Identifying prescribers of antibiotics in a primary care spinal cord injury cohort.

STUDY DESIGN: A retrospective cross-sectional study. OBJECTIVE: To identify who prescribes outpatient antibiotics among a primary care spinal cord injury (SCI) cohort. SETTING: ICES databases in Ontario, Canada. METHODS: A cohort of individuals with SCI were retrospectively identified using a tested-algorithm and chart reviews in a primary care electronic medical records database. The cohort was linked to a drug dispensing database to obtain outpatient antibiotic prescribing information, and prescriber details were obtained from a physician database. RESULTS: Final cohort included three hundred and twenty individuals with SCI. The average annual number of antibiotic courses dispensed for the SCI cohort was 2.0 ± 6.2. For dispensed antibiotics, 58.9% were prescribed by rostered-primary care practice physicians, compared to 17.9% by emergency and non-rostered primary care physicians, 17.4% by specialists and 6.1% by non-physician prescribers. Those who lived in urban areas and rural areas, compared to those who lived in suburban areas, were more likely to receive antibiotics from emergency and non-rostered primary care physicians than from rostered-primary care practice physicians. CONCLUSION: Although individuals with SCI received outpatient antibiotic prescriptions from multiple sources, physicians from an individual's rostered-primary care practice were the main antibiotic prescribers. As such, interventions to optimize antibiotics use in the SCI population should target the primary care practice.

The impact of the COVID-19 virus and pandemic on healthcare utilization, access, delivery, experiences, and outcomes in the spinal cord injuries/dysfunction population: A scoping review study.

BACKGROUND: Individuals with spinal cord injuries or disease (SCI/D) require frequent healthcare services. The COVID-19 pandemic may have impacted healthcare. Furthermore, due to secondary health conditions and comorbidities persons with SCI/D are at increased risk of experiencing severe symptoms or outcomes if infected with the COVID-19 virus. It is unclear to what extent research has investigated the pandemic and virus impacts on the SCI/D population. OBJECTIVE: To identify and summarize what is reported in the literature on the impact the COVID-19 virus and pandemic had on healthcare, health outcomes, and experiences in the adult SCI/D population. METHODS: Electronic databases and grey literature were searched for articles that included an adult population with a SCI/D and investigated the impact the COVID-19 virus and pandemic had on healthcare-related outcomes and experiences. Articles were double screened, and data were extracted, and synthesized to provide a descriptive summary of the findings. RESULTS: Twenty-four studies were included in this review with eight qualitative, fifteen quantitative, and one mixed methods study. Sixteen studies investigated healthcare utilization/access; nine investigated care delivery, nine investigated patient outcomes, and eight investigated patient experiences, with multiple studies spanning different categories of investigation. The pandemic was detrimental to healthcare utilization, access, and outcomes, but no studies quantified these changes. Virtual care was well-received by the SCI/D population to maintain continuity of care. The SCI/D population had issues with maintaining caregiving support. It was unclear if the COVID-19 virus infection impacted individuals with SCI/D differently than the general population. CONCLUSIONS: This scoping review found the pandemic negatively impacted multiple aspects of healthcare in individuals with SCI/D, however further investigation on health outcomes is required. More research, particularly large-scale quantitative studies, investigating healthcare access, utilization, and delivery, as well as patient outcomes and experiences is needed to improve care in the SCI/D population post-pandemic onset.

Examining the impact of COVID-19 on health care utilization among persons with chronic spinal cord injury/dysfunction: a population study.

