Debridement,interbody graft using titanium mesh cages,posterior instrumentation and fusion in the surgical treatment of multilevel noncontiguous spinal tuberculosis in elderly patients via a posterior-only

PurposeTo analyse the efficacy and feasibility of surgical management for elderly patients with multilevel non-contiguous spinal tuberculosis(MNSTB)by using one-stage posterior focus debridement, interbody graft using titanium mesh cages, posterior instrumentation and fusion.MethodsFrom September 2009 to October 2013, 15 elderly patients with MNSTB were treated with one-stage posterior focus debridement, interbody graft using titanium mesh cages, posterior instrumentation and fusion. There were 10 males and 5 females with a mean age of 63.2 years (range: 60–68 years) at the time of surgery. The mean follow-up time was 40 months(range 26–68 months). Patients were evaluated before and after surgery in terms of erythrocyte sedimentation rate(ESR), neurological status, pain and kyphotic angle.ResultsThe spinal tuberculosis was completely cured, and the grafted bones were fused in all 15 patients. There were no recurrent tuberculous infections. The ESR reached a normal level within 3 months in all patients. The ASIA neurological classification improved in all cases, and pain relief was reported by all patients. The average preoperative kyphosis was 20.1° (range 8–38°) and decreased to 7.6° (range 1–18°) postoperatively. There was no significant loss of the correction at the latest follow-up.ConclusionsOur results showed that one-stage posterior focus debridement, interbody graft using titanium mesh cages, posterior instrumentation and fusion was an effective treatment for elderly patients with MNSTB. It is characterized by minimum surgical trauma, good neurological recovery, and good correction of kyphosis.     

The daily impact of pain from metastatic breast cancer on spousal relationships: A dyadic electronic diary study

Women with metastatic breast cancer (MBC) experience high levels of emotional distress and pain. Although individuals often rely on their intimate partners to provide physical and emotional support when they are in pain, the daily impact of pain on the spousal relationship in the context of advanced cancer is unclear. To understand how relationships are affected by pain, 57 MBC patients and their partners completed electronic diary assessments 6 times a day for 14 days. Patients and partners rated the patient’s pain, their own mood (circumplex adjectives), the provision/receipt of social support, and the degree to which cancer interfered with their relationship. Multilevel mediation models with the couple as the unit of analysis were estimated. Partners and patients reported greater relationship interference when patients experienced more pain and less aroused (i.e., more tired, less peppy, less active) mood. Greater tired mood during the day accounted for 17% and 82% of the association between patients’ morning pain and their evening ratings of emotional and physical support from their partners, respectively. Partners did not directly respond to patients’ pain by providing emotional or physical support; however, they were more likely to provide support when patients experienced more tired and less active mood as a consequence of their pain. Results suggest that one way that pain may wear on couples’ relationships is through its adverse effects on patients’ daily mood. They also suggest that partners may base their provision of support on their perception of the adverse effects of pain on patients’ aroused mood.     

Utility of linear mixed effects models for event-related potential research with infants and children

Event-related potentials (ERPs) are advantageous for investigating cognitive development. However, their application in infants/children is challenging given children’s difficulty in sitting through the multiple trials required in an ERP task. Thus, a large problem in developmental ERP research is high subject exclusion due to too few analyzable trials. Common analytic approaches (that involve averaging trials within subjects and excluding subjects with too few trials, as in ANOVA and linear regression) work around this problem, but do not mitigate it. Moreover, these practices can lead to inaccuracies in measuring neural signals. The greater the subject exclusion, the more problematic inaccuracies can be. We review recent developmental ERP studies to illustrate the prevalence of these issues. Critically, we demonstrate an alternative approach to ERP analysis—linear mixed effects (LME) modeling—which offers unique utility in developmental ERP research. We demonstrate with simulated and real ERP data from preschool children that commonly employed ANOVAs yield biased results that become more biased as subject exclusion increases. In contrast, LME models yield accurate, unbiased results even when subjects have low trial-counts, and are better able to detect real condition differences. We include tutorials and example code to facilitate LME analyses in future ERP research.     

