Micro-heterogeneity of transmission shapes submicroscopic malaria carriage in coastal Tanzania.

BACKGROUND: Asymptomatic carriage of malaria parasites persists even as malaria transmission declines. Low density infections are often submicroscopic, not detected by rapid diagnostic tests (RDTs) or microscopy, but detectable by PCR. METHODS: To characterize submicroscopic Plasmodium falciparum carriage in an area of declining malaria transmission, asymptomatic persons >5 years of age in rural Bagamoyo District, Tanzania, were screened using RDT, microscopy, and PCR. We investigated the size of the submicroscopic reservoir of infection across villages, determined factors associated with submicroscopic carriage, and assessed the natural history of submicroscopic malaria over four weeks. RESULTS: Among 6,076 participants, P. falciparum prevalence by RDT, microscopy, and PCR was 9%, 9%, and 28%, respectively, with roughly two-thirds of PCR-positive individuals harboring submicroscopic infection. Adult status, female gender, dry season months, screened windows, and bednet use were associated with submicroscopic carriage. Among 15 villages encompassing 80% of participants, the proportion of submicroscopic carriers increased with decreasing village-level malaria prevalence. Over four weeks, 23% (61/266) of submicroscopic carriers became RDT-positive, with half exhibiting symptoms, while half (133/266) were no longer parasitemic at the end of four weeks. Progression to RDT-positive patent malaria occurred more frequently in villages with higher malaria prevalence. CONCLUSIONS: Micro-heterogeneity in transmission observed at the village level appears to impact both the size of the submicroscopic reservoir and the likelihood of submicroscopic carriers developing patent malaria in coastal Tanzania.

Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria.

BACKGROUND: The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization. METHODS: A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups. RESULTS: The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status. CONCLUSIONS: The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

A nonparametric method for classification trees using grouped covariates.

A group of variables are commonly seen in diagnostic medicine when multiple prognostic factors are aggregated into a composite score to represent the risk profile. A model selection method considers these covariates as all-in or all-out types. Model selection procedures for grouped covariates and their applications have thrived in recent years, in part because of the development of genetic research in which gene-gene or gene-environment interactions and regulatory network pathways are considered groups of individual variables. However, little has been discussed on how to utilize grouped covariates to grow a classification tree. In this paper, we propose a nonparametric method to address the selection of split variables for grouped covariates and their following selection of split points. Comprehensive simulations were implemented to show the superiority of our procedures compared to a commonly used recursive partition algorithm. The practical use of our method is demonstrated through a real data analysis that uses a group of prognostic factors to classify the successful mobilization of peripheral blood stem cells.

Household Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in the United States: Living Density, Viral Load, and Disproportionate Impact on Communities of Color.

BACKGROUND: Households are hot spots for severe acute respiratory syndrome coronavirus 2 transmission. METHODS: This prospective study enrolled 100 coronavirus disease 2019 (COVID-19) cases and 208 of their household members in North Carolina though October 2020, including 44% who identified as Hispanic or non-White. Households were enrolled a median of 6 days from symptom onset in the index case. Incident secondary cases within the household were detected using quantitative polymerase chain reaction of weekly nasal swabs (days 7, 14, 21) or by seroconversion at day 28. RESULTS: Excluding 73 household contacts who were PCR-positive at baseline, the secondary attack rate (SAR) among household contacts was 32% (33 of 103; 95% confidence interval [CI], 22%-44%). The majority of cases occurred by day 7, with later cases confirmed as household-acquired by viral sequencing. Infected persons in the same household had similar nasopharyngeal viral loads (intraclass correlation coefficient = 0.45; 95% CI, .23-.62). Households with secondary transmission had index cases with a median viral load that was 1.4 log10 higher than those without transmission (P = .03), as well as higher living density (more than 3 persons occupying fewer than 6 rooms; odds ratio, 3.3; 95% CI, 1.02-10.9). Minority households were more likely to experience high living density and had a higher risk of incident infection than did White households (SAR, 51% vs 19%; P = .01). CONCLUSIONS: Household crowding in the context of high-inoculum infections may amplify the spread of COVID-19, potentially contributing to disproportionate impact on communities of color.

A Systems-Based Analysis of Mono- and Combination Therapy for Carbapenem-Resistant Klebsiella pneumoniae Bloodstream Infections.