STUDY DESIGN: A retrospective longitudinal cohort time-series analysis study. OBJECTIVES: To examine healthcare utilization and delivery during the COVID-19 pandemic in individuals with spinal cord injury/dysfunction (SCI/D). SETTING: Health administrative database in Ontario, Canada. METHODS: In 5754 individuals with SCI/D diagnosed from 2004-2014 and living in the community, healthcare utilization (physician visits, primary care visits, specialist visits, urologist visits, physiatrist visits, emergency department (ED) visits, and hospital admissions) and delivery (total, in-person, virtual) were determined at the (1) pre-pandemic period (March 2015 to February 2020), (2) initial pandemic onset period (March 2020-May 2020), and (3) pandemic period (June 2020 to March 2022). Autoregressive integrated moving average (ARIMA) modelling was conducted to determine the impact of the pandemic on monthly healthcare utilization and delivery. RESULTS: The initial pandemic onset period had a significant reduction of 24% in physicians (p = 0.0081), 35% in specialists (p < 0.0001), and 30% in urologist (p < 0.0001) visits, compared to pre-pandemic levels, with a partial recovery as the pandemic progressed. In April 2020, compared to the pre-pandemic period, a significant increase (p < 0.0001) in virtual visits for physicians, specialists, urologists, and primary care was found. The initial pandemic onset period had a 58% decrease in hospital admissions (p = 0.0011), compared to the pre-pandemic period. CONCLUSION: Healthcare utilization dropped in the initial pandemic onset period as physicians, specialists, and urologists, as well as hospitalization visits decreased significantly (p < 0.05) versus pre-pandemic levels. Virtual visit increases compensated for in-person visit decreases as the pandemic progressed to allow for total visits to partially recover.

Examining antibiotic prescribing and urine culture testing for urinary tract infections (UTIs) in a primary care spinal cord injury (SCI) cohort.

STUDY DESIGN: A retrospective cohort study. OBJECTIVES: To describe antibiotic prescribing and urine culture testing patterns for urinary tract infections (UTIs) in a primary care Spinal Cord Injury (SCI) cohort. SETTING: A primary care electronic medical records (EMR) database in Ontario. METHODS: Using linked EMR health administrative databases to identify urine culture and antibiotic prescriptions ordered in primary care for 432 individuals with SCI from January 1, 2013 to December 31, 2015. Descriptive statistics were conducted to describe the SCI cohort, and physicians. Regression analyses were conducted to determine patient and physician factors associated with conducting a urine culture and class of antibiotic prescription. RESULTS: The average annual number of antibiotic prescriptions for UTI for the SCI cohort during study period was 1.9. Urine cultures were conducted for 58.1% of antibiotic prescriptions. Fluroquinolones and nitrofurantoin were the most frequently prescribed antibiotics. Male physicians and international medical graduates were more likely to prescribe fluroquinolones than nitrofurantoin for UTIs. Early-career physicians were more likely to order a urine culture when prescribing an antibiotic. No patient characteristics were associated with obtaining a urine culture or antibiotic class prescription. CONCLUSION: Nearly 60% of antibiotic prescriptions for UTIs in the SCI population were associated with a urine culture. Only physician characteristics, not patient characteristics, were associated with whether or not a urine culture was conducted, and the class of antibiotic prescribed. Future research should aim to further understand physician factors with antibiotic prescribing and urine culture testing for UTIs in the SCI population.

Using Clinical Vignettes and a Modified Expert Delphi Panel to Determine Parameters for Identifying Non-Traumatic Spinal Cord Injury in Health Administrative and Electronic Medical Record Databases.

OBJECTIVE: To obtain expert consensus on the parameters and etiologic conditions required to retrospectively identify cases of non-traumatic spinal cord injury (NTSCI) in health administrative and electronic medical record (EMR) databases based on the rating of clinical vignettes. DESIGN: A modified Delphi process included 2 survey rounds and 1 remote consensus panel. The surveys required the rating of clinical vignettes, developed after chart reviews and expert consultation. Experts who participated in survey rounds were invited to participate in the Delphi Consensus Panel. SETTING: An international collaboration using an online meeting platform. PARTICIPANTS: Thirty-one expert physicians and/or clinical researchers in the field of spinal cord injury (SCI). MAIN OUTCOME MEASURE(S): Agreement on clinical vignettes as NTSCI. Parameters to classify cases of NTSCI in health administrative and EMR databases. RESULTS: In health administrative and EMR databases, cauda equina syndromes should be considered SCI and classified as a NTSCI or TSCI based on the mechanism of injury. A traumatic event needs to be listed for injury to be considered TSCI. To be classified as NTSCI, neurologic sufficient impairments (motor, sensory, bowel, and bladder) are required, in addition to an etiology. It is possible to have both a NTSCI and a TSCI, as well as a recovered NTSCI. If information is unavailable or missing in health administrative and EMR databases, the case may be listed as "unclassifiable" depending on the purpose of the research study. CONCLUSION: The Delphi panel provided guidelines to appropriately classify cases of NTSCI in health administrative and EMR databases.

