Factors Influencing Time From Diagnosis to Treatment of Breast Cancer and the Impact of Longer Waiting Time on Survival in Kathmandu Valley, Nepal: A Population-Based Study.

PURPOSE: Longer time between breast cancer (BC) diagnosis and treatment initiation is associated with poorer survival, and this may be a factor behind disparities in global survival rates. We assessed time to BC treatment in the Kathmandu Valley, Nepal, including factors associated with longer waiting times and their impact on survival. METHODS: We conducted a retrospective population-based study of BC cases recorded in the Kathmandu Valley Population-Based Cancer Registry between 2018 and 2019. Fieldwork survey through telephone was undertaken to collect additional sociodemographic and clinical information. Logistic regression was performed to identify factors associated with longer time to treatment, and Kaplan-Meier and Cox proportional hazard regression was used to examine survival time and evaluate the association between longer time to treatment and survival. RESULTS: Among the 385 patients with BC, one third waited >4 weeks from diagnosis to initial treatment. Lower education was associated with longer time to treatment (adjusted odds ratio, 1.63 [95% CI, 1.03 to 2.60]). The overall 3-year survival rate was 88.6% and survival was not associated with time to treatment (P = .50). However, advanced stage at diagnosis was associated with poorer survival (adjusted hazard ratio, 4.09 [95% CI, 1.27 to 13.23]). There was some indication that longer time to treatment was associated with poorer survival for advanced-stage patients, but data quality limited that analysis. CONCLUSION: In the Kathmandu Valley, Nepal, women with a lower education tend to wait longer from BC diagnosis to treatment. Patients with advanced-stage BC had poorer survival, and longer waiting time may be associated with poorer survival for women diagnosed with advanced-stage disease.

Time to start disease modifying drugs for adults with seropositive rheumatoid arthritis: results of the first year of the national New Zealand Rheumatology Association (NZRA) audit.

AIM: This audit describes variation in the time from referral to starting disease modifying drug (DMARD) for people with newly diagnosed seropositive rheumatoid arthritis (RA), how frequently this was within the recommended 6 weeks and whether regional, service-level or patient-level factors were associated with this variation. METHOD: Rheumatologists submitted data on new patients with a new diagnosis of rheumatoid factor and/or cyclic-citrullinated peptide antibody positive RA. The association between visit funding, ethnicity, socio-economic deprivation, rurality, local specialist staffing levels and the time to DMARD treatment was assessed using Cox proportional-hazard models. RESULTS: Data were collected on 355 patients over 12 months. Overall, 64.8% of patients commenced DMARD treatment within 6 weeks of referral and this was associated with rheumatologist FTE per 100,000 population (adjusted HR 2.47, 95%CI 1.27-4.81; p=0.008) and the rurality (Geographic Classification of Health [GCH]) of the patient (for R2 compared to U1 adjusted HR 0.20, 95%CI 0.09-0.43; p<0.001). There was no association between time to DMARD and ethnicity or socio-economic deprivation. CONCLUSION: There was significant variation in time to DMARD treatment, mainly related to variation in rheumatologist staffing levels and patient rurality. Rheumatologist staffing levels of 1.0 FTE/100,000 population was associated with 80% of patients meeting the recommended 6-week time to DMARD treatment.

Analysis of the Prognosis Outcomes and Treatment Delay Among ST-Segment Elevation Myocardial Infarction Patients in Emergency Department Based on the Presence of Symptoms Suggestive of COVID-19.

