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OBJECTIVECurrent costs associated with spine care are unsustainable. Productivity loss and time away from work for patients who were once gainfully employed contributes greatly to the financial burden experienced by individuals and, more broadly, society. Therefore, it is vital to identify the factors associated with return to work (RTW) after lumbar spine surgery. In this analysis, the authors used data from a national prospective outcomes registry to create a predictive model of patients’ ability to RTW after undergoing lumbar spine surgery for degenerative spine disease.METHODSData from 4694 patients who underwent elective spine surgery for degenerative lumbar disease, who had been employed preoperatively, and who had completed a 3-month follow-up evaluation, were entered into a prospective, multicenter registry. Patient-reported outcomes—Oswestry Disability Index (ODI), numeric rating scale (NRS) for back pain (BP) and leg pain (LP), and EQ-5D scores—were recorded at baseline and at 3 months postoperatively. The time to RTW was defined as the period between operation and date of returning to work. A multivariable Cox proportional hazards regression model, including an array of preoperative factors, was fitted for RTW. The model performance was measured using the concordance index (c-index).RESULTSEighty-two percent of patients (n = 3855) returned to work within 3 months postoperatively. The risk-adjusted predictors of a lower likelihood of RTW were being preoperatively employed but not working at the time of presentation, manual labor as an occupation, worker’s compensation, liability insurance for disability, higher preoperative ODI score, higher preoperative NRS-BP score, and demographic factors such as female sex, African American race, history of diabetes, and higher American Society of Anesthesiologists score. The likelihood of a RTW within 3 months was higher in patients with higher education level than in those with less than high school–level education. The c-index of the model’s performance was 0.71.CONCLUSIONSThis study presents a novel predictive model for the probability of returning to work after lumbar spine surgery. Spine care providers can use this model to educate patients and encourage them in shared decision-making regarding the RTW outcome. This evidence-based decision support will result in better communication between patients and clinicians and improve postoperative recovery expectations, which will ultimately increase the likelihood of a positive RTW trajectory.

OBJECTIVEQuality and outcomes registry platforms lie at the center of many emerging evidence-driven reform models. Specifically, clinical registry data are progressively informing health care decision-making. In this analysis, the authors used data from a national prospective outcomes registry (the Quality Outcomes Database) to develop a predictive model for 12-month postoperative pain, disability, and quality of life (QOL) in patients undergoing elective lumbar spine surgery.METHODSIncluded in this analysis were 7618 patients who had completed 12 months of follow-up. The authors prospectively assessed baseline and 12-month patient-reported outcomes (PROs) via telephone interviews. The PROs assessed were those ascertained using the Oswestry Disability Index (ODI), EQ-5D, and numeric rating scale (NRS) for back pain (BP) and leg pain (LP). Variables analyzed for the predictive model included age, gender, body mass index, race, education level, history of prior surgery, smoking status, comorbid conditions, American Society of Anesthesiologists (ASA) score, symptom duration, indication for surgery, number of levels surgically treated, history of fusion surgery, surgical approach, receipt of workers’ compensation, liability insurance, insurance status, and ambulatory ability. To create a predictive model, each 12-month PRO was treated as an ordinal dependent variable and a separate proportional-odds ordinal logistic regression model was fitted for each PRO.RESULTSThere was a significant improvement in all PROs (p < 0.0001) at 12 months following lumbar spine surgery. The most important predictors of overall disability, QOL, and pain outcomes following lumbar spine surgery were employment status, baseline NRS-BP scores, psychological distress, baseline ODI scores, level of education, workers’ compensation status, symptom duration, race, baseline NRS-LP scores, ASA score, age, predominant symptom, smoking status, and insurance status. The prediction discrimination of the 4 separate novel predictive models was good, with a c-index of 0.69 for ODI, 0.69 for EQ-5D, 0.67 for NRS-BP, and 0.64 for NRS-LP (i.e., good concordance between predicted outcomes and observed outcomes).CONCLUSIONSThis study found that preoperative patient-specific factors derived from a prospective national outcomes registry significantly influence PRO measures of treatment effectiveness at 12 months after lumbar surgery. Novel predictive models constructed with these data hold the potential to improve surgical effectiveness and the overall value of spine surgery by optimizing patient selection and identifying important modifiable factors before a surgery even takes place. Furthermore, these models can advance patient-focused care when used as shared decision-making tools during preoperative patient counseling.