Identifying Patterns of Primary Care Antibiotic Prescribing for a Spinal Cord Injury (SCI) Cohort Using an Electronic Medical Records (EMR) Database.

Background: Individuals with a spinal cord injury (SCI) are considered higher users of antibiotics. However, to date there have been no detailed studies investigating outpatient antibiotic use in this population. Objectives: (1) To describe primary care antibiotic prescribing patterns in adults with SCI rostered to a primary care physician (PCP), and (2) to identify patient or PCP factors associated with number of antibiotics prescribed and antibiotic prescription duration. Methods: A retrospective cohort study using linked health administrative and electronic medical records (EMR) databases from January 1, 2013 to December 31, 2015 among 432 adults with SCI in Ontario, Canada. Negative binomial regression analyses were conducted to identify patient or physician factors associated with number of antibiotics prescribed and prescription duration. Results: During the study period, 61.1% of the SCI cohort received an antibiotic prescription from their PCP. There were 59.8% of prescriptions for urinary tract infections (UTI) and 24.6% of prescriptions for fluoroquinolones. Regression analysis found catheter use was associated with increased number of antibiotics prescribed (relative risk [RR] = 3.1; 95% CI, 2.3-4.1; p < .001) and late career PCPs, compared to early-career PCPs, prescribed a significantly longer duration (RR = 1.8; 95% CI, 1.1-3.1; p = .02). Conclusion: UTIs were the number one prescription indication, and fluoroquinolones were the most prescribed antibiotic. Catheter use was associated with number of antibiotics, and PCP's years of practice was associated with duration. The study provided important information about primary care antibiotic prescribing in the SCI population and found that not all individuals received frequent antibiotics prescriptions.

Assessing Primary Care Blood Pressure Documentation for Hypertension Management During the COVID-19 Pandemic by Patient and Provider Groups.

Background: Primary care electronic medical record (EMR) data can be used to identify, manage, and screen hypertension cases. However, this approach relies on completeness and accessibility of documented blood pressure (BP) values. With the large switch to virtual care due to the COVID-19 pandemic, we assessed BP documentation in primary care EMRs during the pandemic, across patient and physician groups. Methods: Hypertension-related visits were identified during the pre-pandemic (January 2017 to February 2020) and pandemic (March 2020 to December 2021) periods from a primary care EMR database in Ontario, Canada. Clustered logistic regression models were used to analyze the relationship of physician and patient characteristics with an outcome variable of documented BP. A chart review of 3200 hypertension visits without a BP recorded in structured data fields was conducted to determine if BP was recorded in progress notes. Results: Pre-pandemic, 75.7% of hypertension-related visits (113,966 of 150,511) had a BP recorded in structured documentation, but this significantly decreased to 36.4% (26,660 of 73,239) during the pandemic (odds ratio [OR] = 0.18, 95% confidence interval [CI]: 0.18-0.19). For virtual visits, 14.3% (6357 of 44,572) had a documented BP, vs 74.0% (20,056 of 27,089) for in-person visits. Chart review found that 55.9% of hypertension visits had no associated BP in structured documentation, but did have a BP recorded in the progress note. Male providers, compared to female providers, were less likely to record BPs pre-pandemic (OR = 0.45, 95% CI: 0.32-0.63) and during the pandemic, for both virtual visits (OR = 0.48, 95% CI: 0.32-0.71) and in-person visits (OR = 0.46, 95% CI: 0.33-0.64). Conclusions: BP documented in primary care EMRs declined during the pandemic, most likely due to high rates of virtual visits impacting hypertension detection and management.

