Did the COVID-19 pandemic delay treatment for localized breast cancer patients? A multicenter study.

BACKGROUND: Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level. OBJECTIVE: To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic. METHODS: We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic. RESULTS: Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic. CONCLUSION: We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.

Impact of COVID-19 on the time to counseling and treatment of prostate cancer.

PURPOSE: This study investigates how the COVID-19 pandemic (CP) impacted the timeline between initial diagnosis (ID) of prostate carcinoma and subsequent therapy consultation (TC) or radical prostatectomy (RP) due to the implementation of a "minimal contact concept," which postponed clinical examinations until the day of admission. METHODS: We analyzed patient data from a tertiary care center from 2018 to September 2021. The focus was on comparing the time intervals from ID to TC and from ID to RP before and during the CP. RESULTS: Of 12,255 patients, 6,073 (61.6%) were treated before and 3,791 (38.4%) during the CP. The median time from ID to TC reduced from 37 days (IQR: 21 - 58d) pre-CP to 32 days (IQR: 20 - 50d) during CP (p < 0.001). Similarly, the time from ID to RP decreased from 98 days (IQR: 70 - 141d) to 75 days (IQR: 55 - 108d; p < 0.001) during the CP. There was a significant decrease in low-risk tumor cases at ID (18.9% vs. 21.4%; p = 0.003) and post-RP (4% vs. 6.7%; p < 0.001) during the CP. CONCLUSION: Our findings suggest that the COVID-19 pandemic facilitated more timely treatment of prostate cancer, suggesting potential benefits for both low-risk and aggressive tumor management through expedited clinical procedures.

Spatiotemporal Distribution, Time to Treatment Outcome Clustering and Determinants of Esophageal Cancer in Ethiopia, a Scoping Study.

INTRODUCTION: Esophageal cancer was the eighth and sixth leading cause of morbidity of all cancers in the world, and the 15th and 12th in Ethiopia, respectively. There is a lack of comprehensive data regarding Ethiopia's esophageal cancer hotspot, treatment outcome clustering, and other factors. OBJECTIVE: This scoping review was designed to understand the extent and type of existing evidence regarding spatiotemporal distribution, time to treatment outcome clustering, and determinants of esophageal cancer in Ethiopia up to March 28, 2023. METHODS: Three-step search strategies were employed for the scoping review from March 15 to 28, 2023. Targeted databases included PubMed/Medline, PubMed Central (PMC), Google Scholar, Hinari, and Cochrane for published studies and different websites for unpublished studies for evidence synthesis. Data were extracted using the Joanna Briggs Institute (JBI) manual format. RESULTS: Our final analysis comprised 17 (16 quantitative and 1 qualitative) studies. Three studies attempted to depict the country's temporal distribution, whereas 12 studies showed the spatial distribution of esophageal cancer by proportion. The regional state of Oromia recorded a high percentage of cases. Numerous risk factors linked to the tumor have been identified in 8 investigations. Similarly, 5 studies went into detail regarding the likelihood of survival and the factors that contribute to malignancy, while 2 studies covered the results of disease-related treatments. CONCLUSIONS: The substantial body of data that underpins this finding supports the fact that esophageal cancer has several risk factors and that its prevalence varies greatly across the country and among regions. Surgery, radiotherapy, or chemotherapy helped the patient live longer. However, no research has investigated which treatment is best for boosting patient survival and survival clustering. Therefore, research with robust models for regional distribution, clustering of time to treatment outcomes, and drivers of esophageal cancer will be needed.

The review was based on 17 studies searched from five electronic databases, and six additional sources. Esophageal cancer incidence varies across the nation (from region to region). The median survival time of esophageal cancer cases were four months, and six months. No study investigated the better treatment that improved the survival of patients with esophageal cancer. A contradicting report were found about the link b/n khat chewing and esophageal cancer. The temporal distribution of the tumor was controversial.

Increasing access to cataract surgery in Counties Manukau by optimising the clinical pathway: a quality improvement report.