BACKGROUND: During COVID-19 pandemic, the emergency department (ED) was challenged to treat patients with COVID-19-related symptom. Therefore, the aim of this study was to investigate treatment delay and prognostic outcomes in ST-segment elevation myocardial infarction (STEMI) patients during COVID-19 pandemic due to isolation or precaution and compare it with pre-COVID-19 period. METHODS: This was a retrospective observation study using multicenter data with different case mix. Anonymized data were collected through each center's electronic medical data of common case report form. Primary outcomes were number and rate of in-hospital mortality within 28 days. Secondary outcomes were door-to-balloon time and length of stay in the ED. Kaplan-Meier estimation and Cox proportional hazard regression analysis were performed to determine impact of predictors on 28-day in-hospital mortality. RESULTS: Door-to-balloon time was longer in STEMI patients with COVID-19-related symptom(s) than those without symptom during the COVID-19 period (97.0 [74.8, 139.8] vs. 69.0 [55.0, 102.0] minutes, P<.001). However, there was no significant statistical difference in door-to-balloon time between STEMI patients with and without COVID-19-related symptom(s) during the pre-COVID-19 period (73.0 [61.0, 92.0] vs. 67.0 [54.5, 80.0] minutes, P=.2869). The 28-day mortality rate did not show a statistically significant difference depending on symptoms suggestive of COVID-19 during the pre-COVID-19 period (15.4% vs. 6.8%, P=.1257). However, it was significantly higher during the COVID-19 period (21.1% vs. 6.7%, P=.0102) in patients with COVID-19 suggestive symptoms than in patients without the symptoms. CONCLUSION: In Korea, symptoms suggestive of COVID-19 during the pandemic had a significant effect on the increase of door-to-balloon time and 28-day mortality in STEMI patients. Thus, health authorities need to make careful decision in designating symptoms indicated for isolation in ED based on opinions of various medical field experts.

Comprehensive fertility preservation can be offered in a timely manner around gonadotoxic therapy in children and adolescents.

BACKGROUND: Treatment for certain childhood cancers and nonmalignant conditions can lead to future infertility and gonadal failure. The risk of treatment delay must be considered when offering fertility preservation (FP) options. We examined the timeline from FP referral to return to treatment (RTT) in pediatric patients who underwent FP due to iatrogenic risk for infertility. METHODS: A retrospective review was performed of patients with FP consultation due to an increased risk of iatrogenic infertility at Ann & Robert H. Lurie Children's Hospital of Chicago from 2018 to 2022. Data on diagnosis, age, treatment characteristics, and procedure were collected. RESULTS: A total of 337 patients (n = 149 with ovaries, n = 188 with testes) had an FP consultation. Of patients with ovaries, 106 (71.1%) underwent ovarian tissue cryopreservation (OTC), 10 (6.7%) completed ovarian stimulation/egg retrieval (OSER), and 33 (22.1%) declined FP. Of the patients with testes, 98 (52.1%) underwent testicular tissue cryopreservation (TTC), 48 (25.5%) completed sperm banking (SB), and 42 (22.3%) declined FP. Median time from referral to FP consultation was short (ovaries: 2 days, range: 0-6; testes: 1 day, range: 0-5). OSER had a significantly longer RTT versus OTC and no FP (52.5 vs.19.5 vs. 12 days, p = .01). SB had a significantly quicker RTT compared to TTC or no FP (9.0 vs. 21.0 vs. 13.5 days; p = .008). For patients who underwent OTC/TTC and those who declined FP, there was no significant difference in time from consultation to treatment. CONCLUSIONS: It is feasible to promptly offer and complete FP with minimal delay to disease-directed treatment.

Exploring Delays in Cardiac Care Processes Through Electronic Health Records.

Cardiovascular diseases are the leading cause of death globally. Timely health services are fundamental to the appropriate prevention, identification, care and rehabilitation of these diseases. This study aimed to explore the potential of using electronic health records as a data source to help identify health system -related delays in care processes of cardiac patients. This retrospective registry study is based on a sample of electronic health records of 200 cardiac patients admitted to one out of twenty wellbeing services counties in Finland during the years 2021-2022. A total of 426 health system -related delays were identified. All expressions were found in unstructured format and most of these (58.7%) were generated by nurses. These results show that the electronic health records contained a variety of information on health system -related patient care delays, and that most delays were associated with difficulties in finding a bed for the patient in a post-acute care facility (49.8%), but also in-hospital process delays were common (27.7%). These findings show great potential for exploring electronic health record data with natural language processing methods in the future for the development of tools to better identify and monitor different types of delays in care processes. Such tools may support leadership to respond to organisational procedures in need of improvement.

When Every Minute Counts: REBOA Before Surgery Is Independently Associated With a 15-Minute Delay in Time to Definitive Hemorrhage Control.