Pancreatic cancer has one of the lowest survival rates of all cancers. The mechanism underlying chemo-resistance of pancreatic cancer is not well understood. Our previous article reported that small molecule YM155 induced apoptosis in pancreatic cancer cells via activation of death receptor 5. In this study, we aim to continuously address death receptor 5–mediated apoptosis in chemo-resistant pancreatic carcinoma. We found that in comparison to paired pancreatic cancer tissues and adjacent normal tissues, five of the six cancer tissues had downregulated death receptor 5 and upregulated Bcl-xL. Mono treatment with lexatumumab was not sufficient to induce apoptosis in pancreatic cancer cells, whereas focal adhesion kinase inhibitor PF573228 significantly sensitized lexatumumab-induced apoptosis. Western blotting analysis revealed that lexatumumab and PF573228 combination treatment increased death receptor 5 but decreased Bcl-xL expression. Interestingly, pre-treatment with Bcl-xL inhibitor ABT263 reversed the insensitivity of panc-1 cells to lexatumumab or PF573228-induced apoptosis. Specific small interfering RNA-mediated gene silencing of Bcl-xL effectively sensitized pancreatic cancer cells to lexatumumab or PF573228-induced apoptosis. Furthermore, lexatumumab and PF573228 combination was shown to exhibit significant xenograft pancreatic tumor growth inhibition in SCID mice. Our data provide fundamental evidence to support the notion that lexatumumab and PF573228 co-treatment could be a potentially effective regime for patients with pancreatic cancer.

ABSTRACTBackgroundAlarm fatigue (AF) is a distressing factor for staff and patients in the hospital. Using cardiac telemetry (CT) without clinical indications can create unnecessary alarms, and increase AF and cost of healthcare. We sought to reduce AF and cost associated with CT monitoring.MethodsAfter implementing a new protocol for CT placement, data were collected on telemetry orders, alarms and bed cost for 13 weeks from 1 January 2015 through 31 March 2015. We also retrospectively collected data on the same variables for the 13 weeks prior to the intervention. A survey was administered to nurses to assess past and present perceptions of AF. Interventions included protocol creation and education for participants.ResultsAt baseline, 77% of patients were monitored with CT. A total of 145 (31%) order discrepancies were discovered during data collection, of which 72% had no indication for CT, so CT was discontinued. The other 28% had indications, so orders were placed. A total of 8336 alarms were recorded during 4 weeks of data collection, of which 333 (4%) were classified as true actionable alarms. Postintervention data showed 67% CT assignment with 10% reduction in CT usage, with no increase in mortality (p&lt;0.001 and &gt;0.05, respectively). A 42% cost reduction was achieved after adjusting the patient status. Nurses reported 27% perceived reduction in AF. One-year follow-up revealed that 69% of patients were being monitored by CT, and the rate of order discrepancies due to lack of indication was 9%.ConclusionAll hospital units may benefit from the protocols created during this study. If applied appropriately, these protocols can lead to reduced AF and cost per episode of care.

Single-cell diversity in the brain The cells that make up an organism may all start from one genome, but somatic mutations mean that somewhere along the line of development, an organism's individual cellular genomes diverge. McConnell et al. review the implications and causes of single-cell genomic diversity for brain function. Somatic mutations caused by mobile genetic elements or errors in DNA repair may underlie certain neuropsychiatric disorders. Science , this issue p. eaal1641

Nanoliposomal irinotecan (nal‐IRI) is a liposomal formulation of irinotecan with a longer half‐life (t1/2), higher plasma total irinotecan (tIRI), and lower SN‐38 maximum concentration (Cmax) compared with nonliposomal irinotecan. Population pharmacokinetic (PK) analysis of nal‐IRI was performed for tIRI and total SN‐38 (tSN38) using patient samples from six studies. PK‐safety association was evaluated for neutropenia and diarrhea in 353 patients. PK‐efficacy association was evaluated from a phase III study in pancreatic cancer NAPOLI1. Efficacy was associated with longer duration of unencapsulated SN‐38 (uSN38) above a threshold and higher Cavgof tIRI, tSN38, and uSN38. Neutropenia was associated with uSN38Cmaxand diarrhea with tIRICmax. Baseline predictive factors were race, body surface area, and bilirubin. Analysis identified PK factors associated with efficacy, safety, and predictive baseline factors. The results support the benefit of nal‐IRI dose of 70 mg/m2(free‐base; equivalent to 80 mg/m2salt base) Q2W over 100 mg/m2Q3W.