AIM: To streamline the cataract surgery pathway to improve the time from first specialist assessment (FSA) to surgery, while reducing the clinical priority assessment criteria (CPAC) score from 55 to 50. METHOD: A quality improvement project using Lean Six Sigma tools and the Model for Improvement. Most data were collected from the i.Patient Manager (iPM) system and analysed using statistical process control charts. Change interventions included combining FSA and pre-admission clinics (PAC); post-operative telephone review by non senior medical officers (SMO); and using our own surgeons in private theatres. RESULTS: The standard cataract pathway was reduced from 5 to 3 appointments. This removed 1,514 hours of appointments, released 113 SMO hours and saved patients NZ$156,000 in indirect costs over a year. The average waiting time from FSA to surgery decreased from 90 to 77 days (-13.5%). The number of overdue patients reduced from 127 to 44 (-35%). The average number of patients on the FSA waiting list dropped from 322 to 205 (-40%). There was no change to the proportions of surgeries or appointment attendance rates by ethnicity. Average monthly cataract surgeries increased from 192 to 215 (+12%), and the CPAC score threshold was decreased to 50 in February 2021. CONCLUSION: Despite significant demand pressures, and the disruptions of COVID-19, we were able to reduce the CPAC score for accessing cataract surgery by optimising the clinical pathway to better utilise staff capacity and maximise value for patients.

Waiting Times in Prostate Cancer Diagnosis and Treatment: A Ten-Year Experience in A Nigerian Teaching Hospital.

INTRODUCTION: Prostate cancer is still the leading male cancer and the leading cause of cancer deaths in Nigeria, and other low- and middle-income countries (LMIC) in Sub-Saharan Africa. Early diagnosis is essential to ensuring prompt treatment and reducing morbidity and mortality. Reducing the waiting times for diagnosis and treatment is therefore important. AIMS AND OBJECTIVES: To study prostate cancer management waiting times, to serve as a baseline in improving the quality of cancer care in the Nigerian populace. PATIENTS AND METHODS: This was a ten-year retrospective study of waiting times of all histologically-confirmed prostate cancer patients seen at Alex-Ekwueme Federal Teaching Hospital, Abakaliki, Ebonyi State, Nigeria. Statistical analysis was done SPSS version 26. A P-value less than 0.05 was considered statistically significant. RESULTS: however, 73 patients with complete data were analysed. The mean age of the patients was 71.48±8.16 years. The median duration of symptoms before presentation was 6 months. The mean total prostate-specific antigen was 82.08±54.9ng/mL. The mean duration between the first visit to the definitive diagnosis was 6.53±11.68 months with a median of 1 month. The median duration from visit to treatment was 3 months with a mean of 9.71±13.4 months. There were no associations between occupation, highest educational level, financial constraints, and the different waiting times studied (P>0.05). CONCLUSION: The waiting times for prostate cancer management were unduly prolonged in this study; patient-related factors did not influence this wait. INTRODUCTION: Le cancer de la prostate est toujours le principal cancer chez les hommes et la principale cause de décès par cancer au Nigéria et dans d'autres pays à revenu faible et intermédiaire (PFR) en Afrique subsaharienne. Un diagnostic précoce est essentiel pour garantir un traitement rapide et réduire la morbidité et la mortalité. Il est donc important de réduire les délais d'attente pour le diagnostic et le traitement. OBJECTIFS: Étudier les délais d'attente dans la prise en charge du cancer de la prostate, afin de servir de référence pour améliorer la qualité des soins contre le cancer dans la population nigériane. PATIENTS ET MÉTHODES: Il s'agit d'une étude rétrospective de dix ans sur les délais d'attente de tous les patients atteints de cancer de la prostate confirmé histologiquement et traités à l'hôpital universitaire fédéral Alex-Ekwueme, à Abakaliki, dans l'État d'Ebonyi, au Nigéria. L'analyse statistique a été réalisée avec la version 26 du logiciel SPSS. Une valeur de P inférieure à 0,05 a été considérée comme statistiquement significative. RÉSULTATS: Un total de 189 patients ont présenté un cancer de la prostate ; cependant, seuls les 73 patients avec des données complètes ont été analysés. L'âge moyen des patients était de 71,48±8,16 ans. La durée médiane des symptômes avant la présentation était de 6 mois. La concentration moyenne d'antigène spécifique de la prostate (PSA) total était de 82,08±54,9 ng/mL. La durée moyenne entre la première visite et le diagnostic définitif était de 6,53±11,68 mois, avec une médiane de 1(1) mois. La durée médiane entre la visite et le traitement était de 3 mois, avec une moyenne de 9,71±13,4 mois. Aucune association n'a été observée entre l'occupation, le plus haut niveau d'éducation, les contraintes financières et les différents délais d'attente étudiés (P>0,05). CONCLUSION: Les délais d'attente pour la prise en charge du cancer de la prostate étaient anormalement prolongés dans cette étude ; les facteurs liés au patient n'ont pas influencé cette attente. MOTS-CLÉS: Cancer de la prostate, Délai d'attente, Délai, Diagnostic, Traitement.