Antimicrobial resistance is a global threat. As "proof-of-concept," we employed a system-based approach to identify patient, bacterial, and drug variables contributing to mortality in patients with carbapenem-resistant Klebsiella pneumoniae (CRKp) bloodstream infections exposed to colistin (COL) and ceftazidime-avibactam (CAZ/AVI) as mono- or combination therapies. Patients (n = 49) and CRKp isolates (n = 22) were part of the Consortium on Resistance Against Carbapenems in Klebsiella and other Enterobacteriaceae (CRACKLE-1), a multicenter, observational, prospective study of patients with carbapenem-resistant Enterobacterales (CRE) conducted between 2011 and 2016. Pharmacodynamic activity of mono- and combination drug concentrations was evaluated over 24 h using in vitro static time-kill assays. Bacterial growth and killing dynamics were estimated with a mechanism-based model. Random Forest was used to rank variables important for predicting 30-day mortality. Isolates exposed to COL+CAZ/AVI had enhanced early bacterial killing compared to CAZ/AVI alone and fewer incidences of regrowth compared to COL and CAZ/AVI. The mean coefficient of determination (R2) for the observed versus predicted bacterial counts was 0.86 (range: 0.75 - 0.95). Bacterial subpopulation susceptibilities and drug mechanistic synergy were essential to describe bacterial killing and growth dynamics. The combination of clinical (hypotension), bacterial (IncR plasmid, aadA2, and sul3) and drug (KC50) variables were most predictive of 30-day mortality. This proof-of-concept study combined clinical, bacterial, and drug variables in a unified model to evaluate clinical outcomes.

Classification of disease recurrence using transition likelihoods with expectation-maximization algorithm.

When an infectious disease recurs, it may be due to treatment failure or a new infection. Being able to distinguish and classify these two different outcomes is critical in effective disease control. A multi-state model based on Markov processes is a typical approach to estimating the transition probability between the disease states. However, it can perform poorly when the disease state is unknown. This article aims to demonstrate that the transition likelihoods of baseline covariates can distinguish one cause from another with high accuracy in infectious diseases such as malaria. A more general model for disease progression can be constructed to allow for additional disease outcomes. We start from a multinomial logit model to estimate the disease transition probabilities and then utilize the baseline covariate's transition information to provide a more accurate classification result. We apply the expectation-maximization (EM) algorithm to estimate unknown parameters, including the marginal probabilities of disease outcomes. A simulation study comparing our classifier to the existing two-stage method shows that our classifier has better accuracy, especially when the sample size is small. The proposed method is applied to determining relapse vs reinfection outcomes in two Plasmodium vivax treatment studies from Cambodia that used different genotyping approaches to demonstrate its practical use.

Social Disparities among Sudden Death victims with HIV.

Although cardiovascular death is a growing source of mortality for people living with human immunodeficiency virus (HIV), the risk factors and circumstances surrounding sudden death in this population are poorly understood. We compared 399 adult sudden death victims reported by Emergency Medical Services in North Carolina to 1,114 controls. Sudden death was more common among HIV-positive than HIV-negative individuals (OR: 2.59, 95% CI: 1.15-5.83). In a multivariable model of sudden death victims including Black race, BMI, and history of divorce, incarceration, substance abuse, and respiratory disease, HIV-positive individuals were more likely to be Black (adjusted OR [aOR]: 6.04, 95% CI: 1.08-33.7) or divorced (aOR: 4.71, 95% CI: 1.04-21.3), adjusted for all other variables in the model. Compared to controls with HIV, sudden death victims with HIV were more likely to have a history of incarceration, divorce, respiratory disease, alcohol abuse, or dyslipidemia. A qualitative assessment of victims suggested that many died in isolation, suffering from past and current substance abuse and depression. HIV infection appears to be an important risk factor for sudden death, and incarceration history, social isolation, and medical comorbidities contribute to sudden death risk for HIV-positive individuals.

Impact of occurrence of cardiac arrest in the donor on long-term outcomes of pediatric heart transplantation.

