Effect of an algorithm for automatic placing of standardised test order sets on low-value appointments and attendance rates at four Spanish teaching hospitals: an interrupted time series analysis.

OBJECTIVE: Reducing backlogs for elective care is a priority for healthcare systems. We conducted an interrupted time series analysis demonstrating the effect of an algorithm for placing automatic test order sets prior to first specialist appointment on avoidable follow-up appointments and attendance rates. DESIGN: Interrupted time series analysis. SETTING: 4 academic hospitals from Madrid, Spain. PARTICIPANTS: Patients referred from primary care attending 10 033 470 outpatient appointments from 16 clinical specialties during a 6-year period (1 January 2018 to 30 June 2023). INTERVENTION: An algorithm using natural language processing was launched in May 2021. Test order sets developed for 257 presenting complaints from 16 clinical specialties were placed automatically before first specialist appointments to increase rates of diagnosis and initiation of treatment with discharge back to primary care. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes included rate of diagnosis and discharge to primary care and follow-up to first appointment index. The secondary outcome was trend in 'did not attend' rates. RESULTS: Since May 2021, a total of 1 175 814 automatic test orders have been placed. Significant changes in trend of diagnosis and discharge to primary care at first appointment (p=0.005, 95% CI 0.5 to 2.9) and 'did not attend' rates (p=0.006, 95% CI -0.1 to -0.8) and an estimated attributable reduction of 11 306 avoidable follow-up appointments per month were observed. CONCLUSION: An algorithm for placing automatic standardised test order sets can reduce low-value follow-up appointments by allowing specialists to confirm diagnoses and initiate treatment at first appointment, also leading to early discharge to primary care and a reduction in 'did not attend' rates. This initiative points to an improved process for outpatient diagnosis and treatment, delivering healthcare more effectively and efficiently.

Blood Predictive Biomarkers for Patients With Non-small-cell Lung Cancer Associated With Clinical Response to Nivolumab.

BACKGROUND: Immunotherapy is a promising cancer treatment, but surrogate biomarkers of clinical efficacy have not been fully validated. The aim of this work was to evaluate several biomarkers as predictors of response to nivolumab monotherapy in patients with non-small-cell lung cancer. PATIENTS AND METHODS: Blood samples was collected at baseline, at 2 months after treatment start, and at disease progression. Lactate dehydrogenase level (LDH), neutrophils, and leukocyte values were obtained from medical record. Interleukin (IL)-8, IL-11, and kynurenine/tryptophan levels were determined by enzyme-linked immunosorbent assay. Total protein was extracted from circulating CD8+ T cells, and BCL-2 interacting mediator of cell death (BIM) protein expression tested by western blotting. RESULTS: Baseline LDH levels were significantly higher in non-responder patients than in those who responded (P = .045). The increase in indoleamine 2,3 dioxygenase activity was related to progression of disease, mainly in patients who did not respond to nivolumab treatment (P = .001). Increased levels of circulating IL-8 were observed in initially responding patients at time of progression, and it was related to lower overall survival (hazard ratio, 7.49; P = .025). A highest expression of BIM in circulating CD8+ T cells could be related to clinical benefit. The Student t test and Mann-Whitney U test were used to compare groups for continuous variables. Time to events was estimated using the Kaplan-Meier method, and compared by the log-rank test. CONCLUSIONS: Changes in plasma LDH and IL-8, indoleamine 2,3 dioxygenase activity, and BIM expression in CD8+ T cells could be used to monitor and predict clinical benefit from nivolumab treatment in these patients.