Tuberculosis treatment delay and associated factors among pulmonary tuberculosis patients at public health facilities in Dale District and Yirgalem Town administration, Sidama Region, South Ethiopia.

BACKGROUND: Tuberculosis (TB) treatment delay is one of the major challenges of TB care in many low-income countries. Such cases may contribute to an increased TB transmission and severity of illness. The aim of this study was to determine the magnitude of patient delay in TB treatment, and associated factors in Dale District and Yirgalem Town administration of Sidama Region, Southern Ethiopia. METHODS: Between January 1-Augst 30/ 2022, we studied randomly selected 393 pulmonary TB cases on Directly Observed Treatment Short course (DOTS) in Dale District and Yirgalem Town Administration. After conducting a pretest, we interviewed participants on sociodemographic, health seeking behavior and clinical factors and reviewed the TB registry. Trained enumerators interviewed to collect data. We entered data in to EPI-info 7 version 3.5.4 and then exported to the Statistical Package for Social Science (SPSS) version 23 for analysis. Multivariable logistic regression was used to identify associated factors of TB and statistical significance was defined using the 95% confidence interval. RESULT: A total of 393 (98%) participants involved in the study. The magnitude of delay in TB treatment among the study participants was 223 (56.7%) (95% CI (51.8 - 61.6%)). Distance of the health facility from home, (adjusted odds ratio (AOR) = 2.04, 95% CI (1.3, 3.2)), seeking antibiotic treatment before being diagnosed for TB (AOR = 2.1, 95% CI (1.3, 3.5)) and the knowledge of TB prevention and treatments (AOR = 5.9, 95% CI (3.6, 9.8)), were factors associated with delay in TB treatment. CONCLUSION: The prevalence of TB treatment delay among pulmonary TB patients in the study setting was high. Delay in TB treatment was associated with knowledge, behavioral and accessibility related factors. Providing health education and active case finding of TB would help in minimizing the delay.

The Effect of Pandemic on Lung Cancer Waiting Time - Tertiary Center Experience.

BACKGROUND: Early diagnosis and treatment of lung cancer are crucial to improve the survival and the outcomes in patients who are diagnosed with lung cancer. Many factors can affect the waiting time for lung cancer treatment, however, the corona virus disease 2019 (COVID-19) was one of the major factors that universally slowed down clinical activities in the last three years. We are aiming with this study to demonstrate how this pandemic and other factors affected the lung cancer waiting times for diagnosis and treatment. METHODS: This is a retrospective study including 670 patients who were diagnosed with lung cancer within the NHS Lothian region of Edinburgh - Scotland between March 2019 and November 2023. One hundred patients underwent curative lung resection. Patients were categorised into three groups for sub analysis. The first group included patients diagnosed before the COVID-19 pandemic, the second group included patients diagnosed during the pandemic in 2020, and the third group represents those diagnosed after the mass vaccination program was established and until November 2023. RESULTS: The average waiting time between the referral from the GP to the date of surgery in the three groups was 88.5 days, 81 days, and 83.5 days, respectively. On the other hand, the waiting times elapsing between the first surgical clinic appointment and the date of the surgery itself were 17.6 days, 18.6 days, and 21.5 days, respectively. CONCLUSION: Unexpectedly waiting times elapsing between the referral to surgery and the date of surgery amongst lung cancer patients showed improvement during the COVID-19 pandemic. This is likely due to prioritizing cancer patients. Nevertheless, actions should be considered to decrease the waiting times in general.

Prompt antimicrobial therapy and source control on survival and defervescence of adults with bacteraemia in the emergency department: the faster, the better.