OBJECTIVE: The impact of cardiac arrest in the donor on long-term outcomes of pediatric heart transplantation has not been studied. METHODS: The UNOS database was queried for primary pediatric heart transplantation (1999-2020). The cohort was divided into recipients who received a cardiac allograft from a donor who had a cardiac arrest (CA) versus a donor who did not (NCA). Univariable and multivariable analysis was done to compare recipient outcomes, followed by survival analysis using the Kaplan-Meier method. RESULTS: A total of 7300 patients underwent heart transplantation, of which 579 (7.9%) patients belonged to the CA group. The CA group was younger (median 3 vs. 5 years, p < .001), male (51% vs. 47%, p = .03), and smaller in weight (13 vs. 17 kg, p < .001) and height (101 vs. 109 cm, p < .001) than the NCA group. The groups were similar in recipient heart failure diagnosis and blood type. The CA donors were younger (3 vs. 6 years, p < .001) versus nonwhite (48% vs. 45%, p = .003) and died from drowning and asphyxiation compared to blunt injury and intracranial hemorrhage in the NCA group. The left-ventricular ejection fraction was similar between the groups. There was no difference in VAD and ECMO use before the transplant. The listing status, waitlist days, and allograft ischemic times were similar. Posttransplant morbidity such as stroke, dialysis, pacemaker implantation, and treated rejection were similar. Donor cardiac arrest (hazard ratio = 0.93, p = .5) was not an independent predictor of mortality on multivariable analysis. There was no survival difference even beyond 20 years of follow-up between the groups (p = .88). CONCLUSION: The occurrence of donor cardiac arrest has no impact on long-term survival in pediatric heart transplant recipients.

Complications With Surgical Treatment of Pediatric Supracondylar Humerus Fractures: Does Surgeon Training Matter?

INTRODUCTION: National trends reveal increased transfers to referral hospitals for surgical management of pediatric supracondylar humerus (SCH) fractures. This is partly because of the belief that pediatric orthopaedic surgeons (POs) deliver improved outcomes compared with nonpediatric orthopaedic surgeons (NPOs). We compared early outcomes of surgically treated SCH fractures between POs and NPOs at a single center where both groups manage these fractures. METHODS: Patients ages 3 to 10 undergoing surgery for SCH fractures from 2014 to 2020 were included. Patient demographics and perioperative details were recorded. Radiographs at surgery and short-term follow-up assessed reduction. Primary outcomes were major loss of reduction (MLOR) and iatrogenic nerve injury (INI). Complications were compared between PO-treated and NPO-treated cohorts. RESULTS: Three hundred and eleven fractures were reviewed. POs managed 132 cases, and NPOs managed 179 cases. Rate of MLOR was 1.5% among POs and 2.2% among NPOs (P=1). Rate of INI was 0% among POs and 3.4% among NPOs (P=0.041). All nerve palsies resolved postoperatively by mean 13.1 weeks. Rates of reoperation, infection, readmission, and open reduction were not significantly different. Operative times were decreased among POs (38.1 vs. 44.6 min; P=0.030). Pin constructs were graded as higher quality in the PO group, with a higher mean pin spread ratio (P=0.029), lower rate of "C" constructs (only 1 "column" engaged; P=0.010) and less frequent crossed-pin technique (P<0.001). Multivariate analysis revealed minimal positive associations only for operative time with MLOR (odds ratio=1.021; P=0.005) and INI (odds ratio=1.048; P=0.009). CONCLUSIONS: Postsurgical outcomes between POs and NPOs were similar. Rates of MLOR were not different between groups, despite differences in pin constructs. The NPO group experienced a marginally higher rate of INI, though all injuries resolved. Pediatric subspecialty training is not a prerequisite for successfully treating SCH fractures, and overall value of orthopaedic care may be improved by decreasing transfers for these common injuries. LEVEL OF EVIDENCE: Level III-retrospective cohort study.

Understanding technology adoption by orthodontists: A quantitative study.

INTRODUCTION: Digital scanning, treatment planning, 3-dimensional imaging, and printing are changing the practice of orthodontics. These tools are adopted with the hope that treatment becomes more predictable, efficient, and effective while reducing adverse outcomes. Digital tools are impacting care, but knowledge of nationwide adoption trends and motivators is incomplete. METHODS: We aimed to identify adoption decision-makers, information sources, incentives, and barriers through the first nationwide survey of American Association of Orthodontics members on their technology adoption habits, needs, and outcomes. Data were assessed using descriptive and bivariate analyses. The survey was developed from a comprehensive qualitative interview phase as part of a mixed methodology study. RESULTS: Responses (n = 343) revealed orthodontists make adoption decisions on the basis of advice from other dentists and company representatives while rarely consulting staff or research literature. Continuing education and meetings are most effective at disseminating information to practicing doctors, whereas journals generate less impact. Key adoption incentives include added capabilities, practice efficiency, ease of implementation, and performance, whereas cost is the main barrier to purchase. Early adopters with larger practices charge higher fees than other adopters to support the costs of technologies. Treatment outcome is not a primary adoption incentive for specific technologies. CONCLUSIONS: Orthodontists positively perceive the influence of intraoral scanning, cone-beam computed tomography imaging, 3-dimensional printing, computer-aided design-computer-aided manufacturing archwires, and clear aligner therapy on their practice and patient care. The orthodontic technological transformation is underway, and knowledge of adoption can guide our transition into modern practice, in which digital tools are effective adjuncts to the specialists' expertise.