Hierarchy of the main factors predicting the decision to go to the doctor in a general population sample: A factorial survey design

ObjectiveTo obtain a hierarchy of the main factors that predict the decision to go to the doctor when symptoms are not yet linked to a specific disease.Method64 representative vignettes, combinations of nine factors, were presented to 168 adults between 28–60 years of age.ResultsMultilevel multiple regression models were used to rank the main factors predicting urgency to see a doctor in order of importance: the interference of symptoms in daily activities (B = −1.29; p < .001), fear (B = −0.96; p < .001), pain (B = −0.90; p < .001), access to medical care (B = −0.64; p < .001) and confidence in the doctor (B = −0.27; <.05). Moreover, gender (B = 0.56; p < .05) and educational level (B =−0.31; p < .05) explained part of the interindividual variation in the daily symptoms' interference.ConclusionWhen a specific disease has not yet been diagnosed, daily symptoms' interference is the factor that most strongly increases the urgency to visit a doctor, especially among men and among people with a higher level of education.Practice implicationsTo reduce delay, generic health prevention campaigns should place more emphasis on possible interference in daily activities than on the meaning of symptoms for health.     

Knowledge management infrastructure to support quality improvement: A qualitative study of maternity services in four European hospitals

The influence of multilevel healthcare system interactions on clinical quality improvement (QI) is still largely unexplored. Through the lens of knowledge management (KM) theory, this study explores how hospital managers can enhance the conditions for clinical QI given the specific multilevel and professional interactions in various healthcare systems.The research used an in-depth multilevel analysis in maternity departments in four purposively sampled European hospitals (Portugal, England, Norway and Sweden). The study combines analysis of macro-level policy documents and regulations with semi-structured interviews (96) and non-participant observations (193 hours) of hospital and clinical managers and clinical staff in maternity departments.There are four main conclusions: First, the unique multilevel configuration of national healthcare policy, hospital management and clinical professionals influence the development of clinical QI efforts. Second, these different configurations provide various and often insufficient support and guidance which affect professionals’ action strategies in QI efforts. Third, hospital managers’ opportunities and capabilities for developing a consistent KM infrastructure with reinforcing enabling conditions which merge national policies and guidelines with clinical reality is crucial for clinical QI. Fourth, understanding these interrelationships provides an opportunity for improvement of the KM infrastructure for hospital managers through tailored interventions.     

Perioperative Complications of Orthopedic Surgery for Lower Extremity in Patients with Cerebral Palsy

Because complications are more common in patients with cerebral palsy (CP), surgeons and anesthesiologists must be aware of perioperative morbidity and be prepared to recognize and treat perioperative complications. This study aimed to determine the incidence of and risk factors for perioperative complications of orthopedic surgery on the lower extremities in patients with CP. We reviewed the medical records of consecutive CP patients undergoing orthopedic surgery. Medical history, anesthesia emergence time, intraoperative body temperature, heart rate, blood pressure, immediate postoperative complications, Gross Motor Function Classification System (GMFCS) level, Cormack-Lehane classification, and American Society of Anesthesiologists physical status classification were analyzed. A total of 868 patients was included. Mean age at first surgery was 11.8 (7.6) yr. The incidences of intraoperative hypothermia, absolute hypotension, and absolute bradycardia were 26.2%, 4.4%, and 20.0%, respectively. Twenty (2.3%) patients had major complications, and 35 (4.0%) patients had minor complications postoperatively. The incidences of intraoperative hypothermia, absolute hypotension, and major postoperative complications were significantly higher in patients at GMFCS levels IV and V compared with patients at GMFCS levels I to III (P<0.001). History of pneumonia was associated with intraoperative absolute hypotension and major postoperative complications (P<0.001). These results revealed that GMFCS level, patient age, hip reconstructive surgery, and history of pneumonia are associated with adverse effects on intraoperative body temperature, the cardiovascular system, and immediate postoperative complications.     

