Citations

Chaplains' involvement in spirituality and health research can contribute something vital and unique to these investigations. It can also provide opportunity for professional growth and increased effectiveness. This article describes the authors' experience as co-investigators in a randomized controlled trial involving patients with a life expectancy of less than five years receiving radiation therapy for advanced cancer. It also discusses the application to clinical settings and other research.

Introduction Treatment of symptomatic spinal metastases through surgical decompression and reconstruction is known to improve quality of life in patients with cancer. However, most studies have been performed on patients with mixed tumor histopathology. We systematically review the literature for prognostic factors specific to the surgical treatment of prostate metastases to the spine to determine the indications and outcomes of the surgical treatment. Material and Methods A systemic review of the literature was conducted to answer the following questions: Q1. Describe the survival and functional outcomes of surgery or vertebral augmentation for prostate metastases to the spine; Q2. Determine whether overall tumor burden, Gleason score, preoperative functional markers, and favorable hormonal naivety for operative intervention; Q3. Establish whether clinical outcomes vary with the evolution of operative techniques. Expert consensus was obtained using a modified Delphi process. Results A total of 16 studies met the preset inclusion criteria. These studies were all retrospective series with a level of evidence of IV. Included studies consistently showed a large effect of hormone naivety on overall survival. In addition, studies consistently demonstrated an improvement in motor function and the ability to maintain/regain ambulation following surgery resulting in moderate strength of recommendation. All other parameters were of insufficient or low strength. Conclusion There is scant literature on the surgical treatment of prostate metastases to the spine, which represents an opportunity for future research. On the basis of the existing evidence, it appears that the surgical treatment of prostate metastases to the spine has consistently favorable results. While no consistent preoperative indicators favor nonoperative treatment, hormone naivety and high Karnofsky Performance Scores have positive effects on survival and clinical outcomes.

Introduction Symptomatic metastatic epidural spinal cord compression (MESCC) afflicts up to 10% of all cancer patients. MESCC is associated with shortened survival and worsened quality of life; thus, early diagnosis and management is crucial. In a multidisciplinary setting, life expectancy must be considered along with other factors, such as patient's symptoms and overall medical condition, to select the optimal patient-specific treatment plan. This study aims to identify and compare key survival prognostic factors in surgically treated symptomatic MESCC patients with a 12-month postoperative follow-up. Materials and Methods Over a 5-year period, 145 patients surgically treated for a single symptomatic MESCC lesion were enrolled in a prospective North American multicenter study. Univariate analyses, Kaplan–Meier methods, and log-rank tests were used to evaluate the prognostic value of various clinical predictors. Preoperative prognostic factors evaluated: age, gender, comorbidities, history of smoking, metastases outside the spine, site of primary tumor, previous systemic treatment for the primary tumor, MESCC location, number of vertebral body involved, previous MESCC treatment, ASIA score, motor deficits, bladder dysfunction, Oswestry Disability Index (ODI), EQ-5D, SF-36v2 mental and physical components, and ability to walk four steps. Predictors with p < 0.2 in univariate analyses were included into the final Cox proportional hazards model. Results The overall median survival was 7.7 months (235 days). Lung and breast cancer had the shortest and longest median survival, respectively (4.5 vs. 12.1 months). Nine patients (6%), whose primary cancer were lung (3), kidney (3), melanoma (1), prostate (1), and breast (1), died within 30 days after surgery; 46 (32%), 61 (42%), 74 (51%), and 86 (59%) patients died at 3, 6, 9, and 12 months, respectively. The site of primary tumor, number of vertebrae involved, ODI, EQ-5D, ASIA score, metastases outside the spine, bladder dysfunction, and ability to walk four steps were significant predictors on the univariate analyses. However, the multivariate Cox-regression analysis demonstrated that only spinal metastasis involving four or more vertebral bodies had a negative impact on survival ( p = 0.002, HR: 25). Conclusion The extent of spinal metastasis, which is regarded as an indicator of the severity of patient's metastasis burden, and the site of the primary tumor, although not statistically significant in our regression model but well recognized in the literature as an important clinical predictor, are considered as independent predictors of poor prognosis in patients with a single-level symptomatic MESCC lesion. MESCC patients are a challenging and vulnerable heterogenous population. It is essential to identify factors predicting survival, functional and clinical outcomes in this population to guide patient-centered management to optimize quality of life.

