Marcy Winget

Sarcopenia is associated with postoperative infection and delayed recovery from colorectal cancer resection surgery

Background:Skeletal muscle depletion (sarcopenia) predicts morbidity and mortality in the elderly and cancer patients.Methods:We tested whether sarcopenia predicts primary colorectal cancer resection outcomes in stage II–IV patients (n=234). Sarcopenia was assessed using preoperative computed tomography images. Administrative hospitalisation data encompassing the index surgical admission, direct transfers for inpatient rehabilitation care and hospital re-admissions within 30 days was searched for International Classification of Disease (ICD)-10 codes for postoperative infections and inpatient rehabilitation care and used to calculate length of stay (LOS).Results:Overall, 38.9% were sarcopenic; 16.7% had an infection and 9.0% had inpatient rehabilitation care. Length of stay was longer for sarcopenic patients overall (15.9±14.2 days vs 12.3±9.8 days, P=0.038) and especially in those ⩾65 years (20.2±16.9 days vs 13.1±8.3 days, P=0.008). Infection risk was greater for sarcopenic patients overall (23.7% vs 12.5%; P=0.025), and especially those ⩾65 years (29.6% vs 8.8%, P=0.005). Most (90%) inpatient rehabilitation care was in patients ⩾65 years. Inpatient rehabilitation was more common in sarcopenic patients overall (14.3% vs 5.6%; P=0.024) and those ⩾65 years (24.1% vs 10.7%, P=0.06). In a multivariate model in patients ⩾65 years, sarcopenia was an independent predictor of both infection (odds ratio (OR) 4.6, (95% confidence interval (CI) 1.5, 13.9) P<0.01) and rehabilitation care (OR 3.1 (95% CI 1.04, 9.4) P<0.04).Conclusion:Sarcopenia predicts postoperative infections, inpatient rehabilitation care and consequently a longer LOS.

Wood-burning stoves and lower respiratory illnesses in Navajo children

BACKGROUND Acute lower respiratory illnesses (ALRI) have been associated with exposure to domestic smoke. To examine further this association, a case-control study was conducted among Navajo children seen at the Public Health Service Indian Hospital at Fort Defiance, AZ. METHODS Cases, children hospitalized with an ALRI (n = 45), were ascertained from the inpatient logs during October, 1992, through March, 1993. Controls, children who had a health record at the same hospital and had never been hospitalized for ALRI, were matched 1:1 to cases on date of birth and gender. Home interviews of parents of subjects during March and April, 1993, elicited information on heating and cooking fuels and other household characteristics. Indoor air samples were collected for determination of time-weighted average concentrations of respirable particles (i.e. < 10 microns in diameter). RESULTS Age of cases at the time of admission ranged from 1 to 24 months (median, 7 months); 60% of the cases were male. Matched pair analysis revealed an increased risk of ALRI for children living in households that cooked with any wood (odds ratio (OR), 5.0; 95% confidence interval (CI), 0.6 to 42.8), had indoor air concentrations of respirable particles > or = 65 micrograms/m3 (i.e. 90th percentile) (OR 7.0, 95% CI 0.9 to 56.9), and where the primary caretaker was other than the mother (OR 9, 95% CI 1.1 to 71.4). Individual adjustment for potential confounders resulted in minor change (i.e. < 20%) in these results. Indoor air concentration of respirable particles was positively correlated with cooking and heating with wood (P < 0.02) but not with other sources of combustion emissions. CONCLUSIONS Cooking with wood-burning stoves was associated with higher indoor air concentrations of respirable particles and with an increased risk of ALRI in Navajo children.

An Automated Peak Identification/Calibration Procedure for High-Dimensional Protein Measures From Mass Spectrometers

Discovery of “signature” protein profiles that distinguish disease states (eg, malignant, benign, and normal) is a key step towards translating recent advancements in proteomic technologies into clinical utilities. Protein data generated from mass spectrometers are, however, large in size and have complex features due to complexities in both biological specimens and interfering biochemical/physical processes of the measurement procedure. Making sense out of such high-dimensional complex data is challenging and necessitates the use of a systematic data analytic strategy. We propose here a data processing strategy for two major issues in the analysis of such mass-spectrometry-generated proteomic data: (1) separation of protein “signals” from background “noise” in protein intensity measurements and (2) calibration of protein mass/charge measurements across samples. We illustrate the two issues and the utility of the proposed strategy using data from a prostate cancer biomarker discovery project as an example.

A comparison of Charlson and Elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data.

Cancer survival is related to features of the primary malignancy and concurrent presence of nonmalignant diseases (comorbidities), including weight‐related conditions (obesity, weight loss). The Charlson and Elixhauser methods are 2 well‐known methods that take comorbidities into account when explaining survival. They differ in both the number and categorization of comorbidities.

Impact of vitamin a supplementation on hematological indicators of iron metabolism and protein status in children

Abstract A randomized, double-masked, placebo-controlled, clinical trial of 236 preschool children, age 3–6, in West Java, Indonesia, was carried out to assess the impact of vitamin A supplementation on hematological indicators of iron metabolism and nutritional status. Clinically normal children (n=118) were matched by age and sex with xerophthalmic children (n=118) and randomized to receive oral vitamin A, 60,000 μg retinol equivalent, or placebo, creating a total of four study groups. Vitamin A supplementation was associated with a large increase (14.9±15.6 μg/L) in plasma ferritin (p

Association between receipt and timing of adjuvant chemotherapy and survival for patients with stage III colon cancer in Alberta, Canada.