BACKGROUND: Bacteraemia is a critical condition that generally leads to substantial morbidity and mortality. It is unclear whether delayed antimicrobial therapy (and/or source control) has a prognostic or defervescence effect on patients with source-control-required (ScR) or unrequired (ScU) bacteraemia. METHODS: The multicenter cohort included treatment-naïve adults with bacteraemia in the emergency department. Clinical information was retrospectively obtained and etiologic pathogens were prospectively restored to accurately determine the time-to-appropriate antibiotic (TtAa). The association between TtAa or time-to-source control (TtSc, for ScR bacteraemia) and 30-day crude mortality or delayed defervescence were respectively studied by adjusting independent determinants of mortality or delayed defervescence, recognised by a logistic regression model. RESULTS: Of the total 5477 patients, each hour of TtAa delay was associated with an average increase of 0.2% (adjusted odds ratio [AOR], 1.002; P < 0.001) and 0.3% (AOR 1.003; P < 0.001) in mortality rates for patients having ScU (3953 patients) and ScR (1524) bacteraemia, respectively. Notably, these AORs were augmented to 0.4% and 0.5% for critically ill individuals. For patients experiencing ScR bacteraemia, each hour of TtSc delay was significantly associated with an average increase of 0.31% and 0.33% in mortality rates for overall and critically ill individuals, respectively. For febrile patients, each additional hour of TtAa was significantly associated with an average 0.2% and 0.3% increase in the proportion of delayed defervescence for ScU (3085 patients) and ScR (1266) bacteraemia, respectively, and 0.5% and 0.9% for critically ill individuals. For 1266 febrile patients with ScR bacteraemia, each hour of TtSc delay respectively was significantly associated with an average increase of 0.3% and 0.4% in mortality rates for the overall population and those with critical illness. CONCLUSIONS: Regardless of the need for source control in cases of bacteraemia, there seems to be a significant association between the prompt administration of appropriate antimicrobials and both a favourable prognosis and rapid defervescence, particularly among critically ill patients. For ScR bacteraemia, delayed source control has been identified as a determinant of unfavourable prognosis and delayed defervescence. Moreover, this association with patient survival and the speed of defervescence appears to be augmented among critically ill patients.

Abortion Provision and Delays to Care in a Clinic Network in Washington State After Dobbs.

Importance: The Supreme Court decision Dobbs v Jackson Women's Health Organization (Dobbs) overturned federal protections to abortion care and altered the reproductive health care landscape. Thus far, aggregated state-level data reveal increases in the number of abortions in states where abortion is still legal, but there is limited information on delays to care and changes in the characteristics of people accessing abortion in these states after Dobbs. Objective: To examine changes in abortion provision and delays to care after Dobbs. Design, Setting, and Participants: Retrospective cohort study of all abortions performed at an independent, high-volume reproductive health care clinic network in Washington state from January 1, 2017, to July 31, 2023. Using an interrupted time series, the study assessed changes in abortion care after Dobbs. Exposure: Abortion care obtained after (June 24, 2022, to July 31, 2023) vs before (January 1, 2017, to June 23, 2022) Dobbs. Main Outcome and Measure: Primary outcomes included weekly number of abortions and out-of-state patients and weekly average of gestational duration (days) and time to appointment (days). Results: Among the 18 379 abortions during the study period, most were procedural (13 192 abortions [72%]) and funded by public insurance (11 412 abortions [62%]). The mean (SD) age of individuals receiving abortion care was 28.5 (6.44) years. Following Dobbs, the number of procedural abortions per week increased by 6.35 (95% CI, 2.83-9.86), but then trended back toward pre-Dobbs levels. The number of out-of-state patients per week increased by 2 (95% CI, 1.1-3.6) and trends remained stable. The average gestational duration per week increased by 6.9 (95% CI, 3.6-10.2) days following Dobbs, primarily due to increased gestations of procedural abortions. The average gestational duration among out-of-state patients did not change following Dobbs, but it did increase by 6 days for in-state patients (5.9; 95% CI, 3.2-8.6 days). There were no significant changes in time to appointment. Conclusions and Relevance: These findings provide a detailed picture of changes in abortion provision and delays to care after Dobbs in a state bordering a total ban state. In this study, more people traveled from out of state to receive care and in-state patients sought care a week later in gestation. These findings can inform interventions and policies to improve access for all seeking abortion care.

Factors influencing presentation delay among cancer patients: a cross-sectional study in Malaysia.

BACKGROUND: Cancer represents a significant global public health challenge, with escalating incidence rates straining healthcare systems. Malaysia, like many nations, has witnessed a rise in cancer cases, particularly among the younger population. This study aligns with Malaysia's National Strategic Plan for Cancer Control Programme 2021-2025, emphasizing primary prevention and early detection to address cancer's impact. Therefore, we aim to describe the timeliness of cancer care for symptom presentation, socio-demographic, patient, as well as organizational-related factors among patients in Malaysia diagnosed with breast, colorectal, nasopharyngeal, and cervical cancer. METHODS: This cross-sectional study enrolled adult cancer patients diagnosed with breast, cervical, colorectal, or nasopharyngeal cancer from 2015 to 2020 in seven public hospitals/oncology centres across Malaysia. Data were collected through patient-administered surveys and medical records. Presentation delay, defined as the duration between symptom onset and the patient's first visit to a healthcare professional exceeding 30 days, was the primary outcome. Statistical analysis included descriptive statistics and chi-square tests. RESULTS: The study included 476 cancer patients, with breast cancer (41.6%), colorectal cancer (26.9%), nasopharyngeal cancer (22.1%), and cervical cancer (9.5%). Over half (54.2%) experienced presentation delays with a median interval of 60 days. Higher proportions of presentation delay were observed among nasopharyngeal cancer patients, employed patients with lower socioeconomic statuses, and those without family history of cancer. Most patients self-discovered their first cancer symptoms (80%), while only one-third took immediate action for medical check-ups. Emotional and organizational factors, such as long waiting times during doctor's visits (47%), were potential barriers to seeking cancer care. CONCLUSION: This study highlights the significant problem of presentation delay among cancer patients in Malaysia. The delay is influenced by various factors encompassing sociodemographic characteristics, health-seeking behaviours, and healthcare system-related issues. A comprehensive approach addressing both individual barriers and institutional obstacles is imperative to mitigate this presentation delay and improve cancer outcomes.