Contexte: Les données des dossiers médicaux électroniques (DME) provenant des soins primaires peuvent être utilisées pour détecter, prendre en charge et dépister les cas d'hypertension. Cependant, cette approche dépend de l'accessibilité et de l'exhaustivité des valeurs de pression artérielle (PA) consignées aux dossiers. Étant donné l'important passage aux soins virtuels attribuable à la pandémie de COVID-19, nous avons évalué la façon dont la PA avait été consignée dans les DME de soins primaires pendant la pandémie, parmi des groupes de patients et de médecins. Méthodologie: Les consultations liées à l'hypertension pendant les périodes pré-pandémique (de janvier 2017 à février 2020) et pandémique (de mars 2020 à décembre 2021) ont été recueillies d'une banque de données de DME de soins primaires en Ontario (Canada). Des modèles de régression logistique regroupée ont été utilisés pour analyser le lien entre les caractéristiques des médecins et de patients et une variable de résultats des PA consignées. Une revue des dossiers portant sur 3200 consultations pour hypertension sans consignation de la PA dans les champs de données structurés a été effectuée afin de déterminer si la PA avait été notée dans les notes d'évolution. Résultats: Avant la pandémie, la PA avait été consignée dans une documentation structurée pour 75,7 % (113 966 sur 150 511) des consultations pour hypertension, mais cette proportion a chuté considérablement à 36,4 % (26 660 sur 73 239) pendant la pandémie (rapport des cotes [RC] = 0,18; intervalle de confiance [IC] à 95 % : 0,18-0,19). Pour ce qui est des consultations virtuelles, la PA a été consignée dans 14,3 % (6357 sur 44 572) des cas, comparativement à 74,0 % (20 056 sur 27 089) pour les consultations en personne. Une analyse des dossiers a révélé que pour 55,9 % des consultations pour hypertension, aucune mesure de PA ne figurait dans la documentation structurée, mais qu'une valeur de PA avait toutefois été consignée dans les notes d'évolution. Les professionnels de la santé masculins, comparativement aux femmes, ont été moins susceptibles de consigner les valeurs de PA avant la pandémie (RC = 0,45; IC à 95 % : 0,32-0,63) et pendant la pandémie, tant lors des consultations virtuelles (RC = 0,48; IC à 95 % : 0,32-0,71) que des consultations en personne (RC = 0,46; IC à 95 % : 0,33-0,64). Conclusions: L'inscription des valeurs de PA dans les DME de soins primaires a décliné pendant la pandémie, fort probablement en raison de la proportion élevée de consultations virtuelles, ce qui a eu une incidence sur la détection et la prise en charge de l'hypertension.

Interactive Visualization Applications in Population Health and Health Services Research: Systematic Scoping Review.