Educational debt and the gender gap: Understanding factors influencing orthodontists' career decisions.

INTRODUCTION: Orthodontic residents face challenges unparalleled to their predecessors, including competitive marketplaces, rising debt burdens, and changing demographics that have contributed to the shift in initial career choice from owner to employee. We aim to understand factors important to orthodontists at different career stages and the impact on job satisfaction through a sequential mixed methodology study. METHODS: Semistructured interviews were conducted with 25 orthodontic residents and practitioners. A survey was developed from qualitative findings that explored career decision-making of orthodontic residents and practicing orthodontists, with descriptive and bivariate statistical analyses (n = 343 orthodontists and 185 residents). RESULTS: Graduating orthodontic residents are choosing employment over ownership as their initial job, prioritizing high income to offset the educational debt. The majority of residents report thinking about their debt very often to all of the time and find it very to extremely stressful. Current residents have long-term goals of ownership, whereas practicing doctors of both genders became owners at equal frequencies. However, on average, women earn $119,000 less per year and report being the primary family caretaker more often than men. CONCLUSIONS: Excellent patient care, work-life balance, and sufficient income are the most important drivers for career choices and job satisfaction for orthodontists of all ages. Despite debt, most residents and working orthodontists report a high level of job satisfaction and would recommend the field of orthodontics to others.

Orthodontic loading activates cell-specific autophagy in a force-dependent manner.

INTRODUCTION: Orthodontic tooth movement (OTM) relies on bone remodeling and controlled aseptic inflammation. Autophagy, a conserved homeostatic pathway, has been shown to play a role in bone turnover. We hypothesize that autophagy participates in regulating bone remodeling during OTM in a force-dependent and cell type-specific manner. METHODS: A split-mouth design was used to load molars with 1 of 3 force levels (15, 30, or 45 g of force) in mice carrying a green fluorescent protein-LC3 transgene to detect cellular autophagy. Fluorescent microscopy and quantitative polymerase chain reaction analyses were used to evaluate autophagy activation and its correlation with force level. Cell type-specific antibodies were used to identify cells with green fluorescent protein-positive puncta (autophagosomes) in periodontal tissues. RESULTS: Autophagic activity increased shortly after loading with moderate force and was associated with the expression of bone turnover, inflammatory, and autophagy markers. Different load levels resulted in altered degrees of autophagic activation, gene expression, and osteoclast recruitment. Autophagy was specifically induced by loading in macrophages and osteoclasts found in the periodontal ligament and alveolar bone. Data suggest autophagy participates in regulating bone turnover during OTM. CONCLUSIONS: Autophagy is induced in macrophage lineage cells by orthodontic loading in a force-dependent manner and plays a role during OTM, possibly through modulation of osteoclast bone resorption. Exploring the roles of autophagy in OTM is medically relevant, given that autophagy is associated with oral and systemic inflammatory conditions.

Dysfunctional endogenous FIX impairs prophylaxis in a mouse hemophilia B model.

Factor IX (FIX) binds to collagen IV (Col4) in the subendothelial basement membrane. In hemophilia B, this FIX-Col4 interaction reduces the plasma recovery of infused FIX and plays a role in hemostasis. Studies examining the recovery of infused BeneFix (FIXWT) in null (cross-reactive material negative, CRM-) hemophilia B mice suggest the concentration of Col4 readily available for binding FIX is ∼405 nM with a 95% confidence interval of 374 to 436 nM. Thus, the vascular cache of FIX bound to Col4 is several-fold the FIX level measured in plasma. In a mouse model of prophylactic therapy (testing hemostasis by saphenous vein bleeding 7 days after infusion of 150 IU/kg FIX), FIXWT and the increased half-life FIXs Alprolix (FIXFC) and Idelvion (FIXAlb) produce comparable hemostatic results in CRM- mice. In bleeding CRM- hemophilia B mice, the times to first clot at a saphenous vein injury site after the infusions of the FIX agents are significantly different, at FIXWT < FIXFC < FIXAlb Dysfunctional forms of FIX, however, circulate in the majority of patients with hemophilia B (CRM+). In the mouse prophylactic therapy model, none of the FIX products improves hemostasis in CRM+ mice expressing a dysfunctional FIX, FIXR333Q, that nevertheless competes with infused FIX for Col4 binding and potentially other processes involving FIX. The results in this mouse model of CRM+ hemophilia B demonstrate that the endogenous expression of a dysfunctional FIX can deleteriously affect the hemostatic response to prophylactic therapy.