Missed opportunities for treatment of inflammatory arthritis and factors associated with non-treatment: An observational cohort study in United States Veterans with rheumatoid arthritis, psoriatic arthritis, or ankylosing spondylitis.

OBJECTIVE: To identify factors associated with non-treatment with biologic and non-biologic disease modifying anti-rheumatic drugs (DMARDs) during the 12 months after initial inflammatory arthritis (IA) diagnosis. METHODS: We identified Veterans with incident IA diagnosed in 2007-2019. We assessed time to treatment with Kaplan-Meier curves. We identified associations between non-treatment and factors relating to patients, providers, and the health system with multivariate Generalized Estimation Equation (GEE) log-Poisson. Subgroup analyses included IA subtypes (rheumatoid arthritis [RA], psoriatic arthritis [PsA], and ankylosing spondylitis [AS]) and timeframes of the initial IA diagnosis (2007-11, 2012-15, and 2016-19). RESULTS: Of 18,318 study patients, 40.7 % did not receive treatment within 12 months after diagnosis. In all patients, factors associated with non-treatment included Black race (hazard ratio, 95 % confidence interval: 1.13, 1.08-1.19), Hispanic ethnicity (1.14, 1.07-1.22), Charlson Comorbidity Index ≥2, (1.15, 1.11-1.20), and opiate use (1.09, 1.05-1.13). Factors associated with higher frequency of DMARD treatment included married status (0.86, 0.81-0.91); erosion in joint imaging report (HR: 0.86, 0.81-0.91); female diagnosing provider (0.90, CI: 0.85-0.96), gender concordance between patient and provider (0.91, CI: 0.86-0.97), and diagnosing provider specialty of rheumatology (0.53, CI: 0.49-0.56). CONCLUSION: A high proportion of Veterans with IA were not treated with a biologic or non-biologic DMARD within one year after their initial diagnosis. A wide range of factors were associated with non-treatment of IA that may represent missed opportunities for improving the quality of care through early initiation of DMARDs.

Analysis of onset-to-door time and its influencing factors in Chinese patients with acute ischemic stroke during the 2020 COVID-19 epidemic: a preliminary, prospective, multicenter study.

BACKGROUND: Pre-hospital delay in China is a serious issue with unclear relevant reasons, seriously impeding the adoption of appropriate measures. Herein, we analyzed the onset-to-door time (ODT) in Chinese patients with acute ischemic stroke (AIS) and its influencing factors. METHODS: We prospectively recruited 3,459 patients with AIS from nine representative tertiary general hospitals in China between January and June 2022. Patients were divided into ODT ≤ 3 h and ODT > 3 h groups. Following single-factor analysis, binary logistic regression analysis was performed to evaluate the risk factors leading to pre-hospital delay. RESULTS: In total, 763 (21.83%) patients arrived at the hospital within 3 h of onset. After adjusting for confounding factors, the risk factors for ODT were residence in rural areas (odds ratio [OR]: 1.478, 95% credibility interval [CI]: 1.024-2.146) and hospital transfer (OR: 7.479, 95% CI: 2.548-32.337). The protective factors for ODT were location of onset ≤ 20 km from the first-visit hospital (OR: 0.355, 95% CI: 0.236-0.530), transportation by emergency medical services (OR: 0.346, 95% CI: 0.216-0.555), history of atrial fibrillation (OR: 0.375, 95% CI: 0.207-0.679), moderate stroke (OR: 0.644, 95% CI: 0.462-0.901), and severe stroke (OR: 0.506, 95% CI: 0.285-0.908). CONCLUSIONS: Most patients with AIS fail to reach a hospital within the critical 3-h window. The following measures are recommended to reduce pre-hospital delays: reasonable distribution of hospitals accessible to nearby residents, minimizing interhospital transfer, paying attention to patients with mild stroke, and encouraging patients to use ambulance services. Pre-hospital delays for patients can be reduced by implementing these measures, ultimately improving the timeliness of treatment and enhancing patient prognosis. This study was carried out amid the COVID-19 pandemic, which presented challenges and constraints.