Surgery followed by adjuvant chemotherapy has been standard treatment for stage III colon cancer since 1990. However, to date, clinical trials have not been conducted to determine the definitive outer time limit by which adjuvant chemotherapy should be received for optimal survival benefit. The objective of the current study was to assess the association between the receipt/timing of adjuvant chemotherapy and patient survival in clinical practice.

Development of common data elements: The experience of and recommendations from the early detection research network

There have been an increasing number of large research consortia in recent years funded by the National Cancer Institute (NCI) to facilitate multi-disciplinary, multi-institutional cancer research. Some of these consortia have central data collection plans similar to a multi-center clinical trial whereas others plan to store data locally and pool or share the data at a later date. Regardless of the goal of the consortium, there is a need to standardize the way certain data are collected and stored, transferred, or reported across the institutions involved. This communication is a report of the process and current status of the development of common data elements (CDEs) by the Early Detection Research Network (EDRN). The development of the CDEs involved several stages with each stage requiring input from multi-disciplinary experts in oncology, epidemiology, biostatistics, pathology, informatics, and study coordination. An effort was made to be consistent with other consortia developing similar CDEs and to follow data standards when available. Initial focus was on identifying the minimum data that would be necessary to collect on all EDRN study participants and EDRN specimens. There are currently CDEs in the development or pilot phase for eight different organ sites and 13 different types of specimen procurements and plans to develop CDEs for 12 or more additional types of specimens.

Reasons physicians do not recommend and patients refuse adjuvant chemotherapy for stage III colon cancer: a population based chart review

BackgroundSurgery followed by adjuvant chemotherapy has been the standard of care for the treatment of stage III colon cancer since the early 1990’s. Despite this, large proportions of patients do not receive adjuvant chemotherapy. We aimed to identify physicians’ and patients’ reasons for treatment decisions.MethodsA retrospective population based study was conducted that included all surgically treated stage III colon cancer patients diagnosed in Alberta between 2002 and 2005 who had an oncologist-consult to discuss post-surgical treatment options. Patient demographics and stage were obtained from the Alberta Cancer Registry. Chart reviews were conducted to extract treatment details, the oncologists’ reasons for not recommending chemotherapy, and patients’ reasons for refusing chemotherapy. The number and proportion of patients who were not recommended or refused chemotherapy were calculated.ResultsA total of 613 patients had surgery followed by an oncologist-consult. Overall, 168 (27%) patients did not receive chemotherapy. It was not recommended for 111 (18%) patients; the most frequent reason was presence of one or more co-morbidities (34%) or combination of co-morbidity and age or frailty (22%). Fifty-eight (9%) patients declined chemotherapy, 22% of whom declined due to concerns about toxicity.ConclusionSome co-morbidities are clinical indications for not receiving adjuvant chemotherapy, however, the high percentage of patients who were not recommended adjuvant chemotherapy due to co-morbidities according to clinical notes but who had a low Charlson co-morbidity score suggests variation in practice patterns of consulting oncologists. In addition, patients’ reasons for refusing treatment need to be systematically assessed to ensure patients’ preferences and treatment benefits are properly weighed when making treatment decisions.

Comparison of Treatment Received Versus Long- Standing Guidelines for Stage III Colon and Stage II/III Rectal Cancer Patients Diagnosed in Alberta, Saskatchewan, and Manitoba in 2004

PURPOSE Guideline-recommended treatment for stage II/III colorectal cancer includes postsurgical chemotherapy and/or radiation as standard of care. This study measures adherence to guidelines across 3 Canadian provinces and evaluates the relationship of patient characteristics with receiving standard care. PATIENTS AND METHODS All surgically treated patients diagnosed in 2004 with stage III colon or stage II/III rectal cancer and residing in Alberta, Saskatchewan, or Manitoba were identified from provincial cancer registries. Sex, age at diagnosis, and area of residence were also obtained from the cancer registry. The primary outcome of interest was receipt of standard care: surgery followed by chemotherapy or radiation therapy (adjuvant therapy). chi2 tests and binary regression with log link assessed the relationship of patient demographic characteristics (age, sex, residence, cancer disease stage) with receipt of standard care. RESULTS About half of the patients received adjuvant therapy. Patients with stage III rectal cancer were more likely to receive adjuvant treatment than stage II patients in Alberta and Saskatchewan. There was a large decrease in the percentage of patients who received adjuvant treatment with increasing age in all the provinces (P < .001), ranging from about 80% of those aged < 65 years to about 20% of those aged >or= 75 years for colon cancer patients and from about 70% to 30%, respectively, for rectal cancer patients. The decrease of adjuvant treatment with increasing age was most marked in Alberta. CONCLUSION The percentage of patients receiving guideline-recommended treatment is low. Reasons for lack of adherence to guidelines need to be addressed.

A web-based system for managing and co-ordinating multiple multisite studies.

Efficient and secure collection and management of information is essential in any modern biomedical study. Data management and coordination of multisite studies is a complex process. It involves development of systems for data collection, data cleaning with quality assurance checks, and specimen tracking, as well as development of procedures for conducting the study, training clinical sites, and communicating with sites to answer study questions and resolve and track data inquiries and resolutions. We developed a secure web-based system that is designed to automate evaluation of eligibility criteria and data collection, track specimens, serve as a resource for study-specific information, facilitate communication across sites in multisite studies, track data queries and resolutions, and allow administrative management of studies. The system combines a common framework across studies that defines the internal structure for all the web pages, with a study-specific one that defines the content of each page via a relational database. This combination creates a flexible and efficient environment enabling several multisite studies to be simultaneously or consecutively implemented and managed in a timely manner. We describe the development process, the system and its evaluation, current status, lessons learned, and future development plans.