Inverse probability weighted estimation for recurrent events data with missing category.

Modeling recurrent event data with multiple event types has drawn interest in recent biomedical studies due to its flexibility for understanding different risk factors for multiple recurrent event processes. However, in such data type, missing event type appears frequently because of various reasons such as recording ignorance or resource limitation. In this study, we aim to propose an inverse probability weighted estimation that is commonly used in the missing data literature to correct possibly biased estimation by a complete-case analysis. This approach is not limited to a specific form of the recurrent event model. We derive the large sample theory in a general form. We demonstrate that our approach can be applied to either multiplicative or additive rates model with practical sample size via comprehensive simulations. Nonmucoid and mucoid Pseudomonas aeruginosa infections of 14 888 patients in 2016 Cystic Fibrosis Foundation Patient Registry data are analyzed to show that, without including 12% events with missing event type in the analysis, several factors may be misidentified as risk factors for the nonmucoid type of infections.

Machine learning from clinical data sets of a contemporary decision for orthodontic tooth extraction.

OBJECTIVE: To examine the robustness of the published machine learning models in the prediction of extraction vs non-extraction for a diverse US sample population seen by multiple providers. SETTING AND SAMPLE POPULATION: Diverse group of 838 patients (208 extraction, 630 non-extraction) were consecutively enrolled. MATERIALS AND METHODS: Two sets of input features (117 and 22) including clinical and cephalometric variables were identified based on previous studies. Random forest (RF) and multilayer perception (MLP) models were trained using these feature sets on the sample population and evaluated using measures including accuracy (ACC) and balanced accuracy (BA). A technique to identify incongruent data was used to explore underlying characteristics of the data set and split all samples into 2 groups (G1 and G2) for further model training. RESULTS: Performance of the models (75%-79% ACC and 72%-76% BA) on the total sample population was lower than in previous research. Models were retrained and evaluated using G1 and G2 separately, and individual group MLP models yielded improved accuracy for G1 (96% ACC and 94% BA) and G2 (88% ACC and 85% BA). RF feature ranking showed differences between top features for G1 (maxillary crowding, mandibular crowding and L1-NB) and G2 (age, mandibular crowding and lower lip to E-plane). CONCLUSIONS: An incongruent data pattern exists in a consecutively enrolled patient population. Future work with incongruent data segregation and advanced artificial intelligence algorithms is needed to improve the generalization ability to make it ready to support clinical decision-making.

3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learning-based CBCT image auto-segmentation.

OBJECTIVE: This study aimed to quantify the 3D asymmetry of the maxilla in patients with unilateral cleft lip and palate (UCP) and investigate the defect factors responsible for the variability of the maxilla on the cleft side using a deep-learning-based CBCT image segmentation protocol. SETTING AND SAMPLE POPULATION: Cone beam computed tomography (CBCT) images of 60 patients with UCP were acquired. The samples in this study consisted of 39 males and 21 females, with a mean age of 11.52 years (SD = 3.27 years; range of 8-18 years). MATERIALS AND METHODS: The deep-learning-based protocol was used to segment the maxilla and defect initially, followed by manual refinement. Paired t-tests were performed to characterize the maxillary asymmetry. A multiple linear regression was carried out to investigate the relationship between the defect parameters and those of the cleft side of the maxilla. RESULTS: The cleft side of the maxilla demonstrated a significant decrease in maxillary volume and length as well as alveolar length, anterior width, posterior width, anterior height and posterior height. A significant increase in maxillary anterior width was demonstrated on the cleft side of the maxilla. There was a close relationship between the defect parameters and those of the cleft side of the maxilla. CONCLUSIONS: Based on the 3D volumetric segmentations, significant hypoplasia of the maxilla on the cleft side existed in the pyriform aperture and alveolar crest area near the defect. The defect structures appeared to contribute to the variability of the maxilla on the cleft side.