The Risk Of Waiting Up To One Year For Cardiac Surgery.

INTRODUCTION: Cardiac disease is associated with a risk of death, both by the cardiac condition and by comorbidities. The waiting time for surgery begins with the onset of symptoms and includes referral, completion of the diagnosis and surgical waiting list (SWL). This study was conducted during the COVID-19 pandemic, which affected surgical capacity and patients' morbidities. METHODS: The cohort includes 1914 consecutive adult patients (36.6% women, mean age 67 ±11 years), prospectively registered in the official SWL from January 2019 to December 2021. We analyzed waiting times ranging from 4 days to one year to exclude urgencies and outliers. Priority was classified by the national criteria for non-oncologic or oncology surgery. RESULTS: During the study period, 74% of patients underwent surgery, 19.2% were still waiting, and 4.3% dropped out. Most cases were valvular (41.2%) or isolated bypass procedures (34.2%). Patients were classified as non-priority in 29.7%, priority in 61.8%, and high priority in 8.6%, with significantly different SWL mean times between groups (p<0.001). The overall mean waiting time was 167 ± 135 days. Mortality on SWL was 2.5%, or 1.1 deaths per patient/weeks. There were two mortality independent predictors: age (HR 1.05) and the year 2021 versus 2019 (HR 2.07) and a trend toward higher mortality in priority patients versus non-priority (p=0.065). The overall risk increased with time with different slopes for each year. Using the time limits for SWL in oncology, there would have been a significant risk reduction (p=0.011). CONCLUSION: The increased risk observed in 2021 may be related to the pandemic, either by increasing waiting time or by direct mortality. Since risk stratification is not entirely accurate, waiting time emerges as the most crucial factor influencing mortality, and implementing stricter time limits could have led to lower mortality rates.

Pediatric Acute Compartment Syndrome in Long Bone Fractures: Who is at Risk?

INTRODUCTION: There is a paucity of large-scale data on the factors that suggest an impending or underlying extremity pediatric acute compartment syndrome (ACS). In addition, literature regarding the timing of operative fixation and the risk of ACS is mixed. We aimed to describe the factors associated with pediatric ACS. METHODS: Analysis of 2017-2019 Trauma Quality Improvement Program. We included patients aged <18 y diagnosed with upper extremity (UE) and lower extremity (LE) fractures. Burns and insect bites/stings were excluded. Multivariable regression analyses were performed to identify the predictors of ACS. RESULTS: 61,537 had LE fractures, of which 0.5% developed ACS. 76,216 had UE fractures, of which 0.16% developed ACS. Multivariable regression analyses identified increasing age, male gender, motorcycle collision, and pedestrian struck mechanisms of injury, comminuted and open fractures, tibial and concurrent tibial and fibular fractures, forearm fractures, and operative fixation as predictors of ACS (P value <0.05). Among LE fractures, 34% underwent open reduction internal fixation (time to operation = 14 [8-20] hours), and 2.1% underwent ExFix (time to operation = 9 [4-17] hours). Among UE fractures, 54% underwent open reduction internal fixation (time to operation = 11 [6-16] hours), and 1.9% underwent ExFix (time to operation = 9 [4-14] hours). Every hour delay in operative fixation of UE and LE fractures was associated with a 0.4% increase in the adjusted odds of ACS (P value <0.05). CONCLUSIONS: Our results may aid clinicians in recognizing children who are "at risk" for ACS. Future studies are warranted to explore the optimal timing for the operative fixation of long bone fractures to minimize the risk of pediatric ACS.

The Impact of Surgical Delay in Primary Cutaneous Melanoma: A Systematic Review.

BACKGROUND AND OBJECTIVES: The prognosis of patients diagnosed with melanoma is highly dependent on staging, early detection, and early intervention. In this systematic review, the authors aimed to investigate the impact of surgical delay (time between diagnostic biopsy and definitive surgical excision) on melanoma-specific outcomes. MATERIAL AND METHODS: A systematic review was conducted from Embase (1974-present), MEDLINE (1946-present), Cochrane Central Register of Controlled Trials (2005-present), Scopus, and Web of Science. A total of 977 studies were included for review after removal of duplicates. A total of 10 studies were included for final analysis. RESULTS: In total, 70% (7/10) of the studies found that longer wait times between initial biopsy and surgical intervention are correlated with lower overall survival. Among the 9 studies that reported overall survival as a percentage, the median and SD overall survival was 82% ± 5.87. CONCLUSION: There is evidence that prolonged surgical delay in patients diagnosed with Stage I cutaneous melanoma is associated with worsened overall mortality, whereas the effect of surgical delay on overall mortality in Stages II and III melanomas is uncertain. Future prospective studies and randomized clinical trials are needed to better define the appropriate surgical wait times between biopsy and surgical treatment.