Introduction Surgical treatment and cement augmentation procedures are effective palliative techniques for the treatment of symptomatic spinal metastases. However, clinical results specific to a breast cancer cohort are generally lacking. We aim to systematically review the literature for clinical outcomes following operative interventions and prognostic factors for the treatment of breast metastases to the spine. Specifically, we describe the survival and clinical outcomes of surgery and cement augmentation procedures for breast metastases to the spine and to determine prognostic variables that may help recognize which patients will perform better or worse following surgery. Methods We performed a literature review using PubMed to identify articles that reported outcomes and/or prognostic factors of the breast cancer patient population with spinal metastases treated with any surgical technique since 1990. Results A total of 19 surgical studies, 4 cement augmentation studies, and 6 nonsurgical prognostic variable studies met the preset inclusion criteria. All but three studies (two surgical and one cement augmentation) were retrospective in nature, and all studies were of level of evidence IV. Median postoperative survival for metastatic breast cancer was 21.7 months (8.2–36 months), mean rate of pain improvement was 92.9% (76–100%), mean rate of neurological improvement was 63.8% (53–100%), mean rate neurological decline was 4.1% (0–8%), and mean rate LTC was 92.6% (89–100%). Kyphoplasty studies reported a high rate of pain control in selected patients. Negative prognostic variables included: hormonal (estrogen and progesterone) and HER2 receptor refractory tumor status, high degree of axillary lymph node involvement, and short disease-free interval (DFI). All other clinical or prognostic parameters were of low or insufficient strength. Conclusion With respect to clinical outcomes, studies consistently found that surgery resulted in neurological improvement for a majority of patients, with a minimal risk of worsening, and kyphoplasty studies reported a high rate of pain control. Increased postoperative survival 2002 onwards was likely due to FDA approval of new chemotherapies. However, specific factors associated with shorter survival following surgery involve hormone and HER2 receptor status and disease-free interval.

Introduction Primary spinal osteosarcomas are rare and aggressive neoplasms with poor outcomes. Enneking appropriate, en bloc resection is recommended for appendicular osteosarcomas. Obtaining even marginal margins is technically demanding in the spine, resulting in significant morbidity and possible functional sacrifice. The aim of this study was to identify prognostic variables on local recurrence and mortality, in surgically treated patients diagnosed with a primary osteosarcoma of the spine. Methods A multicenter ambispective database of surgically treated patients with primary spine osteosarcomas was developed by the AOSpine knowledge forum tumor. Patient demographic, diagnosis, treatment, perioperative morbidity, local recurrence, and cross-sectional survival data were collected. Tumors were classified according to Enneking principles and analyzed in the following two cohorts: Enneking appropriate (EA) and Enneking inappropriate (EI). EA was defined by the final pathology margin matching the Enneking recommended surgical margin and EI by not matching. Prognostic variables including age, previous spine tumor operation, biopsy type, spine level, tumor size, and chemotherapy timing were analyzed in reference to local recurrence and survival. Results Between 1987 and 2012, 57 patients (31 females and 26 males) underwent surgical treatment for a primary spinal osteosarcoma at a mean age of 36 ± 16 years. Patients were followed for a mean period of 3.4 ± 3.5 years (range, 0.5 days–14.3 years). Median survival for the entire cohort was 6.7 years postoperative. Overall, 24 (42%) patients died and 17 (30%) patients suffered a local recurrence, 10 (59%) of which died. Overall, 28 (52%) patients underwent EA resection while 26 (48%) patients were treated by EI resection. Median survival for patients with EA was 6.8 years postoperative, whereas median survival for EI patients was 3.7 years postoperatively ( p = 0.062). EI patients were at a higher risk of local recurrence than EA patients ( p = 0.002). Patient age, previous spine tumor operation, tumor size, spine level, and chemotherapy timing did not significantly influence recurrence and survival. Conclusion Osteosarcoma of the spine presents a significant challenge and most patients die from their disease in spite of aggressive surgery. There is a significant decrease in recurrence with en bloc resection when compared with intralesional resection.