BACKGROUND: Simple visualizations in health research data, such as scatter plots, heat maps, and bar charts, typically present relationships between 2 variables. Interactive visualization methods allow for multiple related facets such as numerous risk factors to be studied simultaneously, leading to data insights through exploring trends and patterns from complex big health care data. The technique presents a powerful tool that can be used in combination with statistical analysis for knowledge discovery, hypothesis generation and testing, and decision support. OBJECTIVE: The primary objective of this scoping review is to describe and summarize the evidence of interactive visualization applications, methods, and tools being used in population health and health services research (HSR) and their subdomains in the last 15 years, from January 1, 2005, to March 30, 2019. Our secondary objective is to describe the use cases, metrics, frameworks used, settings, target audience, goals, and co-design of applications. METHODS: We adapted standard scoping review guidelines with a peer-reviewed search strategy: 2 independent researchers at each stage of screening and abstraction, with a third independent researcher to arbitrate conflicts and validate findings. A comprehensive abstraction platform was built to capture the data from diverse bodies of literature, primarily from the computer science and health care sectors. After screening 11,310 articles, we present findings from 56 applications from interrelated areas of population health and HSR, as well as their subdomains such as epidemiologic surveillance, health resource planning, access, and use and costs among diverse clinical and demographic populations. RESULTS: In this companion review to our earlier systematic synthesis of the literature on visual analytics applications, we present findings in 6 major themes of interactive visualization applications developed for 8 major problem categories. We found a wide application of interactive visualization methods, the major ones being epidemiologic surveillance for infectious disease, resource planning, health service monitoring and quality, and studying medication use patterns. The data sources included mostly secondary administrative and electronic medical record data. In addition, at least two-thirds of the applications involved participatory co-design approaches while introducing a distinct category, embedded research, within co-design initiatives. These applications were in response to an identified need for data-driven insights into knowledge generation and decision support. We further discuss the opportunities stemming from the use of interactive visualization methods in studying global health; inequities, including social determinants of health; and other related areas. We also allude to the challenges in the uptake of these methods. CONCLUSIONS: Visualization in health has strong historical roots, with an upward trend in the use of these methods in population health and HSR. Such applications are being fast used by academic and health care agencies for knowledge discovery, hypotheses generation, and decision support. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/14019.

Development and evaluation of a primary care antimicrobial stewardship program (PC-ASP) in Toronto, Ontario, Canada.

Background: Effective community-based antimicrobial stewardship programs (ASPs) are needed because 90% of antimicrobials are prescribed in the community. A primary care ASP (PC-ASP) was evaluated for its effectiveness in lowering antibiotic prescriptions for six common infections. Methods: A multi-faceted educational program was assessed using a before-and-after design in four primary care clinics from 2015 through 2017. The primary outcome was the difference between control and intervention clinics in total antibiotic prescriptions for six common infections before and after the intervention. Secondary outcomes included changes in condition-specific antibiotic use, delayed antibiotic prescriptions, prescriptions exceeding 7 days duration, use of recommended antibiotics, and emergency department visits or hospitalizations within 30 days. Multi-method models adjusting for demographics, case mix, and clustering by physician were used to estimate treatment effects. Results: Total antibiotic prescriptions in control and intervention clinics did not differ (difference in differences = 1.7%; 95% CI -12.5% to 15.9%), nor did use of delayed prescriptions (-5.2%; 95% CI -24.2% to 13.8%). Prescriptions for longer than 7 days were significantly reduced (-21.3%; 95% CI -42.5% to -0.1%). However, only 781 of 1,777 encounters (44.0%) involved providers who completed the ASP education. Where providers completed the education, delayed prescriptions increased 17.7% (p = 0.06), and prescriptions exceeding 7 days duration declined (-27%; 95% CI -48.3% to -5.6%). Subsequent emergency department visits and hospitalizations did not increase. Conclusions: PC-ASP effectiveness on antibiotic use was variable. Shorter prescription durations and increased use of delayed prescriptions were adopted by engaged primary care providers.

