Shoulder Arthroplasty in the Upper Extremity Weight-bearing Patient: A Systematic Review of Clinical Outcomes and Complications.

BACKGROUND: Patients who rely on their upper extremities for ambulation, or upper extremity ambulators (UEAs), place considerable stress on their shoulders through the use of assistive devices like walkers, crutches, canes, and wheelchairs. It has been postulated that UEAs may be at increased risk for complications following shoulder arthroplasty. This study aimed to systematically review the literature related to (1) patient-reported outcomes measures (PROMs), (2) functional outcomes, and (3) complications in UEAs who undergo shoulder arthroplasty. METHODS: A systematic review of the PubMed/MEDLINE, Embase, and Cochrane databases was performed to identify studies reporting clinical outcomes of shoulder arthroplasty in UEAs. Patient demographics, clinical characteristics, PROMs, radiographic outcomes, and postoperative range of motion were collected and compared to control patients (i.e. bipedal ambulators) from the constituent studies. RESULTS: A total of eight studies evaluating 248 UEA cases and 206 control cases were included for review. Ambulatory assistive devices utilized by UEAs included walkers (39%), wheelchairs (38%), canes (22%), and a crutch (<1%). Among UEA cases, 197 (79%) reverse total shoulder arthroplasty, 37 (15%) anatomic total shoulder arthroplasty, and 14 (6%) hemiarthroplasty were performed. Overall, patients exhibited significant improvements in mean American Shoulder and Elbow Surgeons (ASES) scores, Constant-Murley scores, Simple Shoulder Test (SST) scores, and Visual Analog Scale (VAS) scores postoperatively. Among 3 studies that included comparison with control groups of bipedal ambulators, no significant differences in outcomes were identified. The overall clinical complication rate was 17% for UEAs compared to 9.1% for controls. The rate of revision surgery was 7.7% for UEAs and 4.9% for bipedal ambulators. CONCLUSIONS: UEAs experience satisfactory pain relief, functional improvements, and good subjective outcomes following shoulder arthroplasty. However, complication and revision rates are higher compared to those for bipedal ambulators, and the majority of UEAs undergo reverse shoulder arthroplasty (RSA) compared to anatomic total shoulder arthroplasty (aTSA).

Lateral Brain Displacement and Cerebral Autoregulation in Acutely Comatose Patients.

OBJECTIVES: Lateral displacement and impaired cerebral autoregulation are associated with worse outcomes following acute brain injury, but their effect on long-term clinical outcomes remains unclear. We assessed the relationship between lateral displacement, disturbances to cerebral autoregulation, and clinical outcomes in acutely comatose patients. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Neurocritical care unit of the Johns Hopkins Hospital. PATIENTS: Acutely comatose patients (Glasgow Coma Score ≤ 8). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Cerebral oximetry index, derived from near-infrared spectroscopy multimodal monitoring, was used to evaluate cerebral autoregulation. Associations between lateral brain displacement, global cerebral autoregulation, and interhemispheric cerebral autoregulation asymmetry were assessed using mixed random effects models with random intercept. Patients were grouped by functional outcome, determined by the modified Rankin Scale. Associations between outcome group, lateral displacement, and cerebral oximetry index were assessed using multivariate linear regression. Increasing lateral brain displacement was associated with worsening global cerebral autoregulation (p = 0.01 septum; p = 0.05 pineal) and cerebral autoregulation asymmetry (both p < 0.001). Maximum lateral displacement during the first 3 days of coma was significantly different between functional outcome groups at hospital discharge (p = 0.019 pineal; p = 0.008 septum), 3 months (p = 0.026; p = 0.007), 6 months (p = 0.018; p = 0.010), and 12 months (p = 0.022; p = 0.012). Global cerebral oximetry index was associated with functional outcomes at 3 months (p = 0.019) and 6 months (p = 0.013). CONCLUSIONS: During the first 3 days of acute coma, increasing lateral brain displacement is associated with worsening global cerebral autoregulation and cerebral autoregulation asymmetry, and poor long-term clinical outcomes in acutely comatose patients. The impact of acute interventions on outcome needs to be explored.

Optimizing Mean Arterial Pressure in Acutely Comatose Patients Using Cerebral Autoregulation Multimodal Monitoring With Near-Infrared Spectroscopy.

