Long-term outcomes in Hodgkin lymphoma survivors. Temporary trends and comparison with general population.

The high cure rates of Hodgkin lymphoma (HL) make this oncological disease among those with the greatest number of long-term survivors. This single-institution study including 383 HL patients with up to 45 years of follow-up, analyses the morbidity and mortality of this population after treatments in comparison with the overall Spanish population, and investigates whether it has changed over time stratifying by periods of time, as a consequence of therapeutic optimization. The median age was 34.8 years (range 15-87) with median overall survival of 30 years, significantly higher in women (HR 0.58, 95% CI 0.42-0.79) (p = 0.0002). 185 late-stage diseases were noted (35% patients), cardiovascular disease (CVD) being the most frequent (23.2%). 30% of patients developed at least one second malignant neoplasm (SMN) to give a total of 174 SMNs. 20.9% of the patients died from HL and 67.0% died from non-HL causes (32.2% from SMN, 17% from CVD). The overall standardized mortality ratio (SMR) was 3.57 (95% CI: 3.0-4.2), with striking values of 7.73 (95% CI: 5.02-8.69) and of 14.75 (95% CI: 11.38-19.12) for women and patients <30 years at diagnosis, respectively. Excluding HL as the cause of death, the SMRs of those diagnosed before 2000 and from 2000 were proved to be similar (3.88 vs 2.73), maintaining in this last period an unacceptable excess of mortality due to secondary toxicity in patients cured of HL. Our study confirm that HL treatment substantially reduces the life expectancy of patients cured of HL. In recent periods, despite therapeutic optimization, deaths from toxicity continue to occur, mainly from CVD and SMN. Risk-factor monitoring should be intensified, prevention programs developed, and therapeutic optimization of LH investigated, especially in two vulnerable groups: those aged <30 years at diagnosis, and women.

Long-term follow-up of patients with nodular lymphocyte predominant Hodgkin lymphoma: A report from the Spanish Lymphoma Oncology Group.

Nodular lymphocytic predominance Hodgkin lymphoma (NLPHL) is a very uncommon subtype of Hodgkin lymphoma (HL), representing approximately 5% of all HL cases, with an incidence of 0.3/100,000 cases per year and with unique characteristics which distinguish it from classic Hodgkin lymphoma. Given its low frequency, there is a lack of prospective randomized studies to inform practice, the accumulated experience of academic groups being the main source of relevant information for the management of these patients. Eighty-five patients recruited by the Spanish Lymphoma Group (GOTEL) from 12 different hospitals were retrospectively analyzed to describe their sociodemographic and clinical characteristics. The median follow-up was 16 years, with a 10-year overall survive of 92.9% and 81.2% at 20 years. Five patients developed a second malignancy. No transformation to a more aggressive lymphoma was detected. A total of 31% tumor relapses was found: 77% in a single location; most of them at a supra-diaphragmatic level. Patients received different first-line treatments, and progression was observed in 3/4 (75%) of the patients who did not receive any type of treatment, 6/23 (26%) who received both chemotherapy (CH) and radiotherapy (RT), 12/43 (27%) who received RT and 7/15 (47%) that received only CH treatment. The mean time to relapse was 3 years and 47% presented relapses beyond 5 years (higher probability in stage IV p < 0.001). This is one of the longest follow-up series of NLPHL published, confirming its excellent prognosis, and that treatments may be adapted to reduce toxicity. Causes of death in these patients are varied, and the minority due to a primary malignancy relapses.

Quality of care assessment for non-small cell lung cancer patients: transforming routine care data into a continuous improvement system.

PURPOSE: The complexity of cancer care requires planning and analysis to achieve the highest level of quality. We aim to measure the quality of care provided to patients with non-small cell lung cancer (NSCLC) using the data contained in the hospital's information systems, in order to establish a system of continuous quality improvement. METHODS/PATIENTS: Retrospective observational cohort study conducted in a university hospital in Spain, consecutively including all patients with NSCLC treated between 2016 and 2020. A total of 34 quality indicators were selected based on a literature review and clinical practice guideline recommendations, covering care processes, timeliness, and outcomes. Applying data science methods, an analysis algorithm, based on clinical guideline recommendations, was set up to integrate activity and administrative data extracted from the Electronic Patient Record along with clinical data from a lung cancer registry. RESULTS: Through data generated in routine practice, it has been feasible to reconstruct the therapeutic trajectory and automatically calculate quality indicators using an algorithm based on clinical practice guidelines. Process indicators revealed high adherence to guideline recommendations, and outcome indicators showed favorable survival rates compared to previous data. CONCLUSIONS: Our study proposes a methodology to take advantage of the data contained in hospital information sources, allowing feedback and repeated measurement over time, developing a tool to understand quality metrics in accordance with evidence-based recommendations, ultimately seeking a system of continuous improvement of the quality of health care.