INTRODUCTION: Resuscitative endovascular balloon occlusion of the aorta (REBOA) is a temporizing hemorrhage control intervention, but its inevitable effect on time to operating room (OR) has not been assessed. The aim of our study is to assess the impact of undergoing REBOA before surgery (RBS) on time to definitive hemorrhage control surgery. METHODS: In this retrospective analysis of 2017-2021 ACS-TQIP database, all adult (≥18 years) patients who underwent emergency hemorrhage control laparotomy (≤4 hours of admission) and received early blood products (≤4 hours) were included, and patients with severe head injury (Head-abbreviated injury score > 2) were excluded. Patients were stratified into those who did (RBS) vs those who did not undergo REBOA before surgery (No-RBS). Primary outcome was time to laparotomy. Secondary outcomes were complications and mortality. Multivariable linear and binary logistic regression analyses were performed to identify the independent associations between RBS and outcomes. RESULTS: A total of 32,683 patients who underwent emergency laparotomy were identified (RBS: 342; No-RBS: 32,341). The mean age was 39 (16) years, 78% were male, mean SBP was 107 (34) mmHg, and the median injury severity score was 21 [14-29]. The median time to emergency hemorrhage control surgery was 50 [32-85] minutes. Overall complication rate was 16% and mortality was 19%. On univariate analysis, RBS group had longer time to surgery (RBS 56 [41-89] vs No-RBS 50 [32-85] minutes, P < 0.001). On multivariable analysis, RBS was independently associated with a longer time to hemorrhage control surgery (ß + 14.5 [95%CI 7.8-21.3], P < 0.001), higher odds of complications (aOR = 1.72, 95%CI = 1.27-2.34, P < 0.001), and mortality (aOR = 3.42, 95%CI = 2.57-4.55, P < 0.001). CONCLUSION: REBOA is independently associated with longer time to OR for hemorrhaging trauma patients with an average delay of 15 minutes. Further research evaluating center-specific REBOA volume and utilization practices, and other pertinent system factors, may help improve both time to REBOA as well as time to definitive hemorrhage control across US trauma centers. LEVEL OF EVIDENCE: III. STUDY TYPE: Epidemiologic.

Appropriate delay of primary tumour radiotherapy may lead to better long-term overall survival for non-small cell lung cancer treated with EGFR-TKIs.

PURPOSE: The most appropriate time of primary tumor radiotherapy in non-small cell lung cancer(NSCLC) with EGFR-TKIs remains unclear. The aim of this study was to investigate the effect of the time factor of primary tumor radiotherapy on long-term overall survival(OS)and provide a theoretical basis for further clinical research. PATIENTS AND METHODS: In total, 238 patients with EGFR-TKIs and OS ≥ 12 months were statistically analysed. Patients were grouped: the D group without primary tumor radiotherapy and the R group with it.The R group were divided into three groups according to the interval between the start of EGFR-TKIs and the start of primary tumor radiotherapy: R0 - 30(<30 days), R30 - PD(≥ 30 days and disease stable), and RPD(radiotherapy after disease progression). The Kaplan-Meier method and log-rank test were used for survival analyses. Exploratory landmark analyses were investigated. RESULTS: The OS rates at 1, 2, 3, 5 years for the R group and D group were 96.8%, 62.9%, 38.3%, 17.1%, and 95.6%, 37.7%, 21.8%, 2.9%, respectively; the corresponding MST was 29 months(95% CI: 24.3-33.7) for the R group and 22 months(95% CI: 20.4-23.6) for the D group (χ2 = 13.480, p<0.001). Multivariate analysis revealed that primary tumor radiotherapy was independent predictors of prolonged OS.Among the four groups, The R30 - PD appeared to have the best OS (D, χ2 = 19.307, p<0.001;R0 - 30, χ2 = 11.687, p = 0.01; RPD, χ2 = 4.086, p = 0.043). Landmark analyses(22 months) showed the R30 - PD group had a significant long-term OS.The incidence of radiation pneumonitis ≥ grade 2 was17.3%(n = 19)and radiation esophagitis ≥ grade 2 was observed in 32 patients(29.1%). CONCLUSIONS: Our results showed that primary tumour radiotherapy may prolong long-term OS with acceptable toxicities. Appropriate delay(R30 - PD)of primary tumour radiotherapy may be the best choice.Premature radiotherapy(R0 - 30) and radiotherapy after disease progression (RPD)may not be reasonable for long-term OS.