OBJECTIVES: This study investigated whether comatose patients with greater duration and magnitude of clinically observed mean arterial pressure outside optimal mean arterial blood pressure have worse outcomes than those with mean arterial blood pressure closer to optimal mean arterial blood pressure calculated by bedside multimodal cerebral autoregulation monitoring using near-infrared spectroscopy. DESIGN: Prospective observational study. SETTING: Neurocritical Care Unit of the Johns Hopkins Hospital. SUBJECTS: Acutely comatose patients secondary to brain injury. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The cerebral oximetry index was continuously monitored with near-infrared spectroscopy for up to 3 days. Optimal mean arterial blood pressure was defined as that mean arterial blood pressure at the lowest cerebral oximetry index (nadir index) for each 24-hour period of monitoring. Kaplan-Meier analysis and proportional hazard regression models were used to determine if survival at 3 months was associated with a shorter duration of mean arterial blood pressure outside optimal mean arterial blood pressure and the absolute difference between clinically observed mean arterial blood pressure and optimal mean arterial blood pressure. A total 91 comatose patients were enrolled in the study. The most common etiology was intracerebral hemorrhage. Optimal mean arterial blood pressure could be calculated in 89 patients (97%), and the median optimal mean arterial blood pressure was 89.7 mm Hg (84.6-100 mm Hg). In multivariate proportional hazard analysis, duration outside optimal mean arterial blood pressure of greater than 80% of monitoring time (adjusted hazard ratio, 2.13; 95% CI, 1.04-4.41; p = 0.04) and absolute difference between clinically observed mean arterial blood pressure and optimal mean arterial blood pressure of more than 10 mm Hg (adjusted hazard ratio, 2.44; 95% CI, 1.21-4.92; p = 0.013) were independently associated with mortality at 3 months, after adjusting for brain herniation, admission Glasgow Coma Scale, duration on vasopressors and midline shift at septum. CONCLUSIONS: Comatose neurocritically ill adults with an absolute difference between clinically observed mean arterial blood pressure and optimal mean arterial blood pressure greater than 10 mm Hg and duration outside optimal mean arterial blood pressure greater than 80% had increased mortality at 3 months. Noninvasive near-infrared spectroscopy-based bedside calculation of optimal mean arterial blood pressure is feasible and might be a promising tool for cerebral autoregulation oriented-therapy in neurocritical care patients.

Correction to: Intraoperative cerebral oximetry-based management for optimizing perioperative outcomes: a meta-analysis of randomized controlled trials.

In the article entitled "Intraoperative cerebral oximetry-based management for optimizing perioperative outcomes: a meta-analysis of randomized controlled trials" Can J Anesth 2018; 65: 529-42, we wish to clarify the following items.

Determining the Upper and Lower Limits of Cerebral Autoregulation With Cerebral Oximetry Autoregulation Curves: A Case Series.

OBJECTIVE: Critical care guidelines recommend a single target value for mean arterial blood pressure in critically ill patients. However, growing evidence regarding cerebral autoregulation challenges this concept and supports individualizing mean arterial blood pressure targets to prevent brain and kidney hypo- or hyperperfusion. Regional cerebral oxygen saturation derived from near-infrared spectroscopy is an acceptable surrogate for cerebral blood flow and has been validated to measure cerebral autoregulation. This study suggests a novel mechanism to construct autoregulation curves based on near-infrared spectroscopy-measured cerebral oximetry. DESIGN: Case-series study. SETTING: Neurocritical care unit in a tertiary medical center. PATIENTS: Patients with acute neurologic injury and Glasgow coma scale score less than or equal to 8. MEASUREMENTS AND MAIN RESULTS: Autoregulation curves were plotted using the fractional-polynomial model in Stata after multimodal continuous monitoring of regional cerebral oxygen saturation and mean arterial blood pressure. Individualized autoregulation curves of seven patients exhibited varying upper and lower limits of autoregulation and provided useful clinical information on the autoregulation trend (curves moving to the right or left during the acute coma period). The median lower and upper limits of autoregulation were 86.5 mm Hg (interquartile range, 74-93.5) and 93.5 mm Hg (interquartile range, 83-99), respectively. CONCLUSIONS: This case-series study showed feasibility of delineating real trends of the cerebral autoregulation plateau and direct visualization of the cerebral autoregulation curve after at least 24 hours of recording without manipulation of mean arterial blood pressure by external stimuli. The integration of multimodal monitoring at the bedside with cerebral oximetry provides a noninvasive method to delineate daily individual cerebral autoregulation curves.

