Time to Diagnosis and Presenting Symptoms of Patients Diagnosed With Cancer Through Emergency and Nonemergency Routes: A Large Retrospective Study From a High-Volume Center.

PURPOSE: The symptoms with which a patient with cancer presents and the route taken to diagnosis (emergency v nonemergency) may affect the speed with which the diagnosis of cancer is made, thereby affecting outcomes. We examined time to diagnosis by symptom for cancers diagnosed through emergency and nonemergency routes (NERs). METHODS: We performed a retrospective review of patients diagnosed with 10 solid cancers at Hospital Clínic of Barcelona between March 2013 and June 2023. Cancers were diagnosed through emergency presentation and admission (inpatient emergency route [IER]), emergency presentation and outpatient referral (outpatient emergency route [OER]), and primary care presentation and outpatient referral (NER). We assessed the effect of diagnostic routes on intervals to diagnosis for 19 cancer symptoms. RESULTS: A total of 5,174 and 1,607 patients were diagnosed with cancer through emergency routes and NERs, respectively. Over 85% of patients presenting with alarm (localizing) symptoms such as hematuria through emergency routes were diagnosed with the expected cancer, whereas those with nonlocalizing symptoms such as abdominal pain had a more heterogeneous cancer-site composition. Median intervals were shorter for alarm than nonlocalizing symptoms and tended to be shorter in IERs than OERs. However, for most symptoms, intervals in both routes were invariably shorter than in the NER. For example, diagnostic intervals for hematuria and abdominal pain were 3 and 5 days shorter in IERs than OERs, but they were 5-8 and 17-22 days shorter than in the NER, respectively. CONCLUSION: For patients with alarm symptoms, intervals were shorter than for those with nonlocalizing symptoms and, for most symptoms, intervals were shorter when patients were evaluated by emergency routes rather than NERs.

Time intervals and previous primary care consultations in the pathway to emergency cancer diagnosis.

BACKGROUND: Time intervals and number of prior consultations in primary care (PC) are recognised metrics of diagnostic timeliness of cancer and are interrelated. However, whether and how the two measures correlate with each other in the emergency diagnostic pathway is unknown. We investigated the association between the number of prereferral consultations and the length of intervals from PC presentation to cancer diagnosis following emergency referral to hospital. METHODS: Patients were eligible if they first consulted in PC and were diagnosed with cancer following emergency or nonemergency referral to hospital. We analysed for differences in PC and diagnostic intervals and number of consultations between emergency and nonemergency presenters and determined their associations by cancer type. Differences in presenting symptoms and stage at diagnosis between populations and according to number of consultations were also examined. RESULTS: There were 796 emergency and 865 nonemergency presenters with comparable sociodemographic and comorbidity data. Correlation analysis in emergency presenters revealed a strong positive association between number of consultations and intervals for seven of 13 different cancers, including cancers characterised by high proportions of > 3 consultations and long intervals (pancreatic, lung, and colorectal cancer) and vice versa for others (e.g., endometrial, cervical, or oesophageal cancer). Additionally, emergency presenters with > 3 consultations were more likely than those with 1-2 to report nonspecific symptoms (60 vs. 40%, respectively) and to be diagnosed at a later stage. CONCLUSION: System level interventions are needed to reduce unnecessary delays in the emergency diagnostic pathway, particularly in cancer patients with multiple prereferral consultations. The findings also suggest opportunities to reduce the proportion of emergency diagnoses by targeting symptomatic individuals pre-presentation.

Cost-effectiveness analysis of molecular testing in minimally invasive samples to detect endometrial cancer in women with postmenopausal bleeding.