Time Is Life: Golden Ten Minutes on Scene-EuReCa_Serbia 2014-2023.

Background and Objectives: This study analyzed the frequency of factors influencing the course and outcomes of out-of-hospital cardiac arrest (OHCA) in Serbia and the prediction of pre-hospital outcomes and survival. Materials and Methods: Data were collected during the period from 1 October 2014, to 31 September 2023, according to the protocol of the EuReCa_One study (clinical trial ID number NCT02236819). Results: Overall 9303 OHCA events were registered with a median age of 71 (IQR 61-81) years and 59.7% of them being males. The annual OHCA incidence was 85.60 ± 20.73/100,000. Within all bystander-witnessed cases, bystander-initiated cardiopulmonary resuscitation in 15.3%. Within the resuscitation-initiated group, return-of-spontaneous circulation (ROSC) on scene (any ROSC) was present in 1037/4053 cases (25.6%) and ROSC on admission to the nearest hospital in 792/4053 cases (19.5%), while 201/4053 patients survived to hospital discharge (5.0%). Predictive potential on pre-hospital outcomes was shown by several factors. Also, of all patients having any ROSC, 89.2% were admitted to the hospital alive. The probability of any ROSC dropped below 50% after 17 min passed after the emergency call and 10 min after the EMS scene arrival. These time intervals were significantly associated with survival to hospital discharge (p < 0.001). Five-minute time intervals between both emergency calls and any ROSC and EMS scene arrival and any ROSC also had a significant predictive potential for survival to hospital discharge (p < 0.001, HR 1.573, 95% CI 1.303-1.899 and p = 0.017, HR 1.184, 95% CI 1.030-1.361, respectively). Conclusions: A 10-min time on scene to any ROSC is a crucial time-related factor for achieving any ROSC, and indirectly admission ROSC and survival to hospital discharge, and represents a golden time interval spent on scene in the management of OHCA patients. A similar effect has a time interval of 17 min from an emergency call. Further investigations should be focused on factors influencing these time intervals, especially time spent on scene.

Rapid Initiation of Antiretroviral Therapy Under the Treat-All Policy Reduces Loss to Follow-Up and Virological Failure in Routine Human Immunodeficiency Virus Care Settings in China: A Retrospective Cohort Study (2016-2022).

Following the World Health Organization's guidelines for rapid antiretroviral therapy (ART) initiation [≤7 days after human immunodeficiency virus (HIV) diagnosis], China implemented Treat-All in 2016 and has made significant efforts to provide timely ART since 2017. This study included newly diagnosed HIV adults from Tianjin, China, between 2016 and 2022. Our primary outcome was loss to follow-up (LTFU) at 12 months after enrollment. The secondary outcome was 12-month virological failure. The association between rapid ART and LTFU, as well as virological failure, was assessed via Cox regression and logistic regression. A total of 896 (19.1%) of 4688 participants received ART ≤7 days postdiagnosis. The rate of rapid ART has increased from 7.5% in 2016 to 33.3% by 2022. The rapid ART group had an LTFU rate of 3.3%, as opposed to 5.0% in the delayed group. The rapid ART group had a much reduced virological failure rate (0.6% vs. 1.8%). Rapid ART individuals had a reduced likelihood of LTFU [adjusted hazard ratio: 0.65, 95% confidence intervals (CI): 0.44-0.96] and virological failure (adjusted odds ratio: 0.35, 95% CI: 0.12-0.80). The real-world data indicated that rapid ART is practicable and beneficial for Chinese people with HIV, providing evidence for its widespread implementation and scaling up.

Predictive modeling of initiation and delayed mental health contact for depression.