Historique: Des programmes de gestion antimicrobienne (PGA) communautaires efficaces doivent exister, parce que 90 % des antimicrobiens sont prescrits dans la communauté. Des chercheurs ont évalué un PGA en première ligne (PGA-PL) afin d'en déterminer l'efficacité à réduire les prescriptions d'antibiotiques pour six infections courantes. Méthodologie: Les chercheurs ont évalué un programme de formation polyvalent au moyen d'une méthodologie avant-après dans quatre cliniques de soins de première ligne entre 2015 et 2017. Le résultat clinique primaire était la différence entre les cliniques de contrôle et d'intervention pour ce qui est du total de prescriptions antibiotiques contre six infections courantes avant et après l'intervention. Les résultats cliniques secondaires incluaient des modifications à l'utilisation des antibiotiques propres au trouble de santé, le report des prescriptions d'antibiotiques, des prescriptions de plus de sept jours, l'utilisation des antibiotiques recommandés et les visites à l'urgence ou les hospitalisations dans les 30 jours. Les chercheurs ont utilisé des méthodes multimodèles tenant compte de la démographie, du mélange de cas et du regroupement par médecin pour évaluer l'effet des traitements. Résultats: Les prescriptions totales d'antibiotiques dans les cliniques de contrôle et d'intervention ne différaient pas (différences des différences = 1,7 %; IC à 95 %, ­12,5 % à 15,9 %), ni l'utilisation de prescriptions reportées (­5,2 %; IC à 95 %, ­24,2 % à 13,8 %). Les prescriptions de plus de sept jours étaient très peu courantes (­21,3 %; IC à 95 %, ­42,5 % à ­0,1 %). Cependant, seulement 781 des 1 777 rencontres (44,0 %) avaient eu lieu avec des dispensateurs qui avaient suivi la formation sur le PGA. Lorsque les dispensateurs avaient suivi la formation, les reports de prescriptions augmentaient de 17,7 % (p = 0,06) et les prescriptions de plus de sept jours diminuaient (­27 %; IC à 95 %, ­48,3 % à ­5,6 %). Les visites subséquentes à l'urgence et les hospitalisations n'ont pas augmenté. Conclusions: L'efficacité du PGA-PL pour l'utilisation d'antibiotiques était variable. Les dispensateurs de soins de première ligne qui y avaient participé préparaient des prescriptions de moins longue durée et reportaient davantage leurs prescriptions.

Barriers and facilitators to the uptake of an antimicrobial stewardship program in primary care: A qualitative study.

The overuse of antimicrobials in primary care can be linked to an increased risk of antimicrobial-resistant bacteria for individual patients. Although there are promising signs of the benefits associated with Antimicrobial Stewardship Programs (ASPs) in hospitals and long-term care settings, there is limited knowledge in primary care settings and how to implement ASPs in these settings is unclear. In this context, a qualitative study was undertaken to explore the perceptions of primary care prescribers of the usefulness, feasibility, and experiences associated with the implementation of a pilot community-focused ASP intervention in three primary care clinics. Qualitative interviews were conducted with primary care clinicians, including local ASP champions, prescribers, and other primary health care team members, while they participated in an ASP initiative within one of three primary care clinics. An iterative conventional content analyses approach was used to analyze the transcribed interviews. Themes emerged around the key enablers and barriers associated with ASP implementation. Study findings point to key insights relevant to the scalability of community ASP activities with primary care providers.

Prevalence of chronic comorbidities in dengue fever and West Nile virus: A systematic review and meta-analysis.

BACKGROUND: Flavivirus diseases such as dengue fever (DENV), West Nile virus (WNV), Zika and yellow fever represent a substantial global public health concern. Preexisting chronic conditions such as cardiovascular diseases, diabetes, obesity, and asthma were thought to predict risk of progression to severe infections. OBJECTIVE: We aimed to quantify the frequency of chronic comorbidities in flavivirus diseases to provide an estimate for their prevalence in severe and non-severe infections and examine whether chronic diseases contribute to the increased risk of severe viral expression. METHODS: We conducted a comprehensive search in PubMed, Ovid MEDLINE(R), Embase and Embase Classic and grey literature databases to identify studies reporting prevalence estimates of comorbidities in flavivirus diseases. Study quality was assessed with the risk of bias tool. Age-adjusted odds ratios (ORs) were estimated for severe infection in the presence of chronic comorbidities. RESULTS: We identified 65 studies as eligible for inclusion for DENV (47 studies) and WNV (18 studies). Obesity and overweight (i.e., BMI> 25 kg/m2, prevalence: 24.5%, 95% CI: 18.6-31.6%), hypertension (17.1%, 13.3-21.8%) and diabetes (13.3%, 9.3-18.8%) were the most prevalent comorbidities in DENV. However, hypertension (45.0%, 39.1-51.0%), diabetes (24.7%, 20.2-29.8%) and heart diseases (25.6%, 19.5-32.7%) were the most prevalent in WNV. ORs of severe flavivirus diseases were about 2 to 4 in infected patients with comorbidities such as diabetes, hypertension and heart diseases. The small number of studies in JEV, YFV and Zika did not permit estimating the prevalence of comorbidities in these infections. CONCLUSION: Higher prevalence of chronic comorbidities was found in severe cases of flavivirus diseases compared to non-severe cases. Findings of the present study may guide public health practitioners and clinicians to evaluate infection severity based on the presence of comorbidity, a critical public health measure that may avert severe disease outcome given the current dearth of clear prevention practices for some flavivirus diseases.