Estudio de 5 compuestos orgánicos volátiles en aire exhalado en la enfermedad pulmonar obstructiva crónica / Study of 5 Volatile Organic Compounds in Exhaled Breath in Chronic Obstructive Pulmonary Disease

Introducción: Un factor de riesgo importante para el desarrollo de la enfermedad pulmonar obstructiva crónica (EPOC) es el humo del tabaco, que genera estrés oxidativo en las vías respiratorias, dando lugar a la producción de compuestos orgánicos volátiles (VOC). El objetivo del trabajo es su identificación en el aire exhalado y su posible utilidad como biomarcadores de la enfermedad. Método: Se analizó el aire exhalado de 100 voluntarios sanos, clasificados en 3 grupos (no fumadores, exfumadores y fumadores activos) y un grupo de 57 pacientes con EPOC. La muestra de aire exhalado se recogió mediante BioVOC® y se traspasó a tubos de desorción para su posterior análisis por cromatografía de gases y espectrometría de masas. Los VOC analizados fueron aldehídos lineales y ácidos carboxílicos. Resultados: Hexanal mostró diferencias estadísticamente significativas entre el grupo EPOC y los controles sanos (no fumadores y exfumadores), y nonanal entre el grupo control no fumador y el grupo EPOC. Conclusiones: Hexanal discrimina entre pacientes con EPOC y controles sanos no fumadores y exfumadores. Nonanal diferencia entre fumadores y exfumadores (con o sin EPOC) frente a controles no fumadores

Introduction: A major risk factor for chronic obstructive pulmonary disease (COPD) is tobacco smoke, which generates oxidative stress in airways, resulting in the production of volatile organic compounds (VOC). The purpose of this study was to identify VOCs in exhaled breath and to determine their possible use as disease biomarkers. Method: Exhaled breath from 100 healthy volunteers, divided into 3 groups (never smokers, former smokers and active smokers) and exhaled breath from 57 COPD patients were analyzed. Samples were collected using BioVOC® devices and transferred to universal desorption tubes. Compounds were analyzed by thermal desorption, gas chromatography and mass spectrometry. VOCs analyzed were linear aldehydesand carboxylic acids. Results: The COPD group and healthy controls (never smokers and former smokers) showed statistically significant differences in hexanal concentrations, and never smokers and the COPD group showed statistically significant differences in nonanal concentrations. Conclusions: Hexanal discriminates between COPD patients and healthy non-smoking controls. Nonanal discriminates between smokers and former smokers (with and without COPD) and never smokers

Study of 5 Volatile Organic Compounds in Exhaled Breath in Chronic Obstructive Pulmonary Disease. / Estudio de 5 compuestos orgánicos volátiles en aire exhalado en la enfermedad pulmonar obstructiva crónica.

INTRODUCTION: A major risk factor for chronic obstructive pulmonary disease (COPD) is tobacco smoke, which generates oxidative stress in airways, resulting in the production of volatile organic compounds (VOC). The purpose of this study was to identify VOCs in exhaled breath and to determine their possible use as disease biomarkers. METHOD: Exhaled breath from 100 healthy volunteers, divided into 3groups (never smokers, former smokers and active smokers) and exhaled breath from 57 COPD patients were analyzed. Samples were collected using BioVOC® devices and transferred to universal desorption tubes. Compounds were analyzed by thermal desorption, gas chromatography and mass spectrometry. VOCs analyzed were linear aldehydesand carboxylic acids. RESULTS: The COPD group and healthy controls (never smokers and former smokers) showed statistically significant differences in hexanal concentrations, and never smokers and the COPD group showed statistically significant differences in nonanal concentrations. CONCLUSIONS: Hexanal discriminates between COPD patients and healthy non-smoking controls. Nonanal discriminates between smokers and former smokers (with and without COPD) and never smokers.

The urological referral process from primary health care. Reflections on referral criteria.