Association between time to treatment and outcome in branch retinal vein occlusion.

PURPOSE: To investigate the association between the time from onset to initial treatment and changes in visual acuity or the number of treatments in patients with branch retinal vein occlusion (BVO). DESIGN: Retrospective. METHODS: Thirty-nine eyes of 39 consecutive patients with untreated acute-phase BVO who visited the University of Tokyo Hospital and were followed up for at least one year were included. The patients were initially treated with anti-vascular endothelial growth factor (VEGF) therapy and additional pro re nata therapy within six months of onset. The patients were classified according to the time from disease onset to the first treatment (group A: 28 days or less, group B: over 28 days). RESULTS: The mean (SD) age was 73 ± 8 years, and 19 patients were male. The mean (SD) time to the first treatment was 31.6 ± 17.9 days. The mean (SD) logMAR visual acuity at first treatment was 0.37 ± 0.30. After 12 months of treatment, the mean (SD) logMAR change was - 0.15 ± 0.23, and the mean number (SD) of treatments was 3.1 ± 1.7. No significant association was observed between the timing of treatment initiation and changes in logMAR visual acuity. Patients in group A and central macular thickness at the initial visit were independently associated with the greater number of treatments at one year (p = 0.03 and p = 0.01, respectively). CONCLUSIONS: At one year, the time between onset and the start of anti-VEGF therapy for BVO was not associated with subsequent visual acuity changes. Meanwhile, it may have significant association with the number of treatments.

Physiotherapy Outcomes Are Associated With Shorter Waiting Times, More Treatment Sessions and Younger Age: Analysis of a Clinical Database.

BACKGROUND: Musculoskeletal (MSK) conditions affect over 20.3 million people in the UK, presenting a substantial economic impact on health and social services. Physiotherapy can alleviate MSK conditions, especially if delivered in the acute or sub-acute period. However, patients often present after significant waiting times. OBJECTIVES: Our analysis examined how waiting times and the number of treatments influenced physiotherapy outcomes for MSK conditions. DESIGN: Retrospective analysis of the Data for Impact, Physio First dataset. METHODS: Logistic regression models assessed the effects of symptom duration, treatment frequency, and other variables on pain, Patient-Specific Functional Scores (PSFSs), and Goal Achievement (GA). RESULTS: Analysis of 15,624 patient records showed that patients treated within two weeks of symptom onset were more likely to have favourable outcomes in pain (odds ratio [OR] = 2.01, 95% Confidence Interval [95% CI] = 1.65-2.45), PSFS (OR = 1.80, 95% CI = 1.55-2.08), and GA (OR = 1.74, 95% CI = 1.51-2.01) compared to those treated after longer durations. Receiving four or more treatment sessions significantly improved outcomes compared with only one session (pain: OR = 4.64, PSFS: OR = 5.72, GA: OR = 1.94, all p's < 0.001), with no additional benefits beyond four sessions. Younger age was associated with better outcomes (approximately OR = 0.99 per year age difference). Other findings included better outcomes in males and in those with fewer previous episodes of the condition. CONCLUSIONS: Shorter waiting times, a greater number of treatments, and younger patient age are associated with better physiotherapy outcomes for MSK conditions.

Patients' preferences, experiences and expectations with wait time until surgery in gynaecological oncology: a mixed-methods study in two gynaecological oncological centres in the Netherlands.