High Prevalence of Diabetes Mellitus and Mental Illness Among Victims of Sudden Death.

OBJECTIVES: Diabetes mellitus (DM) increases the risk of cardiovascular disease and is associated with sudden death. Mental illness among individuals with DM may confound medical care. This study assessed the association of mental illness with DM and poorly controlled DM in sudden death victims. METHODS: We screened out-of-hospital deaths ages 18 to 64 years in Wake County, North Carolina from 2013 to 2015 to adjudicate sudden deaths. We abstracted demographics and clinical characteristics from health records. Mental illness included anxiety, schizophrenia, bipolar disorder, or depression. Poorly controlled DM was defined as a hemoglobin A1c >8 or taking ≥3 medications for glycemic control. Logistic regression assessed the association between DM and mental illness. RESULTS: Among victims with available records, 109 (29.4%) had DM. Of those, 62 (56.9%) had mental illness. Mental illness was present in 53.42% and 63.89% of victims with mild and poorly controlled DM, respectively. Mental illness was associated with DM (adjusted odds ratio 2.46, 95% confidence interval 1.57-3.91). Victims with poorly controlled DM were more likely to have mental illness (adjusted odds ratio 2.66, 95% confidence interval 1.14-6.18). CONCLUSIONS: DM is a common comorbid condition in sudden death victims. Among victims, mental illness is associated with the control of DM. Early management of comorbid mental illnesses may improve the care of patients with DM and reduce the incidence of sudden death.

Musculoskeletal Health Literacy is Associated With Outcome and Satisfaction of Total Knee Arthroplasty.

BACKGROUND: The purpose of this study was to investigate if there is an association between musculoskeletal health literacy with outcome and satisfaction after total knee arthroplasty (TKA). METHODS: A cross-sectional study was performed at our tertiary center to include patients between one and six years postoperatively after primary TKA. Patients were provided a survey including basic demographics, validated musculoskeletal health literacy scale (Literacy in Musculoskeletal Problems), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and TKA satisfaction (whether they would choose to undergo the same operation again). Patients were categorized as either low or normal health literacy based on number of questions (cutoff 6 out of 9) answered correctly on the Literacy in Musculoskeletal Problems. Statistical analysis included multivariate regression with significance at P < .05. RESULTS: Four hundred fifty-three individuals fully completed the survey of eligible participants. Two hundred ninety-six individuals (65.3%) had normal health literacy, and one hundred fifty-seven individuals (34.7%) had low health literacy. Average WOMAC (/96) was 18.0 ± 19.7 in the low and 12.1 ± 15.4 in the normal health literacy groups. Patients with low health literacy had significantly higher WOMAC (worse function) than those with normal health literacy (P = .001). Patients with normal musculoskeletal health literacy were significantly more likely to undergo the same operation again (P = .01, odds ratio 2.163). CONCLUSION: This study shows that patients with low musculoskeletal health literacy have worse outcome scores and are less likely to be satisfied with their TKA. By identifying these patients preoperatively, emphasis can be placed on enhancing procedure expectations and understanding to improve outcome measures and overall satisfaction.

When Is a Growth-friendly Strategy Warranted? A Matched Comparison of Growing Rods Versus Primary Posterior Spinal Fusion in Juveniles With Early-onset Scoliosis.