Patterns and outcome of unplanned care in lung cancer patients: an observational study in a medical oncology department.

Background: There is increasing interest in unplanned care utilization among lung cancer patients and its evaluation should allow the identification of areas for quality improvement. Being a major priority for transformation in oncology, we aim to measure the risk and burden of unplanned care in a medical oncology department and identify factors that determine acute care. Methods: This was an observational retrospective cohort study that included all lung cancer patients treated at Puerta de Hierro-Majadahonda University Hospital between January 1st 2016 and December 31st 2020. Data cut off: June 30th, 2021. The main objective was to assess the incidence of unplanned care, emergency department (ED) visits and unplanned hospital admissions, from the first visit to the medical oncology service and its potential conditioning variables, considering patient death as a competitive event. As secondary objectives, a description and a quality of unplanned care evaluation was carried out. Results: A total of 821 lung cancer patients, all histologies and stages, were included (median follow-up: 32.8 months). Six hundred and eighty-one patients required consultation in the ED (82.9%), and 558 required an unplanned admission (68%). Eighty-six percent of ED consultations and 80.9% of unplanned hospital admissions were related to cancer or its treatment. The 1-year cumulative incidence for ED consultation and for unplanned hospital admission was 71.3% (95% CI: 67.8-74.5%) and 56.7% (95% CI: 53-60%), respectively. In the multivariable analysis, a higher tumor stage increased the risk of consultation in the ED, while a higher stage, Eastern Cooperative Oncology Group performance status (ECOG PS) 2 compared to ECOG PS 0, male sex, opioid or steroid use at first consultation increased the risk of unplanned admission. Conclusions: Our study shows that lung cancer patients have an extremely high demand for unplanned care. It is an early need and related to cancer in the majority of consultations and admissions and therefore a key issue for the management of oncology departments. We must optimize the follow-up of patients with a higher risk of unplanned care, advanced lung cancer or symptomatic patients, incorporating remote monitoring strategies and early interventions, as developing specific urgent care pathways for a better comprehensive cancer care.

Checkpoint inhibitor-induced fulminant myocarditis, complete atrioventricular block and myasthenia gravis-a case report.

Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy over the last decade. Pembrolizumab, a humanized monoclonal IgG4 antibody, binds to the programmed death 1 (PD-1) receptor, blocking its interaction with programmed death-ligand 1 (PD-L1) and thereby increasing the anti-tumor activity of the host immune system. These drugs are associated with immune-mediated side effects that can be life threatening, and myocarditis is among the most serious events. We present a 48-year-old woman with a history of progressive thymoma who developed complete atrioventricular block associated with fulminant myocarditis and myasthenia gravis 2 weeks after starting treatment with pembrolizumab. She had also presented a couple of days before to the emergency department due to dyspnea that was related to pleural effusion. Electrocardiogram (ECG) and echocardiogram were unremarkable, but she had very mildly increased troponin levels that were attributed to acute respiratory compromise, so she was discharged after successful thoracentesis. Despite aggressive treatment combination of high-dose corticosteroids, immunosuppressive agents and anti-thymocyte globulin, the disease rapidly progressed to the fatal outcome. This report remarks on the importance of rapid consideration of ICI-induced myocarditis even if cardiac biomarkers are slightly elevated, as a mild presentation can go unnoticed and progress to a severe case. Therefore, a high index of suspicion is warranted in these patients and cardiac imaging techniques such as magnetic resonance could have a role diagnosing incipient cardiac inflammation.

Reconstructing the patient's natural history from electronic health records.

The automatic extraction of a patient's natural history from Electronic Health Records (EHRs) is a critical step towards building intelligent systems that can reason about clinical variables and support decision making. Although EHRs contain a large amount of valuable information about the patient's medical care, this information can only be fully understood when analyzed in a temporal context. Any intelligent system should then be able to extract medical concepts, date expressions, temporal relations and the temporal ordering of medical events from the free texts of EHRs; yet, this task is hard to tackle, due to the domain specific nature of EHRs, writing quality and lack of structure of these texts, and more generally the presence of redundant information. In this paper, we introduce a new Natural Language Processing (NLP) framework, capable of extracting the aforementioned elements from EHRs written in Spanish using rule-based methods. We focus on building medical timelines, which include disease diagnosis and its progression over time. By using a large dataset of EHRs comprising information about patients suffering from lung cancer, we show that our framework has an adequate level of performance by correctly building the timeline for 843 patients from a pool of 989 patients, achieving a precision of 0.852.