patients met the inclusion criteria. The emergency department wait times before and after admission to the community hospitals were 1 hour and 2.5 hours, respectively. The transit times from the community hospitals, ranging from shorter to farther distances, to receiving hospitals were 40 minutes and 1 hour, respectively. The preoperative wait time for admitted and transferred patients was 12 hours. CONCLUSION: Our study outlines a methodology for establishing wait time metrics that impact surgical timeliness for hip fracture patients within a rural healthcare system. We recommend conducting comparable studies with larger sample sizes across different healthcare systems.

Streamlining lung cancer management in Nova Scotia amid COVID-19: pooled triaging for expedited curative-intent oncologic surgery.

BACKGROUND: The effect of the COVID-19 pandemic on the diagnosis and management of lung cancer in Canada is not fully understood. We sought to quantify the provincial volume of diagnostic imaging, thoracic surgeon referrals, time to surgery after referral, and pathologic staging for curative surgery in the context of the pandemic, as well as explore the effect of a pooled patient model, which was implemented to prioritize surgeries for lung cancer and mitigate the effects of the pandemic. METHODS: We conducted a retrospective cohort study of patients who underwent diagnostic imaging in Nova Scotia and were subsequently referred to a thoracic surgeon at the province's only tertiary care centre for surgical management of their primary lung cancer before (Mar. 1, 2019, to Feb. 29, 2020) and during (Mar. 1, 2020, to Feb. 28, 2021) the COVID-19 pandemic. We conducted a survey to capture the patient and surgeon experience with a pooled patient model of managing surgical oncology cases. RESULTS: Compared with the pre-COVID-19 period, the overall volume of chest radiography and chest computed tomography decreased by 30.9% (p < 0.001) and 18.7% (p = 0.002), respectively, in the COVID-19 period. Thoracic surgeon referrals, operative approach, extent of resection, length of hospital stay, and pathologic staging did not significantly differ. Time from referral to surgery was significantly shorter during the COVID-19 period (mean 196.8 d v. 157.9 d, p = 0.04). A pooled patient approach contributed to positive patient satisfaction. CONCLUSION: The COVID-19 pandemic was associated with reductions in rates of diagnostic imaging and referrals to thoracic surgeons for management of pulmonary cancer. A pooled patient model was used to mitigate the effects of the pandemic on lung cancer management and was positively received by patients. An extended study period is needed to determine the full effect of this redistribution of resources.

Time to surgical management of distal radius fractures: effects on health care utilization and functional outcomes.

BACKGROUND: Distal radius fractures are common injuries. Open reduction and internal fixation with volar locking plates is the most common approach for surgical fixation. This study investigated the association between time to surgery and health care utilization, income, and functional outcomes among patients undergoing open reduction and internal fixation for distal radius fracture. METHODS: We conducted a retrospective review of patients who underwent open reduction and internal fixation for isolated acute distal radius fracture between 2009 and 2019. Time to surgery was grouped as early (≤ 14 d) and delayed (> 14 d). We performed χ2 (or Fisher exact) and Wilcoxon rank sum (or Kruskal-Wallis) tests to provide statistical comparison of time to surgery by health care utilization and functional outcomes. Univariable and multivariable logistic regression analyses were performed to identify factors significantly associated with time to surgery. We included all significant univariables in the multivariable logistic regression model, which identified factors based on significant adjusted odds ratios (95% confidence intervals excluding the null) after we adjusted for confounding variables. RESULTS: We included 106 patients, with 36 (34.0%) in the group receiving early treatment and 70 (66.0%) in the group receiving delayed treatment. Patients in the delayed-treatment group attended significantly more clinic visits and postoperative hand therapy sessions. The group with delayed treatment demonstrated significantly lower degrees of wrist flexion at the first follow-up, but this difference did not persist. Patients with higher estimated income (> $39 405 per annum) had lower odds of delayed surgery than those with lower estimated income (≤ $39 405). CONCLUSION: Delayed time to surgery was associated with greater health care utilization and lower degrees of early wrist flexion. Access to care for lower-income patients warrants further evaluation.

Association between Time to Emergent Surgery and Outcomes in Trauma Patients: A 10-Year Multicenter Study.