OBJECTIVES: Patient-centredness of care during wait time before surgery can be improved. In this study we aimed to assess (1) patients' experiences with and preferences regarding wait time before surgery; (2) the impact of wait time on quality of life (QoL) and (3) which factors influence patients' wait time experience. DESIGN, SETTING, PARTICIPANTS: We performed an exploratory sequential mixed-methods study among women with gynaecological cancer in two tertiary hospitals. We conducted semistructured interviews and identified aspects of QoL and factors that influenced wait time acceptability through thematic analysis. We developed a questionnaire from this thematic analysis which was completed by 97 women. Descriptive statistics and univariate and multivariate regression analyses were performed. RESULTS: Average ideal wait time was 3.5 weeks (±1.7 weeks), minimum and maximum acceptable wait times were 2.2 and 5.6 weeks. Many patients scored above the threshold of the Hospital Anxiety and Depression Scale for anxiety (48%) or depression (34%), had sleeping problems (56%) or experienced pain (54%). A number of factors were more common in patients who indicated that their wait time had been too long: low education level (OR 7.4, 95% CI 0.5 to 5.0, p=0.007), time to surgery >4 weeks (OR 7.0, 95% CI 0.8 to 4.4, p=0.002) and experienced sleep disturbance (OR 3.27, 95% CI 0.0 to 3.1, p=0.05). If patients expectation of wait time was >4 weeks (OR 0.20, 95% CI -4.0 to -0.5 p=0008) or if patients experienced pain (OR 0.26, 95% CI -3.6 to -0.3, p=0.03), they less frequently indicated that wait time had been too long. CONCLUSION: To improve patient-centredness of care, healthcare providers should aim to reduce wait time to 3-4 weeks and ensure that patients are well informed about the length of wait time and are aware of high levels of anxiety, depression and pain during this time. Future studies should evaluate what interventions can improve QoL during wait time.

Optimal Revascularization Timing of Coronary Artery Bypass Grafting in Acute Myocardial Infarction.

INTRODUCTION: Acute myocardial infarction (AMI) is a major global health concern. However, the optimum timing of coronary artery bypass grafting (CABG) in AMI patients remains controversial. This study investigated the optimal timing of CABG and its impact on postoperative outcomes. We hypothesized that determining the optimal timing of CABG could positively impact postoperative outcomes. METHODS: We conducted a nationwide retrospective analysis of the National Health Insurance Service of Korea database, focusing on 1 705 843 adult AMI patients diagnosed between 2007 and 2018 who underwent CABG within 1 year of diagnosis. Patients were categorized based on CABG timing. Primary endpoints included cohort identification and the time interval from AMI diagnosis to CABG. Secondary endpoints encompassed major adverse cardiac and cerebrovascular events (MACCEs) and the impact of postoperative medications. RESULTS: Of the patients, 20 172 underwent CABG. Surgery within 24 h of AMI diagnosis demonstrated the most favorable outcomes, reducing cardiac death, myocardial infarction recurrence, and target vessel revascularization. Delayed CABG within 3 days also outperformed surgery within 1-2 days post-AMI. Additionally, postoperative aspirin use was associated with improved MACCE outcomes. CONCLUSION: CABG within 24 h of AMI diagnosis was associated with significantly minimized myocardial injury, emphasizing the critical role of rapid revascularization. Delayed CABG within 3 days related to better outcomes compared with that of surgery within 1-2 days. These findings provide evidence-based recommendations for optimizing CABG timing in AMI patients, consequentially reducing morbidity and mortality.

Effect of cancer waiting time standards in the English National Health Service: a threshold analysis.

BACKGROUND: The English National Health Service has multiple waiting time standards relating to cancer diagnosis and treatment. Targets can have unintended effects, such as prioritisation based on targets instead of clinical need. In this case, a `threshold effect' will appear as a spike in hospitals just meeting the target. METHODS: We conducted a retrospective study of publicly available cancer waiting time data, including a 2-week wait for a specialist appointment, a 31-day decision to first treatment and a 62-day referral to treatment standard that attracted a financial penalty. We examined the performance of hospital trusts against these targets by financial year to look for threshold effects, using Cattaneo et al. manipulation density test. RESULTS: Trust performance against cancer waiting targets declined over time, and this trend accelerated since the start of the Covid-19 pandemic. Statistical evidence of a threshold effect for the 2-week and 31-day standard was only present in a few years. However, there was strong statistical evidence of a threshold effect for the 62-day standard across all financial years (p < 0.01). CONCLUSION: The data suggests that the effect of threshold targets alters hospital behaviour at target levels but does not do so equally for all standards. Evidence of threshold effects for the 62-day standard was particularly strong, possibly due to some combination of a smaller volume of eligible patients, a larger penalty, multiple waypoints where hospitals can intervene, baseline performance against the target and where the target is set (i.e. how much headroom is available). RCTs of the use of threshold targets and of different designs for such targets in the future would be extremely informative.