OBJECTIVES: The flow of patients between Primary Care (PC) and Specialized care (SC) is a common process. It carries many implications for the patient, physician and health system. In Urology, only benign prostatic hyperplasia (BPH) has referral criteria. Urinary incontinence, prostate cancer (PCa), and urological ultrasound, are in the process. The aim of this paper is to communicate, with critical analysis, the characteristics of the information recorded in the referral visit (clinical reasons / rationale) and the effectiveness for urology consultation. METHODS: Observational, descriptive and quantitative study of the referral visits made between PC/SC (Urology) in the health care area of our hospital (December 2010-September 2012). We studied: Referral Visit Database (RVD), consultation document, HORUS system, and specific referral visit survey questionnaire. RESULTS. Referral visits account for 67.89% (all first consultations), 14.79% of the total number of visits. 78% were male (mean age 53 y.o). 11.84% recorded reason for consultation (98% in referral document) with normal priority (94.67%). 34% of them were for BPH. HORUS is not exploited for the referral visit. 40% start the diagnostic process with insufficient exams. 18.1% are listed as closed process / completed. Patient satisfaction was evaluated (20%). Key points in the improvement are: improve referral visit reason for consultations, to know patient's expectations, and to develop protocols (guidelines, and/or referral criteria). CONCLUSIONS. The referral process is complex. The computer system does not include the referral reason for consultation. Institutional agreement between PC/SC Urology must be reached to ensure uniformity in the implementation and support.

El proceso de la derivación urológica desde atención primaria (AP), Reflexión sobre los criterios / No disponible

OBJETIVO: La derivación de pacientes entre la Atención Primaria (AP) y la Especializada (AE) es un proceso común. Conlleva múltiples implicaciones para el paciente, médico y sistema sanitario. En Urología, sólo la Hiperplasia Benigna de Próstata (HBP) posee criterios de derivación. La incontinencia urinaria, el cáncer de próstata (CaP), y la ecografía urológica, están en proceso. El objetivo de este trabajo es comunicar con análisis crítico, las características de la información que se registra de la consulta de derivación CD (motivos clínicos/justificación) y la eficacia que provoca para la consulta del urólogo. MÉTODO: Se realiza estudio observacional, descriptivo y cuantitativo de las CD realizados entre AP/AEUrol (Urología), en el área sanitaria de nuestro hospital (Dic2010-Sep2012). Se estudia: Base de Datos CD (BD), documento interconsulta, sistema HORUS, y CSDerUrol (cuestionario-encuesta específico). RESULTADOS: La CD supone el 67,89% (total primeras consultas), el 14,79% de total de consultas. El 78% son varones (edad media 53a). El 11,84% registra motivo de consulta (98% en documento interconsulta), con prioridad normal (94,67%). El 34% es HBP. HORUS no se explota para la CD. El 40% inicia proceso de diagnóstico, con exploraciones insuficientes. El 18,1% consta como proceso cerrado/concluido. La satisfacción del paciente se recoge (20%). Puntos clave para la mejora son: mejorar los motivos CD, conocer las expectativas del paciente, y la creación de protocolos (guías de actuación y/o criterios de derivación). CONCLUSIONES: El proceso de derivación es complejo. El sistema informático no incluyen el motivo clínico de la CD. Se deben alcanzar acuerdos institucionales AP/ AEUrol que garanticen la implementación y uniformidad a la asistencia

OBJECTIVES: The flow of patients between Primary Care (PC) and Specialized care (SC) is a common process. It carries many implications for the patient, physician and health system. In Urology, only benign prostatic hyperplasia (BPH) has referral. and urological ultrasound, are in the process. The aim of this paper is to communicate, with critical analysis, the characteristics of the information recorded in the referral visit (clinical reasons / rationale) and the effectiveness for urology consultation. METHODS: Observational, descriptive and quantitative study of the referral visits made between PC/SC (Urology) in the health care area of our hospital (December 2010-September 2012). We studied: Referral Visit Database (RVD), consultation document, HORUS system, and specific referral visit survey questionnaire. RESULTS: Referral visits account for 67.89% (all first consultations), 14.79% of the total number of visits. 78% were male (mean age 53 y.o). 11.84% recorded reason for consultation (98% in referral document) with normal priority (94.67%). 34% of them were for BPH. HORUS is not exploited for the referral visit. 40% start the diagnostic process with insufficient exams. 18.1% are listed as closed process / completed. Patient satisfaction was evaluated (20%). Key points in the improvement are: improve referral visit reason for consultations, to know patient's expectations, and to develop protocols (guidelines, and/or referral criteria). CONCLUSIONS: The referral process is complex. The computer system does not include the referral reason for consultation. Institutional agreement between PC/SC Urology must be reached to ensure uniformity in the implementation and support