Background: Research on the impact of reduced time to emergent surgery in trauma patients has yielded inconsistent results. Therefore, this study investigated the relationship between waiting emergent surgery time (WEST) and outcomes in trauma patients. Methods: This retrospective, multicenter study used data from the Tzu Chi Hospital trauma database. The primary clinical outcomes were in-hospital mortality, intensive care unit (ICU) admission, and prolonged hospital length of stay (LOS) of ≥30 days. Results: A total of 15,164 patients were analyzed. The median WEST was 444 min, with an interquartile range (IQR) of 248-848 min for all patients. Patients who died in the hospital had a shorter median WEST than did those who survived (240 vs. 446 min, p < 0.001). Among the trauma patients with a WEST of <2 h, the median time was 79 min (IQR = 50-100 min). No significant difference in WEST was observed between the survival and mortality groups for patients with a WEST of <120 min (median WEST: 85 vs. 78 min, p < 0.001). Multivariable logistic regression analysis revealed that WEST was not associated with an increased risk of in-hospital mortality (adjusted odds ratio [aOR] = 1.05, 95% confidence interval [CI] = 0.17-6.35 for 30 min ≤ WEST < 60 min; aOR = 1.12, 95% CI = 0.22-5.70 for 60 min ≤ WEST < 90 min; and aOR = 0.60, 95% CI = 0.13-2.74 for WEST ≥ 90 min). Conclusions: Our findings do not support the "golden hour" concept because no association was identified between the time to definitive care and in-hospital mortality, ICU admission, and prolonged hospital stay of ≥30 days.

Comparison of functional and safety outcomes between the extended versus early time window after intravenous thrombolysis and endovascular thrombectomy.

INTRODUCTION: Based on recent trials regarding the early time window, omitting intravenous thrombolysis (IVT) before endovascular thrombectomy (EVT) in eligible patients seems unjustified. Whether this also concerns the extended time window, 4.5 to 9 h from last seen well, is yet unclear. PATIENTS AND METHODS: All consecutive patients treated with IVT, EVT, or IVT plus EVT in the extended time window at Helsinki University Hospital (HUS) between 1/2021 and 12/2022 were compared with matched controls treated in the early time window between 1/2016 and 12/2020. Regression analysis was applied on functional outcome at 90 days, evaluated on modified Rankin Scale (mRS), and on the occurrence of symptomatic intracerebral hemorrhage (sICH), adjusted for potential confounders. RESULTS: Altogether 134 patients and 134 matching controls were included. Functional outcomes did not significantly differ between the extended versus early time window. Among patients with IVT plus EVT, the adjusted odds ratio (aOR) for a favorable outcome shift on mRS was 1.15, 95% confidence interval (CI) 0.54-2.43. Although sICH occurred more frequently (2.2% versus 3.0%) in the extended time window, regression analysis did not show a significant difference, aOR 0.96, 95% CI 0.14-6.87. DISCUSSION AND CONCLUSION: We found no significant differences in the functional or safety outcomes between the extended versus early time window among patients with either IVT, EVT, or IVT plus EVT. There were no signals indicating, that IVT or EVT should be avoided in eligible patients in the extended time window which aligns with the current clinical treatment guidelines of HUS.

Impact of the COVID-19 Pandemic on Thyroid Cancer Surgery.

The COVID-19 pandemic caused major disruptions to healthcare services in 2020, delaying cancer diagnosis and treatment. While early-stage thyroid cancer often progresses slowly, it is crucial to determine whether treatment delays associated with the pandemic have impacted the clinical presentation and management of advanced-stage thyroid cancer. The purpose of our study was to determine the impact of the early COVID-19 pandemic on thyroid cancer presentation and treatment times. Utilizing the National Cancer Database, chi-squared tests and regression analyses were performed to compare patient demographic and clinical characteristics over time for 56,011 patients diagnosed with primary thyroid cancer who were treated at the Commission on Cancer-accredited sites in 2019 and 2020. We found that thyroid cancer diagnoses decreased between 2019 and 2020, with the biggest drop among patients with cT1 disease relative to other T stages. We also found that patients diagnosed with thyroid cancer in 2020 had similar treatment times to patients diagnosed in 2019, as measured by both the time between diagnosis and start of treatment and the time between surgery and start of radioactive iodine therapy. Overall, our study suggests that resources during the pandemic were allocated to patients with advanced thyroid disease, despite a decrease in diagnoses.