Effect of Body Temperature on Cerebral Autoregulation in Acutely Comatose Neurocritically Ill Patients.

OBJECTIVES: Impaired cerebral autoregulation following neurologic injury is a predictor of poor clinical outcome. We aimed to assess the relationship between body temperature and cerebral autoregulation in comatose patients. DESIGN: Retrospective analysis of prospectively collected data. SETTING: Neurocritical care unit of the Johns Hopkins Hospital. PATIENTS: Eighty-five acutely comatose patients (Glasgow Coma Scale score of ≤ 8) admitted between 2013 and 2017. INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: Cerebral autoregulation was monitored using multimodal monitoring with near-infrared spectroscopy-derived cerebral oximetry index. Cerebral oximetry index was calculated as a Pearson correlation coefficient between low-frequency changes in regional cerebral oxygenation saturation and mean arterial pressure. Patients were initially analyzed together, then stratified by temperature pattern over the monitoring period: no change (< 1°C difference between highest and lowest temperatures; n = 11), increasing (≥ 1°C; n = 9), decreasing (≥ 1°C; n = 9), and fluctuating (≥ 1°C difference but no sustained direction of change; n = 56). Mixed random effects models with random intercept and multivariable logistic regression analysis were used to assess the association between hourly temperature and cerebral oximetry index, as well as between temperature and clinical outcomes. Cerebral oximetry index showed a positive linear relationship with temperature (ß = 0.04 ± 0.10; p = 0.29). In patients where a continual increase or decrease in temperature was seen during the monitoring period, every 1°C change in temperature resulted in a cerebral oximetry index change in the same direction by 0.04 ± 0.01 (p < 0.001) and 0.02 ± 0.01 (p = 0.12), respectively, after adjusting for PaCO2, hemoglobin, mean arterial pressure, vasopressor and sedation use, and temperature probe location. There was no significant difference in mortality or poor outcome (modified Rankin Scale score of 4-6) between temperature pattern groups at discharge, 3, or 6 months. CONCLUSIONS: In acute coma patients, increasing body temperature is associated with worsening cerebral autoregulation as measured by cerebral oximetry index. More studies are needed to clarify the impact of increasing temperature on cerebral autoregulation in patients with acute brain injury.

Cognitive Decline after Delirium in Patients Undergoing Cardiac Surgery.

WHAT WE ALREADY KNOW ABOUT THIS TOPIC: Cardiac surgery is associated with cognitive decline and postoperative delirium. The relationship between postoperative delirium and cognitive decline after cardiac surgery is unclear WHAT THIS ARTICLE TELLS US THAT IS NEW: The development of postoperative delirium is associated with a greater degree of cognitive decline 1 month after cardiac surgery. The development of postoperative delirium is not a predictor of cognitive decline 1 yr after cardiac surgery. BACKGROUND: Delirium is common after cardiac surgery and has been associated with morbidity, mortality, and cognitive decline. However, there are conflicting reports on the magnitude, trajectory, and domains of cognitive change that might be affected. The authors hypothesized that patients with delirium would experience greater cognitive decline at 1 month and 1 yr after cardiac surgery compared to those without delirium. METHODS: Patients who underwent coronary artery bypass and/or valve surgery with cardiopulmonary bypass were eligible for this cohort study. Delirium was assessed with the Confusion Assessment Method. A neuropsychologic battery was administered before surgery, at 1 month, and at 1 yr later. Linear regression was used to examine the association between delirium and change in composite cognitive Z score from baseline to 1 month (primary outcome). Secondary outcomes were domain-specific changes at 1 month and composite and domain-specific changes at 1 yr. RESULTS: The incidence of delirium in 142 patients was 53.5%. Patients with delirium had greater decline in composite cognitive Z score at 1 month (greater decline by -0.29; 95% CI, -0.54 to -0.05; P = 0.020) and in the domains of visuoconstruction and processing speed. From baseline to 1 yr, there was no difference between delirious and nondelirious patients with respect to change in composite cognitive Z score, although greater decline in processing speed persisted among the delirious patients. CONCLUSIONS: Patients who developed delirium had greater decline in a composite measure of cognition and in visuoconstruction and processing speed domains at 1 month. The differences in cognitive change by delirium were not significant at 1 yr, with the exception of processing speed.