INTRODUCTION: New approaches are being developed to early detect endometrial cancer using molecular biomarkers. These approaches offer high sensitivities and specificities, representing a promising horizon to develop early detection strategies. OBJECTIVE: To evaluate the effectiveness and cost-effectiveness of introducing molecular testing to detect endometrial cancer in women with postmenopausal bleeding compared to the current strategy using the national healthcare service perspective. METHODS: A Markov model was developed to assess the two early detection strategies. The model predicts the number of hysterectomies, lifetime expectancy, quality-adjusted life-years, endometrial cancer prevalence and incidence, mortality from endometrial cancer and the lifetime cost of screening, diagnosis, and treatment. Strategies were compared using the incremental cost-effectiveness ratio. RESULTS: The molecular strategy reduces 1.9% of the overall number of hysterectomies and the number of undetected cancer cases by 65%. Assuming a molecular test cost of 310€, the molecular strategy has an incremental cost of -32,952€ per QALY gained, being more effective and less expensive than the current strategy. CONCLUSIONS: The introduction of molecular testing to diagnose endometrial cancer in women presenting postmenopausal bleeding provides more health benefit at a lower cost, and therefore has the potential to be cost-effective.

Time intervals in the pathway to emergency cancer diagnosis.

Aim: Evidence on time-based metrics for cancers diagnosed through emergency presentation is lacking. We examined the duration of intervals from first symptoms to cancer diagnosis in the emergency versus primary care (PC) presentation route. Methods: Retrospective study of outpatients diagnosed with 15 solid cancers over 5 years. The outcome was the length of prediagnostic intervals by diagnostic route. Results: Median intervals in emergency presenters (n = 3167) were shorter than in PC presenters (n = 2215). However, intervals in emergency presenters with three or more prior PC consultations were similar to PC but remarkably longer than in those with one or two and no consultations. Conclusion: As we provide new interval measures for the emergency diagnostic pathway, results highlight the contribution of prior consultations to interval lengths.

Recognizing distant faces.

As an 'early alerting' sense, one of the primary tasks for the human visual system is to recognize distant objects. In the specific context of facial identification, this ecologically important task has received surprisingly little attention. Most studies have investigated facial recognition at short, fixed distances. Under these conditions, the photometric and configural information related to the eyes, nose and mouth are typically found to be primary determinants of facial identity. Here we characterize face recognition performance as a function of viewing distance and investigate whether the primacy of the internal features continues to hold across increasing viewing distances. We find that exploring the distance dimension reveals a qualitatively different salience distribution across a face. Observers' recognition performance significantly exceeds that obtained with the internal facial physiognomy, and also exceeds the computed union of performances with internal and external features alone, suggesting that in addition to the mutual configuration of the eyes, nose and mouth, it is the relationships between these features and external head contours that are crucial for recognition. We have also conducted computational studies with convolutional neural networks trained on the task of face recognition to examine whether this representational bias could emerge spontaneously through exposure to faces. The results provide partial support for this possibility while also highlighting important differences between the human and artificial system. These findings have implications for the nature of facial representations useful for a visual system, whether human or machine, for recognition over large and varying distances.

Time intervals in the care pathway to cancer diagnosis during the COVID-19 pandemic: A large retrospective study from a high-volume center.

Despite extensive research on cancer care during the COVID-19 pandemic, evidence on the impact on prediagnostic time intervals is lacking. To better understand how COVID-19 changed the pathway to diagnosis of cancer, we examined the length of intervals from symptom onset to diagnosis for 13 common cancer types with known clinical stage over 1-year nonpandemic period (March 2019 to March 2020; N = 844) and three biannual COVID periods (March 2020 to September 2021; N = 1172). We analyzed the patient interval (from first symptoms to presentation to a physician), the primary care/emergency department interval (from presentation with relevant symptoms to a primary care or emergency department physician to referral to a hospital-based diagnosis center) and the hospital interval (from referral to diagnosis). Compared to nonpandemic data, there were significant changes across COVID periods. The pandemic mostly impacted patient intervals for cancers diagnosed over the first 6 months after onset in March 2020. Overall median patient intervals were longest in the early COVID period (39 [IQR 22-64] days) and shortest in the nonpandemic period (20 [IQR 13-30] days; Kruskal-Wallis test [χ2 ], P < .0001). Differences in clinical stage between periods were relevant, with cancers from the mid-period (September 2020 to March 2021) showing the most advanced stage. A shift to later stage was plausibly a result of delayed intervals in the early COVID period. Since intervals are eventually relevant to prognosis, our results provide a baseline against which the impact of improvement strategies to minimize the negative outcomes of COVID-19-associated cancer delays can be assessed and implemented.