Improving door-to-analgesia timing in musculoskeletal injuries in an academic emergency department in India: a quality improvement project.

INTRODUCTION: Pain, more frequently due to musculoskeletal injuries, is a prevalent concern in emergency departments (EDs). Timely analgesic administration is paramount in the acute setting of ED. Despite its importance, many EDs face challenges in pain management and present opportunities for improvement. This initiative aimed to expedite the administration of the first analgesic in patients with musculoskeletal pain in the ED. LOCAL PROBLEM: Observations within our ED revealed that patients with musculoskeletal injuries triaged to yellow or green areas experienced prolonged waiting times, leading to delayed analgesic administration, thereby adversely affecting clinical care and patient satisfaction. SPECIFIC AIM: The aim of our quality improvement (QI) project was to reduce the time to administration of first analgesia by 30% from baseline, in patients with musculoskeletal injuries presenting to our academic ED, in a period of 8 weeks after the baseline phase. METHODS: A multidisciplinary QI team systematically applied Point-of-Care Quality Improvement and Plan-Do-Study-Act (PDSA) cycle methodologies. Process mapping and fishbone analyses identified the challenges in analgesia administration. Targeted interventions were iteratively refined through PDSA cycles. INTERVENTIONS: Interventions such as pain score documentation at triage, fast-tracking of patients with moderate-to-severe pain, resident awareness sessions, a pain management protocol and prescription audits were executed during the PDSA cycles. Successful elements were reinforced and adjustments were made to address the identified challenges. RESULTS: The median door-to-analgesia timing during the baseline phase was 55.5 min (IQR, 25.75-108 min). During the postintervention phase, the median was significantly reduced to 15 min (IQR, 5-37 min), exceeding the anticipated outcomes and indicating a substantial 73% reduction (p value <0.001) from baseline. CONCLUSION: Implementing simple change ideas resulted in a substantial improvement in door-to-analgesia timing within the ED. These findings significantly contribute to ongoing discussions on the optimisation of pain management in emergency care.

Evaluation of geographic variations in appendicectomy outcomes within Western Australia assessing the impact of surgical wait times and rate of negative appendicectomies in both urban and rural locations statewide.

PURPOSE: Surgery wait times after diagnosis of appendicitis are an important factor influencing the success of a patient's treatment. The proposed study will be a quantitative multicenter retrospective cohort design with the primary aim of assessing the difference between appendicectomy wait times between rural and urban hospitals in Western Australia and the effect of this on operative outcomes. Selected outcome measures will be examined by time from initial presentation at an emergency department to the patient being diagnosed and then time of diagnosis to surgery being performed. The secondary aim is to compare rates of negative appendicectomies between hospitals. METHODS: Appendicectomy patients will be identified from operating room register by medical student data collectors; then, each respective hospital's emergency room data collection will subsequently be accessed to complete case report forms based on demographics and clinical findings, pre-operative investigations, and management and follow-up. Case report forms with > 95% completeness will be accepted for pooled analysis. The expected duration of retrospective data collection will be 8 months. This study RGS6483 has received HREC approval by the Royal Perth Hospital HREC Ethics Committee, with a waiver of consent obtained and the HREC was notified of amendments to the protocol made on April 21, 2024. Dissemination of results. Data will be collected and stored online through a secure server running the Research Electronic Data Capture (REDCap) web application. No patient-identifiable data will be entered into the system. Results will subsequently be shared via scientific journal publication and presentation at relevant meetings.

Impact of a Fast Pass on Emergency Department Wait Times for Oncology Patients with Febrile Neutropenia.