Intraoperative cerebral oximetry-based management for optimizing perioperative outcomes: a meta-analysis of randomized controlled trials.

PURPOSE: Although evidence from observational studies in a variety of clinical settings supports the utility of cerebral oximetry as a predictor of outcomes, prospective clinical trials thus far have reported conflicting results. This systematic review and meta-analysis was designed to evaluate the influence of management associated with intraoperative cerebral oximetry on postoperative outcomes. The primary outcome was postoperative cognitive dysfunction (POCD), with secondary outcomes that included postoperative delirium, length of intensive care unit (ICU) stay, and hospital length of stay (LOS). SOURCE: After searching the PubMed, EMBASE, Cochrane Library, Scopus, and Google Scholar databases, all randomized controlled trials (RCTs) assessing the impact of intraoperative cerebral oximetry-guided management on clinical outcomes following surgery were identified. PRINCIPAL FINDINGS: Fifteen RCTs comprising 2,057 patients (1,018 in the intervention group and 1,039 in control group) were included. Intraoperative management guided by the use of cerebral oximetry was associated with a reduction in the incidence of POCD (risk ratio [RR] 0.54; 95% confidence interval [CI], 0.33 to 0.90; P = 0.02; I2 = 85%) and a significantly shorter length of ICU stay (standardized mean difference [SMD], -0.21 hr; 95% CI, -0.37 to -0.05; P = 0.009; I2 = 48%). In addition, overall hospital LOS (SMD, -0.06 days; 95% CI, -0.18 to 0.06; P = 0.29; I2 = 0%) and incidence of postoperative delirium (RR, 0.69; 95% CI, 0.36 to 1.32; P = 0.27; I2 = 0%) were not impacted by the use of intraoperative cerebral oximetry. CONCLUSIONS: Intraoperative cerebral oximetry appears to be associated with a reduction in POCD, although this result should be interpreted with caution given the significant heterogeneity in the studies examined. Further large (ideally multicentre) RCTs are needed to clarify whether POCD can be favourably impacted by the use of cerebral oximetry-guided management.

Predictors of Outcome With Cerebral Autoregulation Monitoring: A Systematic Review and Meta-Analysis.

OBJECTIVE: To compare cerebral autoregulation indices as predictors of patient outcome and their dependence on duration of monitoring. DATA SOURCES: Systematic literature search and meta-analysis using PubMed, EMBASE, and the Cochrane Library from January 1990 to October 2015. STUDY SELECTION: We chose articles that assessed the association between cerebral autoregulation indices and dichotomized or continuous outcomes reported as standardized mean differences or correlation coefficients (R), respectively. Animal and validation studies were excluded. DATA EXTRACTION: Two authors collected and assessed the data independently. The studies were grouped into two sets according to the type of analysis used to assess the relationship between cerebral autoregulation indices and predictors of outcome (standardized mean differences or R). DATA SYNTHESIS: Thirty-three studies compared cerebral autoregulation indices and patient outcomes using standardized mean differences, and 20 used Rs. The only data available for meta-analysis were from patients with traumatic brain injury or subarachnoid hemorrhage. Based on z score analysis, the best three cerebral autoregulation index predictors of mortality or Glasgow Outcome Scale for patients with traumatic brain injury were the pressure reactivity index, transcranial Doppler-derived mean velocity index based on cerebral perfusion pressure, and autoregulation reactivity index (z scores: 8.97, 6.01, 3.94, respectively). Mean velocity index based on arterial blood pressure did not reach statistical significance for predicting outcome measured as a continuous variable (p = 0.07) for patients with traumatic brain injury. For patients with subarachnoid hemorrhage, autoregulation reactivity index was the only cerebral autoregulation index that predicted patient outcome measured with the Glasgow Outcome Scale as a continuous outcome (R = 0.82; p = 0.001; z score, 3.39). We found a significant correlation between the duration of monitoring and predictive value for mortality (R = 0.78; p < 0.001). CONCLUSIONS: Three cerebral autoregulation indices, pressure reactivity index, mean velocity index based on cerebral perfusion pressure, and autoregulation reactivity index were the best outcome predictors for patients with traumatic brain injury. For patients with subarachnoid hemorrhage, autoregulation reactivity index was the only cerebral autoregulation index predictor of Glasgow Outcome Scale. Continuous assessment of cerebral autoregulation predicted outcome better than intermittent monitoring.