Prevaccine Human Papillomavirus Status in Invasive and Intraepithelial Lesions of the Vulva in New Zealand Women.

OBJECTIVE: The human papillomavirus (HPV) vaccine, introduced in New Zealand (NZ) in 2008, is predicted to substantially lower the incidence of HPV-associated precancers and cancers. The aim of this study is to estimate the proportion of vulvar intraepithelial neoplasia (VIN) lesions and invasive vulvar squamous cell carcinomas (SCCV) attributable to HPV in NZ women treated by the Auckland Regional Gynecological Oncology Service, covering an estimated 50% of the NZ population. MATERIALS AND METHODS: Polymerase chain reaction and reverse hybridization were used to analyze retrospective histologically proven SCCV from 1990 to 2007 and VIN lesions from 2000 to 2007 for HPV content and genotype in a collaborative study with the Catalan Institute of Oncology. Immunohistochemistry for p16INK4a was performed on SCCV, which were attributed to HPV if both tested positive. RESULTS: Polymerase chain reaction testing for HPV content and genotype was performed on 66 VIN lesions (all high-grade squamous intraepithelial lesions) and 189 SCCV. In addition, p16 immunohistochemistry was performed on 168 of the 189 SCCV (88.9%) tested for HPV-DNA. Overall, 61 SCCV cases (36.3%) were attributed to HPV (HPV+/p16+), and 89 SCCV cases (53%) were considered to have developed independently of HPV (HPV-/p16-). Known high-risk HPV genotypes were present in 96.8% of HPV-DNA-positive vulvar high-grade squamous intraepithelial lesions and 98.4% of HPV-attributable SCCV. Human papillomavirus 16 represented the most common genotype in both. CONCLUSIONS: Overall, the HPV vaccine is likely to substantially alter the profile of SCCV in our region. The results provide a baseline assessment of the HPV status of vulvar neoplasia before the introduction of the HPV vaccine.

Night work, chronotype and risk of endometrial cancer in the Screenwide case-control study.

BACKGROUND: Circadian disruption caused by night work has been associated with hormonal-related cancers such as breast and prostate cancer. Data on the role of circadian factors in the aetiology of endometrial cancer, an oestrogen-associated cancer, are scarce. METHODS: We examined the association between endometrial cancer and night shift work, chronotype (a characteristic correlating with preference for morning or evening activity) and sleep duration, in 180 incident cases and 218 hospital controls. Participants were interviewed face-to-face by trained interviewers to collect information on sociodemographic factors, familial, medical, occupational history (including work shifts), sleep duration and chronotype, and other lifestyle factors. We used logistic regression models adjusted for potential confounders to estimate ORs and 95% CIs. RESULTS: After adjustment by potential confounders, we found an inverse not statistically significant association between ever worked in night shifts and endometrial cancer (OR=0.64; 95% CI=0.35 to 1.16). Associations were irrespective of shift type (permanent or rotating nights) or duration of night work. We did not observe any statistically significant association between endometrial cancer and sleep duration, while inconsistent patterns were observed for chronotype and endometrial cancer risk. CONCLUSIONS: These data do not support a role for circadian disruption in the carcinogenesis of endometrial cancer.

Cardiovascular magnetic resonance determinants of ventricular arrhythmic events after myocardial infarction.