This pilot study examined differences in wait times for oncology patients who presented to the emergency department, with or without a Fast Pass, for febrile neutropenia (FN). Inadequate circulating neutrophils create a health risk for FN patients. An increased number of patients are receiving chemotherapy in an outpatient setting and may experience delays when seeking treatment in the emergency department. These delays in treatment may be due to overcrowding, patients who require life-saving medical interventions, and inconsistencies in recognizing febrile neutropenia, where fever may be the only presenting sign. The purpose of this study was to measure the impact on wait times, increasing possible risk of bacterial or viral exposure in the emergency department waiting room, for patients with a potential diagnosis of FN who presented their "Fast Pass" from the hospital cancer center's program upon arrival. Electronic medical records were reviewed over a period of 21 months, comparing wait times in the ED for oncology patients with potential FN before and after implementation of the Fast Pass program at an urban medical center in Hawai'i. Of the 1300 oncology patient chart reviews conducted, 6 patients met the study-defined inclusion criteria pre-Fast Pass and 10 met the study-defined inclusion criteria post-Fast Pass. Influence of the use of a Fast Pass on patient wait times was tested using a multivariate regression adjusted for ED patient volume. There were no differences in overall wait times pre- and post-Fast Pass.

Multi-state Markov model for time to treatment changes for HIV/AIDS patients: a retrospective cohort national datasets, Ethiopia.

BACKGROUND: Virological failure, drug resistance, toxicities, and other issues make it difficult for ART to maintain long-term sustainability. These issues would force a modification in the patient's treatment plan. The aim of this research was to determine whether first-line antiretroviral therapy is durable and to identify the factors that lead to patients on HAART changing their first highly active antiretroviral therapy regimen. METHODS: A retrospective cohort study was conducted from October, 2019-March, 2020 across all regional states including Addis Ababa and Dire Dawa administrative cities. The target population is from all health facilities that have been providing ART service for at least the past 6 months as of October 2019. Multi-stage clustered sampling method was used to select study facilities and participants. Simple random selected ART medical records of patients ever enrolled in ART treatment services. We adopted a multi-state survival modelling (msm) approach assuming each treatment regimen as state. We estimate the transition probability of patients to move from one regimen to another for time to treatment change/switch. We estimated the transition probability, prediction probabilities and length of stay and factor associated with treatment modification of patients to move from one regimen to another. RESULTS: Any of the six therapy combinations (14.4%) altered their treatment at least once during the follow-up period for a variety of reasons. Of the patients, 4,834 (13.26%) changed their treatments just once, while 371 (1.1%) changed it more than once. For 38.6% of the time, a treatment change was undertaken due to toxicity, another infection or comorbidity, or another factor, followed by New drugs were then made accessible and other factors 18.3% of the time, a drug was out of supply; 2.6% of those instances involved pregnancy; and 43.1% involved something else. Highly active anti-retroviral therapy (HAART) combinations TDF + 3TC + NVP, d4T + 3TC + NVP, and TDF + 3TC + EFV were high to treatment alterations in all reasons of treatment modifications, with 29.74%, 26.52%, and 19.52% treatment changes, respectively. Early treatment modification or regime change is one of the treatment combinations that include the d4T medication that creates major concern. The likelihood of staying and moving at the the start of s = 0 and 30-month transitions increased, but the likelihood of staying were declined. For this cohort dataset, the presence of opportunistic disease, low body weight, baseline CD4 count, and baseline TB positive were risk factors for therapy adjustment. CONCLUSION: Given that the current study took into account a national dataset, it provides a solid basis for ART drug status and management. The patient had a higher likelihood of adjusting their treatment at some point during the follow-up period due to drug toxicity, comorbidity, drug not being available, and other factors, according to the prediction probability once more. Baseline TB positivity, low CD4 count, opportunistic disease, and low body weight were risk factors for therapy adjustment in this cohort dataset.

Prehospital time and mortality in pediatric trauma.

PURPOSE: The "Golden Hour" of transportation to a hospital has long been accepted as a central principal of trauma care. However, this has not been studied in pediatric populations. We assessed for non-linearity of the relationship between prehospital time and mortality in pediatric trauma patients, redefining the threshold at which reducing this time led to more favorable outcomes. METHODS: We performed an analysis of the 2017-2018 American College of Surgeons Trauma Quality Improvement Program, including trauma patients age < 18 years. We examined the association between prehospital time and odds of in-hospital mortality using linear, polynomial, and restricted cubic spline (RCS) models, ultimately selecting the non-linear RCS model as the best fit. RESULTS: 60,670 patients were included in the study, of whom 1525 died and 3074 experienced complications. Prolonged prehospital time was associated with lower mortality and fewer complications. Both models demonstrated that mortality risk was lowest at 45-60 min, after which time was no longer associated with reduced probability of mortality. CONCLUSIONS: The demonstration of a non-linear relationship between pre-hospital time and patient mortality is a novel finding. We highlight the need to improve prehospital treatment and access to pediatric trauma centers while aiming for hospital transportation within 45 min.

