Resuscitation outcomes in patients with cancer: experience in a large urban cancer centre.

PURPOSE: Hospitalized patients with cancer who experience cardiopulmonary arrest have historically low survival rates. This retrospective cohort study describes outcomes of patients at a large Canadian cancer centre who had a "code medical emergency" activated, and the use of pragmatic criteria to identify patients with poor survival following resuscitation. METHODS: We included hospitalized patients with cancer who had a "code blue" activated between January 2007 and December 2018. Our primary outcome was intensive care unit (ICU) mortality. We developed pragmatic criteria to identify patients with "poor prognosis" for survival from cardiopulmonary resuscitation (CPR) based on disease status and candidacy for further cancer treatment. We used descriptive statistics to analyze the outcomes of poor prognosis patients. RESULTS: Two hundred and twenty-five patients had a code blue activated. The median age was 61 yr, 52% were male, and 48% had a solid tumour. Overall, 173/225 (77%) patients survived the code blue; 164 were admitted to the ICU, where 49% (81/164) died; 31% survived to hospital discharge; and 16% (n = 27) were alive at one year. One hundred and twenty out of 225 (53%) required chest compressions; spontaneous circulation returned in 61% (73/120), and 12% (14/120) survived to hospital discharge. Patients meeting "poor prognosis" criteria (114, 51%) were more likely to die in the ICU (64% vs 35%; P < 0.001) or in hospital (86% vs 59%; P < 0.001), and more often had goals-of-care discussions prior to the code blue (46% vs 7%; P < 0.001). At one year, only 2% of poor prognosis patients were alive, compared with 24% of patients who did not meet any poor prognosis criteria. CONCLUSION: Hospitalized patients with cancer requiring CPR have poor hospital and long-term outcomes. The proposed set of pragmatic criteria may be useful to identify patients unlikely to benefit from CPR and life support, to trigger early goals of care discussions, and to avoid potentially goal-discordant interventions.

RéSUMé: OBJECTIF: Les patient·es hospitalisé·es atteint·es d'un cancer qui subissent un arrêt cardiorespiratoire ont des taux de survie historiquement bas. Cette étude de cohorte rétrospective décrit les issues des patient·es d'un grand centre canadien de cancérologie pour qui un « code d'urgence médicale ¼ a été activé et l'utilisation de critères pragmatiques pour identifier les patient·es ayant une faible survie après réanimation. MéTHODE: Nous avons inclus les personnes hospitalisées atteintes d'un cancer pour qui un « code bleu ¼ avait été activé entre janvier 2007 et décembre 2018. Notre critère d'évaluation principal était la mortalité à l'unité de soins intensifs (USI). Nous avons développé des critères pragmatiques pour identifier les personnes ayant un « mauvais pronostic ¼ de survie à la réanimation cardiorespiratoire (RCR) en fonction de l'état de la maladie et de leur éligibilité à un traitement ultérieur contre le cancer. Nous avons utilisé des statistiques descriptives pour analyser les issues des patient·es ayant un mauvais pronostic. RéSULTATS: Un code bleu a été activé pour deux cent vingt-cinq patient·es. L'âge médian était de 61 ans, 52 % étaient des hommes et 48 % avaient une tumeur solide. Dans l'ensemble, 173/225 (77 %) patient·es ont survécu au code bleu; 164 ont été admis·es aux soins intensifs, où 49 % (81/164) sont décédé·es; 31 % ont survécu jusqu'à leur congé de l'hôpital; et 16 % (n = 27) étaient en vie après un an. Cent vingt sur 225 (53 %) ont nécessité des compressions thoraciques; la circulation spontanée est revenue chez 61 % (73/120), et 12 % (14/120) ont survécu jusqu'à leur congé de l'hôpital. Les patient·es répondant aux critères de « mauvais pronostic ¼ (114, 51 %) étaient plus susceptibles de mourir à l'USI (64 % vs 35 %; P < 0,001) ou à l'hôpital (86 % vs 59 %; P < 0,001) et avaient plus souvent eu des discussions sur les objectifs de soins avant l'activation du code bleu (46 % vs 7 %; P < 0,001). À un an, seulement 2 % des patient·es ayant un mauvais pronostic étaient en vie, contre 24 % des patient·es qui ne présentaient aucun critère de mauvais pronostic. CONCLUSION: Les personnes hospitalisées atteintes d'un cancer nécessitant une RCR ont de mauvaises issues intra-hospitalières et à plus long terme. L'ensemble de critères pragmatiques proposé peut être utile pour identifier la patientèle peu susceptible de bénéficier de la RCR et du maintien des fonctions vitales, pour amorcer rapidement des discussions sur les objectifs de soins et pour éviter les interventions potentiellement discordantes par rapport à ces objectifs.