Cerebral Autoregulation-oriented Therapy at the Bedside: A Comprehensive Review.

This comprehensive review summarizes the evidence regarding use of cerebral autoregulation-directed therapy at the bedside and provides an evaluation of its impact on optimizing cerebral perfusion and associated functional outcomes. Multiple studies in adults and several in children have shown the feasibility of individualizing mean arterial blood pressure and cerebral perfusion pressure goals by using cerebral autoregulation monitoring to calculate optimal levels. Nine of these studies examined the association between cerebral perfusion pressure or mean arterial blood pressure being above or below their optimal levels and functional outcomes. Six of these nine studies (66%) showed that patients for whom median cerebral perfusion pressure or mean arterial blood pressure differed significantly from the optimum, defined by cerebral autoregulation monitoring, were more likely to have an unfavorable outcome. The evidence indicates that monitoring of continuous cerebral autoregulation at the bedside is feasible and has the potential to be used to direct blood pressure management in acutely ill patients.

Relation between bispectral index measurements of anesthetic depth and postoperative mortality: a meta-analysis of observational studies.

INTRODUCTION: The association between anesthesia depth and mortality is still controversial. There are a number of narrative reviews on this topic that affirm this association, but their conclusions were based only on qualitative analyses. The aim of this meta-analysis of observational studies was to examine the potential association between depth of anesthesia as a low bispectral index (BIS) and mortality using appropriate quantitative methods. METHODS: The literature was systematically reviewed in three main electronic databases (MEDLINE, EMBASE, Google Scholar) to identify all articles from inception through December 2015 regarding the association between depth of anesthesia and mortality. Inclusion criteria were restricted to observational studies that used multivariable Cox proportional regression methodology and reported adjusted hazard ratios (aHR). Pooled effect size was measured using a random effects model. Subgroup analysis was performed post hoc based on follow-up duration (30 days and ≥ one year). RESULTS: Eight observational studies that included 40,317 patients were evaluated in this meta-analysis. The results showed a statistically significant association between the depth of anesthesia as measured by low BIS (< 40-45), and mortality (pooled aHR, 1.21; 95% CI, 1.07 to 1.38; P = 0.003). Subgroup analysis showed that the association between depth of anesthesia (measured by low BIS) and mortality was significant for studies with a follow-up duration of ≥ one year (n = 23,347; pooled aHR, 1.10; 95% CI, 1.00 to 1.21; P = 0.04) but was not significant for studies with a follow-up duration of 30 days (n = 16,970; pooled aHR, 1.38; 95% CI = 0.81 to 2.36; P = 0.24). CONCLUSION: Existing observational studies support a significant association between depth of anesthesia (as measured by BIS) and long-term mortality (≥ one year), although it was without statistical significance at 30 days. Larger prospective, randomized trials are necessary to establish a definitive conclusion about whether this association represents true causality or is an epiphenomenon.

Validation of Near-Infrared Spectroscopy for Monitoring Cerebral Autoregulation in Comatose Patients.

BACKGROUND: Transcranial Doppler (TCD) noninvasively measures cerebral blood flow (CBF) velocity and is a well-studied method to monitor cerebral autoregulation (CA). Near-infrared spectroscopy (NIRS) has emerged as a promising noninvasive method to determine CA continuously by using regional cerebral oxygen saturation (rSO2) as a surrogate for CBF. Little is known about its accuracy to determine CA in patients with intracranial lesions. The purpose of this study was to assess the accuracy of rSO2-based CA monitoring with TCD methods in comatose patients with acute neurological injury. METHODS: Thirty-three comatose patients were monitored at the bedside to measure CA using both TCD and NIRS. Patients were monitored daily for up to three days from coma onset. The cerebral oximetry index (COx) was calculated as the moving correlation between the slow waves of rSO2 and mean arterial pressure (MAP). The mean velocity index (Mx) was calculated as a similar coefficient between slow waves of TCD-measured CBF velocity and MAP. Optimal blood pressure was defined as the MAP with the lowest Mx and COx. Averaged Mx and COx as well as optimal MAP, based on both Mx and COx, were compared using Pearson's correlation. Bias analysis was performed between these same CA metrics. RESULTS: The median duration of monitoring was 60 min (interquartile range [IQR] 48-78). There was a moderate correlation between the averaged values of COx and Mx (R = 0.40, p = 0.005). Similarly, there was a strong correlation between optimal MAP calculated for COx and Mx (R = 0.87, p < 0.001). Bland-Altman analysis showed moderate agreement with bias (±standard deviation) of -0.107 (±0.191) for COx versus Mx and good agreement with bias of 1.90 (±7.94) for optimal MAP determined by COx versus Mx. CONCLUSIONS: Monitoring CA with NIRS-derived COx is correlated and had good agreement with previously validated TCD-based method. These results suggest that COx may be an acceptable substitute for Mx monitoring in patients with acute intracranial injury.