Influence of Organisational-Level Factors on Delayed Door-to-Balloon Time among Patients with ST-Elevation Myocardial Infarction.

Objectives: This study aimed to estimate the door-to-balloon (DTB) time and determine the organisational-level factors that influence delayed DTB times among patients with ST-elevation myocardial infarction in Oman. Methods: A cross-sectional retrospective study was conducted on all patients who presented to the emergency department at Sultan Qaboos University Hospital and Royal Hospital, Muscat, Oman, and underwent primary percutaneous coronary interventions during 2018-2019. Results: The sample included 426 patients and the median DTB time was 142 minutes. The result of the bivariate logistic regression showed that patients who presented to the emergency department with atypical symptoms were 3 times more likely to have a delayed DTB time, when compared to patients who presented with typical symptoms (odds ratio [OR] = 3.003, 95% confidence interval [CI]: 1.409-6.400; P = 0.004). In addition, patients who presented during off-hours were 2 times more likely to have a delayed DTB time, when compared to patients who presented during regular working hours (OR = 2.291, 95% CI: 1.284-4.087; P = 0.005). Conclusion: To meet the DTB time recommendation, it is important to ensure adequate staffing during both regular and irregular working hours. Results from this study can be used as a baseline for future studies and inform strategies for improving the quality of care.

Association Between Time to Treatment With Endovascular Thrombectomy and Home-Time After Acute Ischemic Stroke.

BACKGROUND AND OBJECTIVES: Home-time is a patient-prioritized stroke outcome that can be derived from administrative data linkages. The effect of faster time-to-treatment with endovascular thrombectomy (EVT) on home-time after acute stroke is unknown. METHODS: We used the Quality Improvement and Clinical Research registry to identify a cohort of patients who received EVT for acute ischemic stroke between 2015 and 2022 in Alberta, Canada. We calculated days at home in the first 90 days after stroke. We used ordinal regression across 6 ordered categories of home-time to evaluate the association between onset-to-arterial puncture and higher home-time, adjusting for age, sex, rural residence, NIH Stroke Scale, comorbidities, intravenous thrombolysis, and year of treatment. We used restricted cubic splines to assess the nonlinear relationship between continuous variation in time metrics and higher home-time, and also reported the adjusted odds ratios within time categories. We additionally evaluated door-to-puncture and reperfusion times. Finally, we analyzed home-time with zero-inflated models to determine the minutes of earlier treatment required to gain 1 day of home-time. RESULTS: We had 1,885 individuals in our final analytic sample. There was a nonlinear increase in home-time with faster treatment when EVT was within 4 hours of stroke onset or 2 hours of hospital arrival. There was a higher odds of achieving more days at home when onset-to-puncture time was <2 hours (adjusted odds ratio 2.36, 95% CI 1.77-3.16) and 2 to <4 hours (1.37, 95% CI 1.11-1.71) compared with ≥6 hours, and when door-to-puncture time was <1 hour (aOR 2.25, 95% CI 1.74-2.90), 1 to <1.5 hours (aOR 1.89, 95% CI 1.47-2.41), and 1.5 to <2 hours (1.35, 95% CI 1.04-1.76) compared with ≥2 hours. Results were consistent for reperfusion times. For every hour of faster treatment within 6 hours of stroke onset, there was an estimated increase in home-time of 4.7 days, meaning that approximately 1 day of home-time was gained for each 12.8 minutes of faster treatment. DISCUSSION: Faster time-to-treatment with EVT for acute stroke was associated with greater home-time, particularly within 4 hours of onset-to-puncture and 2 hours of door-to-puncture time. Within 6 hours of stroke onset, each 13 minutes of faster treatment is associated with a gain of 1 day of home-time.