Risk of critical illness among patients with solid cancers: a population-based observational study of 118,541 adults

Importance: Critical illness may be a potential determinant of cancer outcomes and geographic variations, but its role has not been described before. Objective: To determine the incidence of admission to intensive care units (ICUs) within 2 years following cancer diagnosis. Design, Setting, and Participants: This was a retrospective observational study using cancer registry data in 4 datasets from 2000 to 2009 with linked ICU admission data from 2000 to 2011, in the West of Scotland region of the United Kingdom (population, 2.4 million; all 16 ICUs within the region). All 118 541 patients (≥16 years) diagnosed as having solid (nonhematological) cancers. Their median age was 69 years, and 52.0% were women. Main Outcomes and Measures: Demographic and clinical variables associated with admission to an ICU and death in an ICU. Results: A total of 118 541 patients met the study criteria. Overall, 6116 patients (5.2% [95% CI, 5.0%-5.3%]) developed a critical illness and were admitted to an ICU within 2 years. Risk of critical illness was highest at ages 60 to 69 years and higher in men. The cumulative incidence of critical illness was greatest for small intestinal (17.2% [95% CI, 13.3%-21.8%]) and colorectal cancers (16.5% [95% CI, 15.9%-17.1%]). The risk following breast cancer was low (0.8% [95% CI, 0.7%-1.0%]). The percentage who died in ICUs was 14.1% (95% CI, 13.3%-15.0%), and during the hospital stay, 24.6% (95% CI, 23.5%-25.7%). Mortality was greatest among emergency medical admissions and lowest among elective surgical patients. The risk of critical illness did not vary by socioeconomic circumstances, but mortality was higher among patients from deprived areas. Conclusions and Relevance: In this study, about 1 in 20 patients experienced a critical illness resulting in ICU admission within 2 years of cancer diagnosis. The associated high mortality rate may make a significant contribution to overall cancer outcomes

Characteristics and outcomes of surgical patients with solid cancers admitted to the intensive care unit

Within the surgical population admitted to intensive care units (ICUs), cancer is a common condition. However, clinicians can be reluctant to admit patients with cancer to ICUs owing to concerns about survival. To compare the clinical characteristics and outcomes of surgical patients with and without cancer who are admitted to ICUs. An observational retrospective cohort study using ICU audit records linked to hospitalization discharge summaries, cancer registrations, and death records of all 16 general adult ICUs in the West of Scotland was conducted. All 25 017 surgical ICU admissions between January 1, 2000, and December 31, 2011, were included, and data analysis was conducted during that time. Patients were dichotomized based on a diagnosis of a solid malignant tumor as determined by its documentation in the Scottish Cancer Registry within the 2 years prior to ICU admission. Intensive care unit patients with cancer were compared with ICU patients without cancer in terms of patient characteristics (age, sex, severity of illness, reason for admission, and organ support) and survival (ICU, hospital, 6 months, and 4 years). Within the 25 017 surgical ICU patients, 13 684 (54.7%) were male, the median (interquartile range [IQR]) age was 64 (50-74), and 5462 (21.8%) had an underlying solid tumor diagnosis. Patients with cancer were older (median [IQR] age, 68 [60-76] vs 62 [45-74] years; P < .001) with a higher proportion of elective hospitalizations (60.5% vs 19.8%; P < .001), similar Acute Physiology and Chronic Health Evaluation II scores (median for both, 17), but lower use of multiorgan support (57.9% vs 66.7%; P < .001). Intensive care unit and hospital mortality were lower for the cancer group, at 12.2% (95% CI, 11.3%-13.1%) vs 16.8% (95% CI, 16.3%-17.4%) (P < .001) and 22.9% (95% CI, 21.8%-24.1%) vs 28.1% (27.4%-28.7%) (P < .001). Patients with cancer had an adjusted odds ratio for hospital mortality of 1.09 (95% CI, 1.00-1.19). By 6 months, mortality in the cancer group was higher than that in the noncancer group at 31.3% compared with 28.2% (P < .001). Four years after ICU admission, mortality for those with and without cancer was 60.9% vs 39.7% (P < .001) respectively. Cancer is a common diagnosis among surgical ICU patients and this study suggests that initial outcomes compare favorably with those of ICU patients with other conditions. Consideration that a diagnosis of cancer should not preclude admission to the ICU in patients with surgical disease is suggested

Factors associated with intensive care admission in patients with lung cancer: a population-based observational study of 26, 731 patients