AIMS: To non-invasively characterize, by means of late gadolinium enhancement cardiac magnetic resonance (LGE-CMR), scar differences, and potential variables associated with ventricular tachycardia (VT) occurrence in chronic post-myocardial infarction (MI) patients. METHODS AND RESULTS: A case-control study was designed through retrospective LGE-CMR data analysis of chronic post-MI patients (i) consecutively referred for VT substrate ablation after a first VT episode (n = 66) and (ii) from a control group (n = 84) with no arrhythmia evidence. The myocardium was characterized differentiating core, border zone (BZ), and BZ channels (BZCs) using the ADAS 3D post-processing imaging platform. Clinical and scar characteristics, including a novel parameter, the BZC mass, were compared between both groups. One hundred and fifty post-MI patients were included. Four multivariable Cox proportional hazards regression models were created for total scar mass, BZ mass, core mass, and BZC mass, adjusting them by age, sex, and left ventricular ejection fraction (LVEF). A cut-off of 5.15 g of BZC mass identified the cases with 92.4% sensitivity and 86.9% specificity [area under the ROC curve (AUC) 0.93 (0.89-0.97); P < 0.001], with a significant increase in the AUC compared to other scar parameters (P < 0.001 for all pairwise comparisons). Adding BZC mass to LVEF allowed to reclassify 33.3% of the cases and 39.3% of the controls [net reclassification improvement = 0.73 (0.71-0.74)]. CONCLUSIONS: The mass of BZC is the strongest independent variable associated with the occurrence of sustained monomorphic ventricular tachycardia in post-MI patients after adjustment for age, sex, and LVEF. Border zone channel mass measurement could permit a more accurate VT risk stratification than LVEF in chronic post-MI patients.

Delays in Cancer Diagnostic Testing at a Quick Referral Unit in Spain during COVID-19.

Although COVID-19 has had dire consequences on diagnosis of cancer, little data assessing its impact on the whole range of diagnostic activity relevant to cancer are available. We examined trends in the provision of full diagnostic tests for consecutive patients with suspected cancer referred to an academic hospital-based Quick Diagnosis Unit from January 2019 to December 2020. As weekly volumes declined, waiting times for endoscopic, imaging and biopsy/cytology procedures increased steeply during the COVID-impacted period (26 February-28 April 2020). The average weekly increase compared with the same period in 2019 was substantial for invasive procedures requiring admission (200.70%), CT scans (171.20%), GI endoscopy (161.50%), PET/CT scans (152.50%), ultrasonography (148.40%), and ambulatory biopsy/cytology procedures (111.20%). Volumes and waiting times to other procedures showed similar trends. There was a remarkable downward trend in cancer diagnosis during the COVID-impacted period, with a 54.07% reduction compared with the same weeks in 2019. Despite a modest recovery in the following months, the decline in weekly activity and cancer rates persisted until 30 December. Providing insight into how COVID-19 changed the full spectrum of diagnostic activity for suspected cancer informs resilience-building interventions to guarantee access to fast and efficient diagnostics ahead of new threats.

The impact of Covid-19 on patients with suspected cancer: An analysis of ED presentation and referrals to a quick diagnosis unit.

PURPOSE: Patients evaluated in the emergency department (ED) who have concerning symptoms suggestive of a cancer diagnosis are mostly referred to the quick diagnosis unit of our tertiary hospital. This study analyzed the impact of the Covid-19 pandemic on the volume, disease patterns, and accessibility to essential investigations of patients with suspected cancer referred by the ED to this unit. METHODS: Trends in referrals were analyzed from January 1 to July 8, 2020 and the corresponding dates of 2019. Only non-Covid-19 conditions were evaluated. Three time-based cohorts were defined: prepandemic (January 1-February 19), pandemic (February 19-April 22), and postpandemic (April 22-July 8). Along with descriptive statistics, linear regression was used to test for time trends with weekly referrals as the dependent variable. RESULTS: There were 384, 193, and 450 patients referred during the prepandemic, pandemic, and postpandemic periods, respectively. Following an increasing rate, referrals decreased to unprecedented levels in the pandemic period (average weekly slope: -2.1 cases), then increasing again until near normalization. Waiting times to most diagnostic procedures including radiology, endoscopic, nuclear medicine, and biopsy/cytology during the pandemic period were significantly delayed and time-to-diagnosis was considerably longer (19.72 ± 10.37 days vs. 8.33 ± 3.94 days in prepandemic and 13.49 ± 6.45 days in postpandemic period; P < 0.001 in both). Compared to other cohorts, pandemic cohort patients were more likely to have unintentional weight loss and fever of unknown origin as referral indications while anemia and lymphadenopathy were less common. Patients from the pandemic cohort had a significantly lower rate of malignancies and higher of benign gastrointestinal disorders (40.93% vs. 19.53% and 20.89% in prepandemic and postpandemic periods, respectively; P < 0.001 in both), most notably irritable bowel disease, and of mental and behavioral disorders (15.54% vs. 3.39% and 6.00% in prepandemic and postpandemic periods, respectively; P < 0.001 in both). CONCLUSIONS: As our hospital switched its traditional care to one focused on Covid-19 patients, recognized indicators of healthcare quality of quick diagnosis units were severely disrupted. The clinical patterns of presentation and diagnosis of the pandemic period suggested that mass media-generated mental and behavioral responses with distressing symptoms played a significant role in most of these patients.