BACKGROUND: In 7 to 11-year-old juveniles with severe early-onset scoliosis (EOS) the optimal surgical option remains uncertain. This study compares growing rods (GRs) followed by definitive posterior spinal fusion (PSF) versus primary PSF in this population. We hypothesized that the thoracic height afforded by GRs would be offset by increased rigidity, more complications, and more operations. METHODS: This retrospective comparative study included EOS patients aged 7.0 to 11.9 years at index surgery treated with GR→PSF or primary PSF during 2013 to 2020. Primary outcomes were thoracic height gain (ΔT1-12H), major curve, complications, and total operations. Primary PSFs were matched with replacement 1-to-n to GR→PSFs by age at index, etiology, and major curve. RESULTS: Twenty-eight GR→PSFs met criteria: 19 magnetically controlled GRs and 9 traditional GRs. Three magnetically controlled GRs were definitively explanted without PSF due to complications. The remaining 25 GR→PSFs were matched to 17 primary PSFs with 100% etiology match, mean Δ major curve 1 degree, and mean Δ age at index 0.5 years (PSFs older). Median ΔT1-12H pre-GR to post-PSF was 4.7 cm with median deformity correction of 37%. Median ΔT1-12H among primary PSFs was 1.9 cm with median deformity correction of 62%. GR→PSFs had mean 1.8 complications and 3.4 operations. Primary PSFs had mean 0.5 complications and 1.3 operations. Matched analysis showed adjusted mean differences of 2.3 cm greater ΔT1-12H among GR→PSFs than their matched primary PSFs, with 25% less overall coronal deformity correction, 1.2 additional complications, and 2.2 additional operations per patient. CONCLUSIONS: In juveniles aged 7 to 11 with EOS, on average GRs afford 2 cm of thoracic height over primary PSF at the cost of poorer deformity correction and additional complications and operations. Primary PSF affords an average of 2 cm of thoracic height gain; if an additional 2 cm will be impactful then GRs should be considered. However, in most juveniles the height gained may not warrant the iatrogenic stiffness, complications, and additional operations. Surgeons and families should weigh these benefits and harms when choosing a treatment plan. LEVEL OF EVIDENCE: Level III-retrospective comparative study.

Does This Adult Patient Have Hypertension?: The Rational Clinical Examination Systematic Review.

Importance: Office blood pressure (BP) measurements are not the most accurate method to diagnose hypertension. Home BP monitoring (HBPM) and 24-hour ambulatory BP monitoring (ABPM) are out-of-office alternatives, and ABPM is considered the reference standard for BP assessment. Objective: To systematically review the accuracy of oscillometric office and home BP measurement methods for correctly classifying adults as having hypertension, defined using ABPM. Data Sources: PubMed, Cochrane Library, Embase, ClinicalTrials.gov, and DARE databases and the American Heart Association website (from inception to April 2021) were searched, along with reference lists from retrieved articles. Data Extraction and Synthesis: Two authors independently abstracted raw data and assessed methodological quality. A third author resolved disputes as needed. Main Outcomes and Measures: Random effects summary sensitivity, specificity, and likelihood ratios (LRs) were calculated for BP measurement methods for the diagnosis of hypertension. ABPM (24-hour mean BP ≥130/80 mm Hg or mean BP while awake ≥135/85 mm Hg) was considered the reference standard. Results: A total of 12 cross-sectional studies (n = 6877) that compared conventional oscillometric office BP measurements to mean BP during 24-hour ABPM and 6 studies (n = 2049) that compared mean BP on HBPM to mean BP during 24-hour ABPM were included (range, 117-2209 participants per analysis); 2 of these studies (n = 3040) used consecutive samples. The overall prevalence of hypertension identified by 24-hour ABPM was 49% (95% CI, 39%-60%) in the pooled studies that evaluated office measures and 54% (95% CI, 39%-69%) in studies that evaluated HBPM. All included studies assessed sensitivity and specificity at the office BP threshold of 140/90 mm Hg and the home BP threshold of 135/85 mm Hg. Conventional office oscillometric measurement (1-5 measurements in a single visit with BP ≥140/90 mm Hg) had a sensitivity of 51% (95% CI, 36%-67%), specificity of 88% (95% CI, 80%-96%), positive LR of 4.2 (95% CI, 2.5-6.0), and negative LR of 0.56 (95% CI, 0.42-0.69). Mean BP with HBPM (with BP ≥135/85 mm Hg) had a sensitivity of 75% (95% CI, 65%-86%), specificity of 76% (95% CI, 65%-86%), positive LR of 3.1 (95% CI, 2.2-4.0), and negative LR of 0.33 (95% CI, 0.20-0.47). Two studies (1 with a consecutive sample) that compared unattended automated mean office BP (with BP ≥135/85 mm Hg) with 24-hour ABPM had sensitivity ranging from 48% to 51% and specificity ranging from 80% to 91%. One study that compared attended automated mean office BP (with BP ≥140/90 mm Hg) with 24-hour ABPM had a sensitivity of 87.6% (95% CI, 83%-92%) and specificity of 24.1% (95% CI, 16%-32%). Conclusions and Relevance: Office measurements of BP may not be accurate enough to rule in or rule out hypertension; HBPM may be helpful to confirm a diagnosis. When there is uncertainty around threshold values or when office and HBPM are not in agreement, 24-hour ABPM should be considered to establish the diagnosis.