Background: Lung cancer is the most common cause of cancer related death worldwide and survival is poor. Patients with lung cancer may develop a critical illness, but it is unclear what features are associated with an Intensive Care Unit (ICU) admission. Methods: This retrospective, observational, population-based study of linked cancer registration, ICU, hospital discharge and mortality data described the factors associated with ICU admission in patients with lung cancer. The cohort comprised all incident cases of adult lung cancer diagnosed between 1st January 2000 and 31st December 2009 in the West of Scotland, UK, who were subsequently admitted to an ICU within 2 years of cancer diagnosis. Multiple logistic regression was used to determine factors associated with admission. Results: 26,731 incident cases of lung cancer were diagnosed with 398 (1.5%) patients admitted to an ICU. Patients were most commonly admitted with respiratory conditions and there was a high rate of invasive mechanical ventilation. ICU, in-hospital and six-month survival were 58.5, 42.0 and 31.2%, respectively. Surgical treatment of lung cancer increased the odds of ICU admission (OR 7.23 (5.14–10.2)). Odds of admission to ICU were reduced with older age (75-80 years OR 0.69 (0.49–0.94), > 80 years OR 0.21 (0.12–0.37)), female gender (OR 0.73 (0.59–0.90)) and radiotherapy (OR 0.54 (0.39–0.73)) or chemotherapy treatment (OR 0.52 (0.38–0.70)). Conclusion: 1.5% of patients diagnosed with lung cancer are admitted to an ICU but both short term and long term survival was poor. Factors associated with ICU admission included age < 75 years, male gender and surgical treatment of cancer

The modified Glasgow prognostic score in prostate cancer: results from a retrospective clinical series of 744 patients

<p>Background: As the incidence of prostate cancer continues to rise steeply, there is an increasing need to identify more accurate prognostic markers for the disease. There is some evidence that a higher modified Glasgow Prognostic Score (mGPS) may be associated with poorer survival in patients with prostate cancer but it is not known whether this is independent of other established prognostic factors. Therefore the aim of this study was to describe the relationship between mGPS and survival in patients with prostate cancer after adjustment for other prognostic factors.</p> <p>Methods: Retrospective clinical series on patients in Glasgow, Scotland, for whom data from the Scottish Cancer Registry, including Gleason score, Prostate Specific Antigen (PSA), C-reactive protein (CRP) and albumin, six months prior to or following the diagnosis, were included in this study.</p> <p>The mGPS was constructed by combining CRP and albumin. Five-year and ten-year relative survival and relative excess risk of death were estimated by mGPS categories after adjusting for age, socioeconomic circumstances, Gleason score, PSA and previous in-patient bed days.</p> <p>Results: Seven hundred and forty four prostate cancer patients were identified; of these, 497 (66.8%) died during a maximum follow up of 11.9 years. Patients with mGPS of 2 had poorest 5-year and 10-year relative survival, of 32.6% and 18.8%, respectively. Raised mGPS also had a significant association with excess risk of death at five years (mGPS 2: Relative Excess Risk = 3.57, 95% CI 2.31-5.52) and ten years (mGPS 2: Relative Excess Risk = 3.42, 95% CI 2.25-5.21) after adjusting for age, socioeconomic circumstances, Gleason score, PSA and previous in-patient bed days.</p> <p>Conclusions: The mGPS is an independent and objective prognostic indicator for survival of patients with prostate cancer. It may be useful in determining the clinical management of patients with prostate cancer in addition to established prognostic markers.</p&gt

2016 Research & Innovation Day Program

A one day showcase of applied research, social innovation, scholarship projects and activities.https://first.fanshawec.ca/cri_cripublications/1003/thumbnail.jp

Comorbidity and survival after admission to the intensive care unit: a population-based study of 41,230 patients

Purpose: To describe the relationship between comorbidities and survival following admission to the intensive care unit. Methods: Retrospective observational study using several linked routinely collected databases from 16 general intensive care units between 2002 and 2011. Comorbidities identified from hospitalisation in the five years prior to intensive care unit admission. Odds ratios for survival in intensive care unit, hospital and at 30 days, 180 days and 12 months after intensive care unit admission derived from multiple logistic regression models. Results: There were 41,230 admissions to intensive care units between 2002 and 2011. Forty-one percent had at least one comorbidity – 24% had one, 17% had more than one. Patients with comorbidities were significantly older, had higher Acute Physiology and Chronic Health Evaluation II scores and were more likely to have received elective rather than emergency surgery compared with those without comorbidities. After excluding elective hospitalisations, intensive care unit and hospital mortality for the cohort were 24% and 29%, respectively. Asthma (odds ratio 0.79, 95% confidence interval 0.63–0.99) and solid tumours (odds ratio 0.74, 0.67–0.83) were associated with lower odds of intensive care unit mortality than no comorbidity. Intensive care unit mortality was raised for liver disease (odds ratio 2.98, 2.43–3.65), cirrhosis (odds ratio 2.61, 1.9–3.61), haematological malignancy (odds ratio 2.29, 1.85–2.83), chronic ischaemic heart disease (odds ratio 1.53, 1.19–1.98), heart failure (odds ratio 1.79, 1.35–2.39) and rheumatological disease (odds ratio 1.53, 1.18–1.98). Conclusions: Comorbidities affect two-fifths of intensive care unit admission and have highly variable effects on subsequent outcomes. Information on the differential effects of comorbidities will be helpful in making better decisions about intensive care unit support and understanding outcomes beyond surviving intensive care unit