Revealing the association between cerebrovascular accidents and ambient temperature: a meta-analysis.

The association between cerebrovascular accidents (CVA) and weather has been described across several studies showing multiple conflicting results. In this paper, we aim to conduct a meta-analysis to further clarify this association, as well as to find the potential sources of heterogeneity. PubMed, EMBASE, and Google Scholar were searched from inception through 2015, for articles analyzing the correlation between the incidence of CVA and temperature. A pooled effect size (ES) was estimated using random effects model and expressed as absolute values. Subgroup analyses by type of CVA were also performed. Heterogeneity and influence of covariates-including geographic latitude of the study site, male percentage, average temperature, and time interval-were assessed by meta-regression analysis. Twenty-six articles underwent full data extraction and scoring. A total of 19,736 subjects with CVA from 12 different countries were included and grouped as ischemic strokes (IS; n = 14,199), intracerebral hemorrhages (ICH; n = 3798), and subarachnoid hemorrhages (SAH; n = 1739). Lower ambient temperature was significantly associated with increase in incidence of overall CVA when using unadjusted (pooled ES = 0.23, P < 0.001) and adjusted data (pooled ES = 0.03, P = 0.003). Subgroup analyses showed that lower temperature has higher impact on the incidence of ICH (pooled ES = 0.34, P < 0.001), than that of IS (pooled ES = 0.22, P < 0.001) and SAH (pooled ES = 0.11, P = 0.012). In meta-regression analysis, the geographic latitude of the study site was the most influencing factor on this association (Z-score = 8.68). Synthesis of the existing data provides evidence supporting that a lower ambient temperature increases the incidence of CVA. Further population-based studies conducted at negative latitudes are needed to clarify the influence of this factor.

Finer gauge of cutting but not pencil-point needles correlate with lower incidence of post-dural puncture headache: a meta-regression analysis.

PURPOSE: Post-dural puncture headache (PDPH) is a well-known neurological outcome caused by leakage of cerebrospinal fluid during neuraxial anesthesia. Studies aimed at assessing the efficacy of finer gauged spinal needles to reduce the incidence of PDPH have produced conflicting results. We have therefore examined the effect of the gauge of cutting needles and pencil-point needles, separately, on the incidence of PDPH. METHODS: The PubMed, EMBASE and Google Scholar databases were searched for randomized studies which compared PDPH incidence in a head-to-head analysis of individual needle gauges of similar needle designs (cutting and pencil-point). A meta-regression analysis was performed taking into account various covariates, such as needle gauge and design, mean age of patient population, surgery type, percentage of males and females in study population and year of publication. RESULTS: Of the 22 studies (n = 5631) included in the analysis, 12 (n = 3148) and ten (n = 2483) compared different gauges of cutting needles and pencil-point needles, respectively. After adjusting for covariates, meta-regression analysis was performed for all studies that randomly compared individual needle gauges of similar needle design. Whereas the incidence of PDPH inversely correlated with gauge in cutting needles (ß = -1.36 % per gauge, P = 0.037), no relationship was noted in pencil-point needles (ß = -0.32 % per gauge, P = 0.114). Female gender was the only covariate that reached a statistically significant correlation with the incidence of PDPH in both models. CONCLUSIONS: A significant relationship between needle gauge and subsequent rate of PDPH was noted in cutting needles, but not pencil-point needles.

Nicotinamide riboside and caffeine partially restore diminished NAD availability but not altered energy metabolism in Alzheimer's disease.