A comparative cost analysis between two quick diagnosis units of different levels of complexity.

Aim: To compare by micro-costing the costs incurred by quick diagnosis units of tertiary and second-level hospitals. Patients & methods: We included 407 patients from a tertiary and secondary hospital unit. A bottom-up approach was applied. Results: Cost per patient was €577.5 ± 219.6 in the tertiary versus €394.7 ± 92.58 in the secondary unit (p = 0.0559). Mean number of visits and ratio of successive/first visits were significantly higher in the former (3.098 and 2.07 vs 2.123 and 1.12, respectively). Personnel and indirect costs including their percent contribution to overall costs accounted for the main differences. Conclusion: A greater volume of appointments, number of staff and staff time and a greater complexity of patients from the tertiary hospital unit justified the differences in cost outcomes.

Clinical characteristics and outcome of patients aged over 80 years with covid-19.

ABSTRACT: To investigate the clinical characteristics and outcome of octogenarians with covid-19.This is a observational, retrospective, descriptive study.Consecutive patients aged >80 years who were admitted for covid-19 pneumonia during a 6 weeks period (March 20-April 30, 2020).Illness severity on admission was classified according to World Health Organization (WHO) criteria: mild, moderate, severe, and critical. Data collected included demographics, presenting symptoms, radiological and laboratory findings, comorbidities, functional status, treatment, and clinical outcome.There were 159 patients (52.2% women) with a median age of 85.99 (IQR: 80-98). The median Barthel index was 90 (40-100) and Charlson index was 5 (5-6). Most common presenting symptoms were fever, dyspnea, and cough. Patients had mild (8.2%), moderate (52.2%), or severe (39.6%) illness according to WHO criteria. A bilateral pulmonary involvement was seen in 86% of patients. Laboratory analysis revealed increased serum concentrations of inflammatory parameters (C-reactive protein, ferritin, lactate dehydrogenase, and D-dimer) with an abnormal lymphocyte count [0.88 × 109/L (0.5)]. Treatments included corticosteroids in 37%, and biological therapies in 17.6%. Fifty three (33.3%) patients died during hospitalization, with a median time from admission to death of 3 (IQR 1-6) days. Mortality was higher in men (55%). Deceased patients had a significantly higher frequency of dyspnea, increased inflammatory parameters, and illness severity compared to survivors.One-third of octogenarians with covid-19 died during hospitalization and most had bilateral lung involvement. A further knowledge of the characteristics and outcome of this population may assist clinicians in the decision-making process in these patients.

Tumour markers with clinically controlled cut-offs for suspected cancer.