Strongyloidiasis: what every gastroenterologist needs to know.

Strongyloidiasis is caused by the intestinal roundworm, Strongyloides stercoralis, which has the potential for fatal outcome. It may present with vague gastrointestinal symptoms and mimic gastrointestinal diseases such as inflammatory bowel disease, and as such, it should be in the purview of the gastroenterologist. While strongyloidiasis is generally asymptomatic or produces mild symptoms in patients with an intact immune system, individuals who are immunocompromised may develop life-threatening disease through hyperinfection syndrome and disseminated disease. The worm has a complex lifecycle and is able to autoinfect its host, thereby allowing indefinite persistence even decades after initial infection. This leads to cases where travelers, and those who lived in endemic countries, may present years after travel. With its features of prolonged infection, relatively high global prevalence, and potential for fatal outcomes, it is imperative for all clinicians to be aware of this disease. Owing to its involvement with the gastrointestinal system, however, we will outline salient points about strongyloidiasis for the gastroenterologist.

Implementation and evaluation of a quality and safety tool for ambulatory strongyloidiasis patients at high risk of adverse outcome.

BACKGROUND: Strongyloidiasis is a common infection in Canadian migrants that can cause life-threatening hyperinfection in immunosuppressed hosts. We designed and implemented a safety tool to guide management of patients with Strongyloides in order to prevent adverse outcomes. Methods: Patients treated at our centre for strongyloidiasis from January 1, 2013 to December 31, 2015 were identified through our ivermectin access log. Patients were categorized into pre-implementation and post-implementation groups. A retrospective chart review for predefined variables was conducted. RESULTS: Of 37 patients with strongyloidiasis, 26 were in the pre-implementation group and 11 were in the post-implementation group. Documented seroreversion (positive to negative) occurred in 42.1% of patients pre-implementation and 62.5% of patients post-implementation (p = 0.420). Documented stool clearance occurred in 80.0% of patients pre-implementation and 100.0% of patients post-implementation (p = 1.000). More patients were screened for HTLV-1 coinfection post-implementation (80.0%) versus pre-implementation (30.8%) (p = 0.011). Loss to follow-up after treatment occurred in 23.1% of patients pre-implementation and 20.0% of patients post-implementation (p = 1.000). CONCLUSIONS: The safety tool may be useful in the treatment of patients with strongyloidiasis to improve documentation of patient outcomes and standardize care. Future research should include a powered prospective study.

Development and prospective evaluation of CAPLET, a cancer ambulatory patient physical function longitudinal evaluation tool for routine clinical practice.

PURPOSE: A patient's physical function is a critical outcome variable for measuring and improving chronic care management. However, patient-reported outcome measures of physical function are not routinely assessed in cancer outpatients, in part due to limitations of tools available. This study presents the development and evaluation of the Cancer Ambulatory Patient Physical Function Longitudinal Evaluation Tool (CAPLET) as an adaptive response tool for routinely screening for physical dysfunction in oncology clinical practice. METHODS: In phase 1, 407 adult outpatients at Princess Margaret Cancer Centre completed the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, Health Assessment Questionnaire Disability Index (HAQ-DI), EuroQuol-5D-3L ( EQ-5D-3L), and patient-reported outcome (PRO)-Eastern Cooperative Oncology Group (ECOG). CAPLET was developed based on a branching logic algorithm navigating patients to appropriate domains of HAQ-DI/WHOAS using their responses to the PRO-ECOG/EQ-5D-3L as screeners. Sensitivity/specificity of CAPLET screeners for HAQ-DI/WHODAS items were reported. In phase 2, CAPLET vs the WHODAS/HAQ-DI were alternatively administrated to 318 adult outpatients in a two-arm trial comparing time to completion and acceptability between the tools. RESULTS: Using a patient's ECOG status and the sum of the mobility, self-care, and usual activity dimensions of the EQ-5D-3L to dichotomize patients as with or without difficulty, CAPLET achieved a sensitivity > 90% against recommended WHODAS and HAQ-DI cutoffs for significant dysfunction. Sensitivity of screeners for capturing dysfunction in individual WHODAS/HAQ-DI items ranged from 85 to 100%. Compared to the HAQ-DI/WHODAS, CAPLET was associated with a 50% reduction in administration times and improved patient acceptability, while reducing question burden by 84% for half the sample population. CONCLUSIONS: CAPLET improves the feasibility of capturing detailed assessments of patient-reported physical function in cancer outpatients.