The redox co-factor nicotinamide adenine dinucleotide (NAD) declines with age, and NAD deficits are specifically associated with dysfunctional energy metabolism in late-onset Alzheimer's disease (LOAD). Nicotinamide riboside (NR), a dietary NAD precursor, has been suggested to ameliorate the aging process or neurodegeneration. We assessed whether NR with or without caffeine, which increases nicotinamide mononucleotide transferase subtype 2 (NMNAT2), an essential enzyme in NAD production, modulates bioenergetic functions in LOAD. In LOAD patients-and young or old control individuals-derived dermal fibroblasts as well as in induced pluripotent stem cell-differentiated neural progenitors and astrocytes, NR and caffeine cell type-specifically increased the NAD pool, transiently enhanced mitochondrial respiration or glycolysis and altered the expression of genes in the NAD synthesis or consumption pathways. However, continued treatment led to reversed bioenergetic effects. Importantly, NR and caffeine did not alter the characteristics of a previously documented inherent LOAD-associated bioenergetic phenotype. Thus, although NR and caffeine can partially restore diminished NAD availability, increasing NAD alone may not be sufficient to boost or restore energy metabolism in brain aging or alter aberrant energy management in LOAD. Nicotinamide riboside might still be of value in combination with other agents in preventive or therapeutic intervention strategies to address the aging process or age-associated dementia.

Comparing three wearable accelerometers to measure early activity after cardiac surgery.

Objective: Wearable activity monitors can provide detailed data on activity after cardiac surgery and discriminate a patient's risk for hospital-based outcomes. However, comparative data for different monitoring approaches, as well as predictive ability over clinical characteristics, are lacking. In addition, data on specific thresholds of activity are needed. The objective of this study was to compare 3 wearable activity monitors and 1 observational mobility scale in discriminating risk for 3 hospital-based outcomes, and to establish clinically relevant step thresholds. Methods: Cardiac surgery patients were enrolled between June 2016 and August 2017 in a cohort study. Postoperative activity was measured by 3 accelerometry monitors (StepWatch Ambulation Monitor, Fitbit Charge HR, and ActiGraph GT9X) and 1 nurse-based observation scale. Monitors represent a spectrum of characteristics, including wear location (ankle/wrist), output (activity counts/steps), consumer accessibility, and cost. Primary outcomes were duration of hospitalization >7 days, discharge to a nonhome location, and 30-day readmission. Results: Data were available from 193 patients (median age 67 years [interquartile range, 58-72]). All postoperative day 2 activity metrics (ie, from StepWatch, Fitbit, ActiGraph, and the observation scale) were independently associated with prolonged hospitalization and discharge to a nonhome location. Only steps as measured by StepWatch was independently associated with 30-day readmission. Overall, StepWatch provided the greatest discrimination (C-statistics 0.71-0.76 for all outcomes). Step thresholds between 250 and 500 steps/day identified between 74% and 96% of patients with any primary outcome. Conclusions: Data from wearable accelerometers provide additive value in early postoperative risk-stratification for hospital-based outcomes. These results both support and provide guidance for activity-monitoring programs after cardiac surgery.

Patient Characteristics Influencing Adherence to Enhanced Recovery Protocols for Colorectal Surgery: a Multicentric Prospective Study.

BACKGROUND: High compliance within enhanced recovery protocols is associated with lower complication rates. Understanding which clinical characteristics make patients more prone to fail adequate adherence to enhanced recovery after surgery guidelines are essential to improve quality care. Our aim was to identify patient characteristics that influence adherence to enhanced recovery protocols in colorectal surgery. METHODS: A total of 1041 patients underwent colorectal surgery under ERPs from September 2017 through December 2017 across 21 institutions in Spain. Demographic, medical, and surgical characteristics of the patients included were extracted to determine their influence on the adherence to enhanced recovery protocols. High adherence was defined as ≥ 73% (median). A univariate analysis was performed initially, followed by multivariable logistic regression analysis. RESULTS: Over 85% of the patients underwent colorectal surgery for cancer resection, of which 12% had metastatic disease. In multivariable model, the presence of coronary artery disease (aOR 1.79, 95% CI 1.12-2.96, p = 0.045) was significantly associated with high adherence to enhanced recovery protocols, while preoperative hypoalbuminemia (aOR 0.55, 95% CI 0.37-0.82, p = 0.003), indication for ostomy (aOR 0.55, 95% CI 0.4-0.75, p < 0.001), and preoperative transfusion (aOR 0.48, 95% CI 0.26-0.91, p = 0.02) were associated with lower adherence. CONCLUSION: In this study, patients that had preoperative transfusions, preoperative hypoalbuminemia, and indication for ostomy were more likely to receive care with less adherence to enhanced recovery protocols elements, while patients with coronary artery disease were more likely to receive more enhanced recovery protocols elements during their hospitalization.