BACKGROUND: Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment. METHODS: We obtained data from the VA Corporate Data Warehouse (CDW). EHR data were extracted for 127,423 Veterans who deployed to Iraq/Afghanistan after 9/11 with a positive depression screen and a first depression diagnosis between 2001 and 2021. We also obtained 12-month pre-diagnosis and post-diagnosis patient data. Retrospective cohort analysis was employed to test if predictors can reliably differentiate patients who initiated, delayed, or received no mental health treatment associated with their depression diagnosis. RESULTS: 108,457 Veterans with depression, initiated depression-related care (55,492 Veterans delayed treatment beyond one month). Those who were male, without VA disability benefits, with a mild depression diagnosis, and had a history of psychotherapy were less likely to initiate treatment. Among those who initiated care, those with single and mild depression episodes at baseline, with either PTSD or who lacked comorbidities were more likely to delay treatment for depression. A history of mental health treatment, of an anxiety disorder, and a positive depression screen were each related to faster treatment initiation. Classification of patients was modest (ROC AUC = 0.59 95%CI = 0.586-0.602; machine learning F-measure = 0.46). CONCLUSIONS: Having VA disability benefits was the strongest predictor of treatment initiation after a depression diagnosis and a history of mental health treatment was the strongest predictor of delayed initiation of treatment. The complexity of the relationship between VA benefits and history of mental health care with treatment initiation after a depression diagnosis is further discussed. Modest classification accuracy with currently known predictors suggests the need to identify additional predictors of successful depression management.

Association of hemorrhage-to-treatment time with outcomes in patients with brainstem cavernous malformations: a nationwide cohort study.

BACKGROUND: Brainstem cavernous malformations (BSCMs) often present with haemorrhage, but the optimal timing for microsurgical intervention remains unclear. This study aims to explore how intervention timing relates to neurological outcomes in haemorrhagic BSCM patients undergoing microsurgery, offering insights for clinical decisions. METHODS: A total of 293 consecutive patients diagnosed with BSCMs, who underwent microsurgery were identified between March 2011 and January 2023 at two comprehensive centres in China, with a postoperative follow-up duration exceeding 6 months. Utilizing logistic regression models with restricted cubic splines, distinct time groups were identified. Subsequently, matching weight analysis compared these groups in terms of outcomes, new haemorrhage rates, cranial nerve deficits, and perioperative complications. The primary outcome was an unfavourable outcome, which was defined as a mRS score greater than 2 at the latest follow-up. RESULTS: Among the 293 patients, 48.5% were female, median age was (39.9±14.3) years, and median haemorrhage-to-treatment time was 42 days. Patients were categorized into acute (≤21 days), subacute (22-42 days), and delay (>42 days) intervention groups. After matching, 186 patients were analyzed. Adjusted analysis showed lower unfavourable outcome rates for acute [adjusted odds ratio (OR), 0.73; 95% CI, 0.65-0.82; P<0.001] and subacute (adjusted OR, 0.83; 95% CI, 0.72-0.95; P=0.007) groups compared to the delay group. Subacute intervention led to fewer cranial nerve deficits (adjusted OR, 0.76; 95% CI, 0.66-0.88, P<0.001). New haemorrhage incidence didn't significantly differ among groups. CONCLUSIONS: For haemorrhagic BSCMs patients, delayed microsurgical intervention that exceeded 42 days after a prior haemorrhage were associated with an increased risk of unfavourable neurological outcomes.

Assessment of the impact of social deprivation, distance to hospital and time to diagnosis on survival in idiopathic pulmonary fibrosis.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive condition associated with a variable prognosis. The relationship between socioeconomic status or distance travelled to respiratory clinics and prognosis is unclear. RESEARCH QUESTION: To determine whether socioeconomic status, distance to hospital and time to referral affects survival in patients with IPF. STUDY DESIGN AND METHODS: In this retrospective cohort study, we used data collected from the British Thoracic Society Interstitial Lung Diseases Registry, between 2013 and 2021 (n = 2359) and calculated the quintile of Index of Multiple Deprivation 2019 score, time from initial symptoms to hospital attendance and distance as the linear distance between hospital and home post codes. Survival was assessed using Cox proportional hazards models. RESULTS: There was a significant association between increasing quintile of deprivation and duration of symptoms prior to hospital presentation, Gender Age Physiology (GAP) index and receipt of supplemental oxygen and antifibrotic therapies at presentation. The most deprived patients had worse overall survival compared to least deprived after adjusting for smoking status, GAP index, distance to hospital and time to referral (HR = 1.39 [1.11, 1.73]; p = 0.003). Patients living furthest from a respiratory clinic also had worse survival compared to those living closest (HR = 1.29 [1.01, 1.64]; p = 0.041). INTERPRETATION: The most deprived patients with IPF have more severe disease at presentation and worse outcomes. Living far from hospital was also associated with poor outcomes. This suggests inequalities in access to healthcare and requires consideration in delivering effective and equitable care to patients with IPF.