Impact of Parkinson’s disease on perioperative complications and hospital cost in multilevel spine fusion: A population-based analysis

Parkinson’s disease (PD) is a neurodegenerative disorder manifesting over time to result in reduced mobility. The impact of PD on spinal fusion has yet to be addressed on a nationwide level. The Nationwide Inpatient Sample (NIS) from 2001 to 2012 was used for analysis. Admissions with spinal fusion of two or more vertebrae (ICD-9 codes = 81.62, 81.63 and 81.64) were included and then stratified based on the presence or absence of PD (ICD-9 code = 332.0); patients with cancer (ICD-9 codes = 140–239) or trauma (ICD-9 codes = 805.0–806.9) were excluded. Propensity score matching adjusted for potential confounding effects introduced by patient age, race, sex, and primary payer for care. 570,858 patients receiving spinal fusion of two or three vertebrae (1–2 levels) were identified, 2648 (0.5%) of whom had PD. Analysis revealed that PD was independently predictive for increased in-hospital mortality, durotomy, paraplegia, postoperative infection, venous thrombotic events, inferior vena cava filter placement, red blood cell transfusion, pulmonary embolism, total hospital charge >$200,000, length of stay >1 week, non-routine discharge disposition, acute respiratory distress syndrome, acute posthemorrhagic anemia, multisystem complications (nervous system, cardiac, respiratory, urinary), and device-related complications (all P < 0.001). In conclusion, these findings from a nationwide analysis comprising a 12-year period indicate that PD is significantly associated with increased in-hospital morbidity, mortality, and cost following spine fusion of 1–2 levels when compared with the general population. These findings point to the need for risk stratification and adjustment of quality metrics for this growing patient population, and should be integrated into operative decision-making and patient counseling.     

Operative fusion of multilevel cervical spondylotic myelopathy: Impact of patient demographics

Cervical spondylotic myelopathy (CSM) is the most common cause of spinal cord dysfunction in patients older than age 55, with operative management being a widely adopted approach. Previous work has shown that private insurance status, gender and patient race are predictive of the operative approach patients receive (anterior-only, posterior-only, combined anterior–posterior). The Nationwide Inpatient Sample from 2001 to 2010 was used to assess the potential role of multilevel CSM as a contributing factor in determining which operative approach CSM patients receive, as it is rare for an anterior-only approach to be sufficient for CSM patients requiring fusion of four or more involved levels. Multivariate analyses revealed that female sex (OR = 3.78; 95% CI = 2.08–6.89; p < 0.0001), private insurance (OR = 5.02; 95% CI = 2.26–11.12; p < 0.0001), and elective admission type (OR = 4.12; 95% CI = 1.65–10.32; p = 0.0025) were predictive of increased receipt of a 3+ level fusion in CSM. No other variables, including patient age, race, income, or admission source were predictive of either increased or decreased likelihood of receiving fusion of at least three levels for CSM. In conclusion, female sex, private insurance status, and elective admission type are each independent predictors in CSM for receipt of a 3+ level fusion, while patient age, race and income are not. Given the propensity of fusions greater than three levels to require posterior approaches and the association between posterior CSM approaches and increased morbidity/mortality, these findings may prove useful as to which patient demographics are predictive of increased morbidity and mortality in operative treatment of CSM.     

Understanding geographical inequities in diabetes: Multilevel evidence from 114,755 adults in Sydney,Australia

Multilevel analysis revealed the odds of having diabetes varied geographically by 42% among 114,755 persons. Approximately 9% of this variation was attributable to behavioural risk factors, 41% due to health status and obesity, 26% due to socioeconomic circumstances and 13% to country of birth. Contextual risk factors warrant future investigation.     

Examining the temporal relationship between psychological climate,work attitude,and staff turnover

Relative to the broader industrial–organizational (I-O) psychology field, research on the turnover of substance use disorder (SUD) treatment staff is in its infancy. Despite its long and rich history, recent reviews of the turnover literature within I-O psychology have noted that there remains considerable room for improvement. In particular, recommendations have been made for research that considers time in the turnover process and explores more distal causes of staff turnover. Addressing these gaps, this article examined the temporal relationship between latent measures of psychological climate, work attitude, and staff turnover. Using data from 95 SUD treatment staff clustered within 29 treatment organizations, multilevel discrete-time survival analyses revealed that a latent measure of work attitude (e.g., job satisfaction, pay satisfaction, turnover intentions) fully mediated the temporal relationship between latent measures of psychological climate (e.g., supervisor support, coworker support, role conflict) and subsequent staff turnover.