BACKGROUND: Due to insufficient scientific evidence, panels of tumour markers (TMs) are currently not recommended for use in suspected cancer. However, recent well-designed studies have revealed a potential clinical value in lung cancer. We analysed the diagnostic accuracy of a panel of 11 circulating TMs with clinically controlled thresholds in the differentiation of cancer from nonmalignant diseases. METHODS: We prospectively recruited 4776 consecutive patients presenting with focal or nonspecific symptoms suggestive of cancer who underwent testing for 11 serum TMs before diagnosis was known. The study abided by 2015 STARD guidelines. Tumour markers included, among others, carbohydrate antigen 19-9, carcinoembryonic antigen, alpha-fetoprotein, squamous cell carcinoma-associated antigen, prostate-specific antigen (males), neuron-specific enolase, progastrin-releasing peptide and carbohydrate antigen 125. Thresholds were adjusted for the presence of kidney failure, liver disease, effusions and dermatological disorders. Results showing ≥1 TMs with concentrations above threshold were considered positive. RESULTS: Benign diseases were diagnosed in 3281 (68.7%) patients and cancer in 1495 (31.3%), with epithelial cancers in 1214 (77% at stage IV). When applying criteria for controlled thresholds, overall specificity was 98%. Overall sensitivity of the panel in epithelial cancers was 72.2%, positive predictive value 93% and negative predictive value 90.5%. The area under the receiver operating characteristic curve was 0.920 (95% confidence interval, 0.902-0.924). CONCLUSIONS: By using clinically controlled cut-offs, the combined panel demonstrated an excellent ability to discriminate epithelial cancers from nonmalignant diseases. However, its use in clinical practice would need formal validation through a multicentre controlled trial assessing a panel-guided strategy vs. standard diagnosis.

Going 'trans-E-3-ve': Educational principles for a new generation of medical students.

Educating medical students represents a thrilling yet challenging task. In an era of research breakthroughs but also global health setbacks, there is a risk that scientists and educators focus on highly specialized areas of knowledge, neglecting interrelated systemic issues. Here, we argue that the education of medical students should be embraced using a different strategy remodeled through what we call a 'tranS-E-3-ve' lens. In this new approach, there is no room for scientific reductionism. Instead, health disciplines should be seen from a translational, trans-disciplinary and trans-territorial scope, and should be sensitive to problems and pathways that link global phenomena to health. While current health issues cannot be approached without an equity lens, there are three interconnected dimensions of health that should pervade the content, goals, and design of academic curricula in medical schools: (1) exposome, or the understanding of the environmental contributors to health and disease; (2) identification of the mechanisms involved in the interactions between the elements that constitute complex systems; and (3) 'inner space', or the study of how cells communicate within the human body.

Arrhythmogenic substrate detection in chronic ischaemic patients undergoing ventricular tachycardia ablation using multidetector cardiac computed tomography: compared evaluation with cardiac magnetic resonance.

AIMS: Late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) permits characterizing ischaemic scars, detecting heterogeneous tissue channels (HTCs) which constitute the arrhythmogenic substrate (AS). Late gadolinium enhancement cardiac magnetic resonance also improves the arrhythmia-free survival when used to guide ventricular tachycardia (VT) substrate ablation. However, its availability may be limited. We sought to evaluate the performance of multidetector cardiac computed tomography (MDCT) imaging in identifying HTCs detected by LGE-CMR in ischaemic patients undergoing VT substrate ablation. METHODS AND RESULTS: Thirty ischaemic patients undergoing both LGE-CMR and MDCT before VT substrate ablation were included. Using a dedicated post-processing software, two blinded operators, assigned either to LGE-CMR or MDCT analysis, characterized the presence of CMR and computed tomography (CT) channels, respectively. Cardiac magnetic resonance channels were classified as endocardial (layers < 50%), epicardial (layers ≥ 50%), or transmural. Cardiac magnetic resonance- vs. CT-channel concordance was considered when showing the same orientation and American Heart Association (AHA) segment. Mean age was 69 ± 10 years; 90% were male. Mean left ventricular ejection fraction was 35 ± 10%. All patients had CMR channels (n = 76), whereas only 26/30 (86.7%) had CT channels (n = 91). Global sensitivity (Se) and positive predictive values for detecting CMR channels were 61.8% and 51.6%, respectively. MDCT performance improved in patients with epicardial CMR channels (Se 80.5%) and transmural scars (Se 72.2%). In 4/11 (36%) patients with subendocardial myocardial infarction (MI), MDCT was unable to identify the AS. CONCLUSIONS: Compared to LGE-CMR, myocardial wall thickness assessment using MDCT fails to detect the presence of AS in 36% of patients with subendocardial MI, showing modest sensitivity identifying HTCs but a better performance in patients with transmural scars.