AbstractRationale, aims and objectivesAchieving control over elevated lipid parameters, particularly low‐density lipoprotein (LDL)‐cholesterol, is an acknowledged quality indicator in primary care. The Centers for Disease Control and Prevention (CDC)'s model for investigation of outbreaks (person–place–time) can be applied to the analysis of quality indicators.MethodsA sample of 322 family medicine patients for whom lipid levels were ordered was extracted. LDL > 100 mg/dL was cross‐tabulated by personal characteristics [age group, gender, body mass index (BMI), diagnoses], month (time) and ordering department (place).ResultsAge (except one age category), gender, time and location were not related to LDL > 100 mg/dL after adjustment for covariates. All levels of BMI above normal elevated the risk of LDL > 100 mg/dL [BMI 25–29.9: odds ratio (OR) = 3.41, confidence interval (CI) = 1.61–7.23, P = 0.0014; BMI 30–34.9: OR = 2.93, CI = 1.28–6.70, P = 0.0109; BMI ≥ 35: OR = 2.75, CI = 1.19–6.37, P = 0.0181]. Patients with coronary artery disease (CAD) and diabetes mellitus (DM) were at reduced risk for LDL > 100 mg/dL (CAD: OR = 0.47, CI = 0.24–0.91, P = 0.0254; DM: OR = 0.28, CI = 0.14–0.55, P = 0.0002).ConclusionAn outbreak investigation model is useful for analysing variations in this quality indicator. Patients with higher BMI and those not diagnosed with CAD or DM type I/II may be considered for intensified lipid lowering using quality improvement efforts. These might include counselling for lifestyle changes or medication therapy depending upon their calculated cardiac risk.

ABSTRACTBioinformatics approaches to examine gene‐gene models provide a means to discover interactions between multiple genes that underlie complex disease. Extensive computational demands and adjusting for multiple testing make uncovering genetic interactions a challenge. Here, we address these issues using our knowledge‐driven filtering method, Biofilter, to identify putative single nucleotide polymorphism (SNP) interaction models for cataract susceptibility, thereby reducing the number of models for analysis. Models were evaluated in 3,377 European Americans (1,185 controls, 2,192 cases) from the Marshfield Clinic, a study site of the Electronic Medical Records and Genomics (eMERGE) Network, using logistic regression. All statistically significant models from the Marshfield Clinic were then evaluated in an independent dataset of 4,311 individuals (742 controls, 3,569 cases), using independent samples from additional study sites in the eMERGE Network: Mayo Clinic, Group Health/University of Washington, Vanderbilt University Medical Center, and Geisinger Health System. Eighty‐three SNP‐SNP models replicated in the independent dataset at likelihood ratio test P < 0.05. Among the most significant replicating models was rs12597188 (intron of CDH1)–rs11564445 (intron of CTNNB1). These genes are known to be involved in processes that include: cell‐to‐cell adhesion signaling, cell‐cell junction organization, and cell‐cell communication. Further Biofilter analysis of all replicating models revealed a number of common functions among the genes harboring the 83 replicating SNP‐SNP models, which included signal transduction and PI3K‐Akt signaling pathway. These findings demonstrate the utility of Biofilter as a biology‐driven method, applicable for any genome‐wide association study dataset.