Association between anesthetic dose and technique and oncologic outcomes after surgical resection of non-small cell lung cancer

Objectives: Because of the biologic effects of volatile anesthetics on the immune system and cancer cells, it has been hypothesized that their use during non-small cell lung cancer (NSCLC) surgery may negatively affect cancer outcomes compared with total intravenous anesthesia (TIVA) with propofol. The present study evaluated the relationship between anesthetic technique and dose and oncologic outcome in NSCLC surgery. Design: Retrospective cohort study. Setting: Surgical records collated from a single, tertiary care hospital and combined with the Scottish Cancer Registry and continuously recorded electronic anesthetic data. Participants: Patients undergoing elective lung resection for NSCLC between January 2010 and December 2014. Interventions: The cohort was divided into patients receiving TIVA only and patients exposed to volatile anesthetics. Measurements and Main Results: Final analysis included 746 patients (342 received TIVA and 404 volatile anesthetic). Kaplan-Meier survival curves with log-rank testing were drawn for cancer-specific and overall survival. No significant differences were demonstrated for either cancer-specific (p = 0.802) or overall survival (p = 0.736). Factors influencing survival were analyzed using Cox proportional hazards modeling. Anesthetic type was not a significant predictor for cancer-specific or overall survival in univariate or multivariate Cox analysis. Volatile anesthetic exposure was quantified using area under the end-tidal expired anesthetic agent versus time curves. This was not significantly associated with cancer-specific survival on univariate (p = 0.357) or multivariate (p = 0.673) modeling. Conclusions: No significant relationship was demonstrated between anesthetic technique and NSCLC survival. Whether a causal relationship exists between anesthetic technique during NSCLC surgery and oncologic outcome warrants definitive investigation in a prospective, randomized trial

Feasibility and indicative results from a 12-month low-energy liquid diet treatment and maintenance programme for severe obesity

Background: There is no established primary care solution for the rapidly increasing numbers of severely obese people with body mass index (BMI) > 40 kg/m2. Aim: This programme aimed to generate weight losses of ≥15 kg at 12 months, within routine primary care. Design and setting: Feasibility study in primary care. Method: Patients with a BMI ≥40 kg/m2 commenced a micronutrient-replete 810–833 kcal/day low-energy liquid diet (LELD), delivered in primary care, for a planned 12 weeks or 20 kg weight loss (whichever was the sooner), with structured food reintroduction and then weight-loss maintenance, with optional orlistat to 12 months. Result: Of 91 patients (74 females) entering the programme (baseline: weight 131 kg, BMI 48 kg/m2, age 46 years), 58/91(64%) completed the LELD stage, with a mean duration of 14.4 weeks (standard deviation [SD] = 6.0 weeks), and a mean weight loss of 16.9 kg (SD = 6.0 kg). Four patients commenced weight-loss maintenance omitting the food-reintroduction stage. Of the remaining 54, 37(68%) started and completed food reintroduction over a mean duration of 9.3 weeks (SD = 5.7 weeks), with a further mean weight loss of 2.1 kg (SD = 3.7 kg), before starting a long-term low-fat-diet weight-loss maintenance plan. A total of 44/91 (48%) received orlistat at some stage. At 12 months, weight was recorded for 68/91 (75%) patients, with a mean loss of 12.4 kg (SD = 11.4 kg). Of these, 30 (33% of all 91 patients starting the programme) had a documented maintained weight loss of ≥15 kg at 12 months, six (7%) had a 10–15 kg loss, and 11 (12%) had a 5–10 kg loss. The indicative cost of providing this entire programme for wider implementation would be £861 per patient entered, or £2611 per documented 15 kg loss achieved. Conclusion: A care package within routine primary care for severe obesity, including LELD, food reintroduction, and weight-loss maintenance, was well accepted and achieved a 12-month-maintained weight loss of ≥15 kg for one-third of all patients entering the programme