Disparities in time to treatment with oral antimyeloma medications.

This retrospective cohort study used Taussig Cancer Center's Myeloma Patient Registry to identify adults with multiple myeloma diagnosed between January 2017-December 2021. Electronic health records data captured time from diagnosis to initial prescription fill for oral antimyeloma medications and initiation of facility administered or oral antimyeloma treatment. We identified 720 patients with a mean age at diagnosis of 67 years ±11; 55% were male, 77% White, 22% Black, 1% other races, covered by private insurance (36%), traditional Medicare (29%), Medicare Advantage (25%), and Medicaid (8.3%). Over a third of patients (37%) resided in an area in the most disadvantaged area deprivation index (ADI) quartile. The median available follow-up was 765 days. Seventy-five percent of the cohort filled an oral antimyeloma medication prescription (excluding corticosteroids), with a median time to fill of 28 days (IQR, 15-61). In the multivariable Cox regression model, Black race (vs. White, adjusted hazard ratio [aHR], 0.61, 95% CI, 0.42-0.87), older age at diagnosis (aHR per 1 year, 0.97, 95% CI, 0.95-0.98), diagnosis during an inpatient admission (aHR, 0.63, 95% CI, 0.43-0.92), and estimated glomerular filtration rate ≤29 ml/min/1.73 m2 (vs. ≥60, aHR, 0.46, 95% CI, 0.29-0.73) were negatively associated with prescription fill for oral antimyeloma medication at 30 days, while insurance type and ADI were not significant predictors.

Chemotherapy delays among cancer patients in Iran during COVID-19 pandemic.

BACKGROUND AND OBJECTIVES: Following the outbreak of COVID-19, a set of restrictions, health advice, and limitations were put in place to reduce the spread of the virus. These restrictions, together with fear and anxiety of the population, limited people's access to public services such as health care services. Cancer patients during this era are a significant concern due to being at high risk for COVID-19 infection and also being exposed to delays in their diagnosis, treatment, and follow-ups. Delays in the treatment of cancer could lead to a poorer prognosis. In this study, we attempted to determine the magnitude of delays in chemotherapy and factors associated with delays during the COVID-19 pandemic. METHOD: All patients diagnosed with colorectal, lung, gastric cancer, and lymphoma who had chemotherapy at teaching hospitals of Iran University of Medical Sciences (IUMS) between February 20, 2020, and March 20, 2022, were included. Age, gender, cancer type, having metastatic cancer, and date of each chemotherapy session were included for each patient individually. Every session with delays longer than two days was recorded. A three to six-day delay was considered a moderate delay, and a seven-day or longer delay was considered a severe delay in receiving each chemotherapy session. Additionally, each patient's total number of delays in the entire course was calculated. Logistic regression was used to examine the impact of pandemic waves on delays. On the other hand, Poisson regression was used to evaluate the number of delays in the entire course of chemotherapy. RESULTS: The research findings indicated an association between the male gender and having metastasis with a higher likelihood of a moderate delay in the treatment regimen. Regarding cancer type, colorectal cancer was associated with higher rates of moderate delays (IRR = 1.88, P < 0.001), but gastric (IRR = 0.75, P = 0.001) and lung cancer (IRR = 0.59, P = 0.002) were associated with reduced rates of severe and moderate delays, respectively. Compared to the COVID-19 pandemic plateau periods, the first (OR = 2.08, P < 0.001), third, and fifth waves of the pandemic were associated with increased delays. CONCLUSION: We found an association between the male gender, colorectal cancer, metastatic disease and higher rates of moderate delays. The initial COVID-19 pandemic wave was associated with increased severe delays in the chemotherapy course. According to the findings of this study, male cancer patients and those with metastatic cancer are at risk of poorer prognosis due to lower adherence to treatment. These findings can assist policymakers in developing targeted strategies to lessen the delay rates in the more vulnerable population.