Enhanced Recovery Programs for Colorectal Surgery and Postoperative Acute Kidney Injury: Results From a Systematic Review and Meta-Analysis of Observational Studies.

BACKGROUND: Enhanced recovery programs (ERPs) for colorectal surgery bundle evidence-based measures to reduce complications, accelerate postoperative recovery, and improve the value of perioperative health care. Despite these successes, several recent studies have identified an association between ERPs and postoperative acute kidney injury (AKI). We conducted a systematic review and meta-analysis to determine the association between ERPs for colorectal surgery and postoperative AKI. METHODOLOGY: After conducting a search of major databases (PubMed, Embase, Scopus, Google Scholar, and ScienceDirect), we conducted a meta-analysis of observational studies that reported on the association between ERPs and postoperative AKI. RESULTS: Six observational studies (n = 4765 patients) comparing ERP (n = 2140) to conventional care (n = 2625) were included. Overall, ERP patients had a significantly greater odds of developing postoperative AKI (odds ratio [OR] = 1.98, 95% confidence interval [CI] 1.31-3.00, P = .001) than those who received conventional care. There was no evidence of publication bias (Begg's test P = 1.0, Egger's P value = .95). CONCLUSIONS: Based upon pooled results from observational studies, ERPs are associated with increased odds of developing postoperative AKI compared to conventional perioperative care. The mechanism for this effect is likely multifactorial. Additional research targeting high risk patient populations should evaluate the role of restrictive fluid administration, hemodynamic goals, and scheduled nephrotoxic agents in ERP protocols.

Assessment of Patient Ambulation Profiles to Predict Hospital Readmission, Discharge Location, and Length of Stay in a Cardiac Surgery Progressive Care Unit.

Importance: Promoting patient mobility during hospitalization is associated with improved outcomes and reduced risk of hospitalization-associated functional decline. Therefore, accurate measurement of mobility with high-information content data may be key to improved risk prediction models, identification of at-risk patients, and the development of interventions to improve outcomes. Remote monitoring enables measurement of multiple ambulation metrics incorporating both distance and speed. Objective: To evaluate novel ambulation metrics in predicting 30-day readmission rates, discharge location, and length of stay using a real-time location system to continuously monitor the voluntary ambulations of postoperative cardiac surgery patients. Design, Setting, and Participants: This prognostic cohort study of the mobility of 100 patients after cardiac surgery in a progressive care unit at Johns Hopkins Hospital was performed using a real-time location system. Enrollment occurred between August 29, 2016, and April 4, 2018. Data analysis was performed from June 2018 to December 2019. Main Outcomes and Measures: Outcome measures included 30-day readmission, discharge location, and length of stay. Digital records of all voluntary ambulations were created where each ambulation consisted of multiple segments defined by distance and speed. Ambulation profiles consisted of 19 parameters derived from the digital ambulation records. Results: A total of 100 patients (81 men [81%]; mean [SD] age, 63.1 [11.6] years) were evaluated. Distance and speed were recorded for more than 14 000 segments in 840 voluntary ambulations, corresponding to a total of 127.8 km (79.4 miles) using a real-time location system. Patient ambulation profiles were predictive of 30-day readmission (sensitivity, 86.7%; specificity, 88.2%; C statistic, 0.925 [95% CI, 0.836-1.000]), discharge to acute rehabilitation (sensitivity, 84.6%; specificity, 86.4%; C statistic, 0.930 [95% CI, 0.855-1.000]), and length of stay (correlation coefficient, 0.927). Conclusions and Relevance: Remote monitoring provides a high-information content description of mobility, incorporating elements of step count (ambulation distance and related parameters), gait speed (ambulation speed and related parameters), frequency of ambulation, and changes in parameters on successive ambulations. Ambulation profiles incorporating multiple aspects of mobility enables accurate prediction of clinically relevant outcomes.