Radiomics and Clinical Data for the Diagnosis of Incidental Pulmonary Nodules and Lung Cancer Screening: Radiolung Integrative Predictive Model.

INTRODUCTION: Early diagnosis of lung cancer (LC) is crucial to improve survival rates. Radiomics models hold promise for enhancing LC diagnosis. This study assesses the impact of integrating a clinical and a radiomic model based on deep learning to predict the malignancy of pulmonary nodules (PN). METHODOLOGY: Prospective cross-sectional study of 97 PNs from 93 patients. Clinical data included epidemiological risk factors and pulmonary function tests. The region of interest of each chest CT containing the PN was analysed. The radiomic model employed a pre-trained convolutional network to extract visual features. From these features, 500 with a positive standard deviation were chosen as inputs for an optimised neural network. The clinical model was estimated by a logistic regression model using clinical data. The malignancy probability from the clinical model was used as the best estimate of the pre-test probability of disease to update the malignancy probability of the radiomic model using a nomogram for Bayes' theorem. RESULTS: The radiomic model had a positive predictive value (PPV) of 86%, an accuracy of 79% and an AUC of 0.67. The clinical model identified DLCO, obstruction index and smoking status as the most consistent clinical predictors associated with outcome. Integrating the clinical features into the deep-learning radiomic model achieves a PPV of 94%, an accuracy of 76% and an AUC of 0.80. CONCLUSIONS: Incorporating clinical data into a deep-learning radiomic model improved PN malignancy assessment, boosting predictive performance. This study supports the potential of combined image-based and clinical features to improve LC diagnosis.

Intervention to reduce the incidence of non-ventilator-associated hospital-acquired pneumonia: A pilot study.

BACKGROUND: Our aim was to evaluate the effectiveness of an intervention to reduce the incidence of non-ventilator-associated hospital-acquired pneumonia (NV-HAP) and determine compliance with preventive measures. METHODS: This was a quasi-experimental before-after study involving patients in the 53-bed Internal Medicine ward in a university hospital in Spain. The preventive measures included hand hygiene, dysphagia detection, head-of-bed elevation, withdrawal of sedatives in the event of confusion, oral care, and sterile or bottled water use. A prospective post-intervention study of the incidence of NV-HAP was carried out from February 2017 to January 2018 and compared with baseline incidence (May 2014 to April 2015). Compliance with preventive measures was analyzed with 3-point-prevalence studies (December 2015, October 2016, and June 2017). RESULTS: The rate of NV-HAP decreased from 0.45 cases (95% confidence interval 0.24-0.77) in the pre-intervention period to 0.18 cases per 1,000 patient-days (95% confidence interval 0.07-0.39) in the post-intervention period (P = .07). Compliance with most preventive measures improved after intervention and remained stable over time. CONCLUSIONS: The strategy improved the adherence to most of the preventive measures, with a decrease in the incidence of NV-HAP. Efforts to enhance adherence to such fundamental preventive measures are critical to lowering the incidence of NV-HAP.

Pleuroparenchymal Fibroelastosis: A New Entity within the Spectrum of Rare Idiopathic Interstitial Pneumonias.

Pleuroparenchymal fibroelastosis (PPFE) is a rare entity that has been recently included in the official American Thoracic Society/European Respiratory Society (ATS/ERS) statement in 2013 as a group of rare idiopathic interstitial pneumonias (IIPs). PPFE is characterized by pleural and subpleural parenchymal thickening due to elastic fiber proliferation, mainly in the upper lobes. The etiology of the disease is unclear, although some cases have been associated as a complication after bone marrow transplantation, lung transplantation (LT), chemotherapy, and recurrent respiratory infections. The patients usually report progressive dyspnea and dry cough and are predisposed to develop spontaneous or iatrogenic pneumothoraces after surgical lung biopsy (SLB) for its diagnosis. That is why better awareness with the clinical and radiologic features can help optimal management by the multidisciplinary team. Novel invasive techniques such as cryobiopsy may become useful tools in these patients as it could spare SLB. We present the first reported cases in Spain.

Risk factors for hospital-acquired pneumonia outside the intensive care unit: a case-control study.

BACKGROUND: Hospital-acquired pneumonia (HAP) is one of the leading nosocomial infections and is associated with high morbidity and mortality. Numerous studies on HAP have been performed in intensive care units (ICUs), whereas very few have focused on patients in general wards. This study examined the incidence of, risk factors for, and outcomes of HAP outside the ICU. METHODS: An incident case-control study was conducted in a 600-bed hospital between January 2006 and April 2008. Each case of HAP was randomly matched with 2 paired controls. Data on risk factors, patient characteristics, and outcomes were collected. RESULTS: The study group comprised 119 patients with HAP and 238 controls. The incidence of HAP outside the ICU was 2.45 cases per 1,000 discharges. Multivariate analysis identified malnutrition, chronic renal failure, anemia, depression of consciousness, Charlson comorbidity index ≥3, previous hospitalization, and thoracic surgery as significant risk factors for HAP. Complications occurred in 57.1% patients. The mortality attributed to HAP was 27.7%. CONCLUSIONS: HAP outside the ICU prevailed in patients with malnutrition, chronic renal failure, anemia, depression of consciousness, comorbidity, recent hospitalization, and thoracic surgery. HAP in general wards carries an elevated morbidity and mortality and is associated with increased length of hospital stay and increased rate of discharge to a skilled nursing facility.

[Usefulness of a lung cancer rapid diagnosis specialist clinic. Contribution of ultrasound bronchoscopy]. / Utilidad de una consulta monográfica de diagnóstico rápido de cáncer de pulmón. Aportaciones de la ecobroncoscopia.

OBJECTIVE: To analyse the results obtained in the diagnosis and staging of lung cancer (LC) by a Lung Cancer Rapid Diagnosis Unit (LC-RDU) in which real-time endobronchial ultrasound-guided transbronchial needle aspiration (RT-EBUS guided-TBNA) is performed as part of the clinical evaluation of the patient prior to treatment. METHOD: A four year observational study was conducted on a group of patients evaluated due to suspicion of LC in an LC-RDU. The times and the techniques required for the diagnosis and identifying the level of the disease in the initial staging were recorded. RESULTS: Out of a total of 678 patients seen in the LC-RDU, the diagnosis in 352 was confirmed in one or more histopathology samples. In 170 patients (48.2%) the diagnosis was made with biopsies and/ or cytology samples obtained by fibrobronchoscopy, and RT-EBUS guided-TBNA confirmed the clinical suspicion in 70 patients (19.9%). In the 280 patients with SCLC, 166 RT-EBUS guided-TBNA were performed for staging (59.3%), and in 105 of them the technique only showed local disease (37.5%). Therapeutic surgery was performed on 83 of these patients, and was radical in 73 cases (87.9%). CONCLUSION: In half of the patients referred to the LC-RDU due to suspected LC, the diagnosis was confirmed in 75% of cases using endoscopic techniques. RT-EBUS guided-TBNA was the diagnostic technique in 20% of the cases, for staging in more than half of them, and led to reduced waiting times for the diagnosis and starting treatment.