The impact of admission modes on the treatment outcome and in-hospital mortality rate of STEMI patients undergoing PPCI.

The current research on ST elevation myocardial infarction (STEMI) patients has been mostly limited to Door-to-Balloon (D-to-B) time. This study aimed to compare the effects of different hospital admission modes to on the time metrics of patients undergoing primary percutaneous coronary intervention (PPCI). It also examined the effects of these modes on in-hospital mortality and other influencing factors. The goal was to prompt healthcare facilities at all levels, including chest hospitals, the Centers for Disease Control and Prevention (CDC), and communities to take measures to enhance the treatment outcomes for patients with STEMI. A total of 1053 cases of STEMI patients admitted to Tianjin Chest Hospital from December 2016 to December 2023 and successfully underwent PPCI were selected for this study. They were divided into three groups based on the admission modes: the ambulances group (363 cases), the self-presentation group (305 cases), and the transferred group (385 cases). Multivariate logistic regression was used to explore the impact of different modes of hospital admission on the standard-reaching rate of key treatment time metrics. The results showed that the S-to-FMC time of transferred patients (OR = 0.434, 95% CI 0.316-0.596, P < 0.001) and self-presentation patients (OR = 0.489, 95% CI 0.363-0.659, P < 0.001) were more likely to exceed the standard than that of ambulance patients; The cath lab pre-activation time of self-presented patients was also less likely to meet the standard than that of ambulance patients (OR = 0.695, 95% CI 0.499-0.967, P = 0.031); D-to-W time of self-presentation patients was less likely to reach the standard than that of ambulance patients (OR = 0.323, 95% CI 0.234-0.446, P < 0.001);However, the FMC-to-ECG time of self-presentation patients was more likely to reach the standard than that of ambulance patients (OR = 2.601, 95% CI 1.326-5.100, P = 0.005). The Cox proportional hazards model analysis revealed that for ambulance patients, the time spent at each key treatment time point is shorter, leading to lower in-hospital mortality rate (HR0.512, 95% CI 0.302-0.868, P = 0.013) compared to patients admitted by other means. We found that direct arrival of STEMI patients to the PCI hospital via ambulance at the onset of the disease significantly reduces the S-to-FMC time, FMC-to-ECG time, D-to-W time, and catheterization room activation time compared to patients who self-present. This admission mode enhances the likelihood of meeting the benchmark standards for each time metric, consequently enhancing patient outcomes.

Effect of Early Versus Delayed Tracheostomy Strategy on Functional Outcome of Patients With Severe Traumatic Brain Injury: A Target Trial Emulation.

OBJECTIVES: Optimal timing of tracheostomy in severe traumatic brain injury (TBI) is unknown due to lack of clinical trials. We emulated a target trial to estimate the effect of early vs. delayed tracheostomy strategy on functional outcome of patients with severe TBI. DESIGN: Target trial emulation using 1:1 balanced risk-set matching. SETTING: North American hospitals participating in the TBI Hypertonic Saline randomized controlled trial of the Resuscitation Outcomes Consortium. PATIENTS: The prematching population consisted of patients with TBI and admission Glasgow Coma Scale less than or equal to 8, who were alive and on mechanical ventilation on the fourth day following trial enrollment, and stayed in the ICU for at least 5 days. Patients with absolute indication for tracheostomy and patients who died during the first 28 days with a decision to withdraw care were excluded. INTERVENTIONS: We matched patients who received tracheostomy at a certain timepoint (early group) with patients who had not received tracheostomy at the same timepoint but were at-risk of tracheostomy in the future (delayed group). The primary outcome was a poor 6-month functional outcome, defined as Glasgow Outcome Scale-Extended less than or equal to 4. MEASUREMENTS AND MAIN RESULTS: Out of 1282 patients available for analysis, 275 comprised the prematching population, with 75 pairs being created postmatching. Median time of tracheostomy differed significantly in the early vs. the delayed group (7.0 d [6.0-10.0 d] vs. 12.0 d [9.8-18.3 d]; p < 0.001). Only 40% of patients in the delayed group received tracheostomy. There was no statistically significant difference between groups regarding poor 6-month functional outcome (early: 68.0% vs. delayed: 72.0%; p = 0.593). CONCLUSIONS: In a target trial emulation, early as opposed to delayed tracheostomy strategy was not associated with differences in 6-month functional outcome following severe TBI. Considering the limitations of target trial emulations, delaying tracheostomy through a "watchful waiting" approach may be appropriate.

Factors associated with thirty-day mortality and intensive care unit admission in patients undergoing hip fracture surgery.

BACKGROUND: Various factors contribute to the development of mortality and morbidity in hip fracture surgeries. This study aims to investigate the effects of modifiable factors such as the type of anesthesia, anesthesia management, surgical method, and timing of surgery on 30-day mortality rates, intensive care unit admissions, and complications. METHODS: A total of 400 patients who underwent hip fracture surgery between January 2021 and December 2023 at a Training and Research Hospital were retrospectively analyzed. Patients were divided into two groups: those followed in the ward, named Group 1 (n=304), and those in the intensive care unit, named Group 2 (n=96). Recorded data included demographic characteristics, American Society of Anesthesiologists (ASA) physical status scores, types of comorbidities, anesthesia type, surgical method, surgical delay time, duration of surgery, blood transfusion requirements, and complications. RESULTS: Patients in Group 2 had higher mean age, comorbidity, and mortality rates compared to Group 1 (p<0.001). In terms of types of comorbidities, the rate of intensive care unit admission was higher in patients with coronary artery disease and chronic renal failure (p<0.001). Mean surgical delay and length of hospital stay were also higher in Group 2 (p<0.001). In multivariate logistic regression analysis, age (p<0.001, Odds Ratio [OR]=1.91, Confidence Interval [CI]=1.046-1.137), ASA score (p<0.001, OR=3.872, CI=1.913-7.838), duration of surgical delay (p<0.001, OR=2.029, CI=1.365-3.017), surgical method (p=0.003, OR=2.003, C=1.258-3.188), and length of hospital stay (p=0.006, OR=1.147, CI=1.04-1.266) were determined as predictive factors for 30-day mortality. CONCLUSION: This study found that age, ASA classification, length of hospital stay, surgical method, and surgical delay were predictive factors for both morbidity and mortality. Among these, surgical delay time appears to be a modifiable parameter when all factors are considered.

Examining inequities associated with incarceration among breast cancer patients.

INTRODUCTION: Breast cancer treatment patterns and quality of care among patients experiencing incarceration are underexplored. This study examined associations between incarceration and breast cancer disease and treatment characteristics. METHODS: This retrospective analysis was conducted at a tertiary center in the Southeastern United States that serves as the state's safety-net hospital and primary referral site for the state's prisons. All patients ≥18 years diagnosed with breast cancer between 4/14/2014-12/30/2020 were included. Incarceration status was determined through electronic health record review. Linear regression was used to estimate the association of incarceration with time to treatment. Unadjusted overall survival (OS) was estimated using the Kaplan-Meier method with log-rank tests to compare groups. RESULTS: Of the 4329 patients included, 30 (0.7%) were incarcerated at the time of diagnosis or treatment (DI) and 4299 (99.3%) had no incarceration history (NI). Compared to patients who were NI, patients who were DI were younger (p < 0.001), more likely to be unmarried (p < 0.001), and more likely to have family history of breast cancer (p = 0.02). Patients who were DI had an increased time from diagnosis to neoadjuvant chemotherapy (+47.2 days on average, 95% CI 3.9-90.5, p = 0.03) and from diagnosis to surgery (+20 days on average, 95% CI 6.5-33.5, p = 0.02) compared to NI patients. No difference in OS was observed (log-rank p = 0.70). CONCLUSIONS: Patients who are incarcerated experienced significant delays in breast cancer care. While no differences in mortality were appreciated, these findings are concerning, as they indicate poorer care coordination for patients who are incarcerated. Further research is necessary to understand the full scope of these disparities and elucidate factors that contribute to them.