Psychological and Physiological Markers of Stress in Concussed Athletes Across Recovery Milestones.

BACKGROUND: Sport-related concussions are associated with a range of physical, cognitive, and behavioral disturbances that are highly variable across individuals. Much remains unknown about the effects of sport concussion, and changes in markers of psychological and physiological stress over the recovery timeline. OBJECTIVE: To examine psychological (mood, stress, sleep quality, and symptoms) and physiological (heart rate variability and salivary cortisol) measures in concussed athletes over clinical recovery milestones. SETTING: University athletic program, sport medicine clinic, Canada. PARTICIPANTS: A sample of 52 interuniversity athletes (32 male and 20 female), 26 with concussion and 26 healthy controls. DESIGN: Case-control repeated measures study at 3 time points of the clinical recovery process. Measures were administered to a matched control sample of uninjured athletes as well. MAIN MEASURES: Physiological measures were heart rate variability and salivary cortisol; psychological measures were mood, perceived stress, and quality of sleep. RESULTS: Psychological measures were significantly worse for concussed athletes relative to controls at the symptomatic phase (acute injury), but significantly better at return-to-play (RTP). Multivariate analysis of heart rate variability identified main effects of sex and concussion, with reduced high-frequency heart rate variability for females and concussed athletes extending into the post-RTP phase. An interaction effect was also observed, showing the cardiac response of female athletes was more sensitive to concussion compared with males. Conversely, male athletes showed greater suppression of low-frequency heart rate variability associated with mood disturbances. CONCLUSION: This integrated study of psychological and physiological markers in concussed athletes confirmed the resolution of mood disturbances, symptoms, and sleep quality by RTP, but identified autonomic nervous system disturbances, as measured by depressed heart rate variability beyond RTP.

Heart Rate Variability of Athletes Across Concussion Recovery Milestones: A Preliminary Study.

OBJECTIVE: To assess heart rate variability (HRV) in athletes with concussion across three phases of recovery. DESIGN: A prospective matched control group design included the collection of HRV and symptoms measured by the Rivermead Post-Concussion Questionnaire. These measures were taken at 3 phases of recovery [(1) symptomatic; (2). asymptomatic; and (3) one-week after return-to-play (RTP)]. The same protocol was completed by noninjured athletes. SETTING: Interuniversity sports teams at a single institution. PARTICIPANTS: 11 athletes, across 7 sports, diagnosed with concussion, and 11 matched-athlete controls volunteered for the study. INTERVENTION: Physician diagnosed concussion and a sitting to standing protocol for HRV monitoring. MAIN OUTCOME MEASURES: The frequency, time, and nonlinear domains of HRV were assessed along with the absolute difference between sitting and standing for each. RESULTS: A 2 x 3 (group x phase) repeated-measures analysis of variance revealed significant interactions for sitting High Frequency (HF) norm, sitting Low Frequency (LF) norm, the difference between sitting and standing HF norm, and difference between sitting and standing LF norm. Acutely, athletes with concussion displayed increased LF norm and decreased HF norm while sitting and a decreased change in their HF and LF norm measures between sitting and standing. A significant group effect for sample entropy when standing was detected, with the concussed group displaying decreased values compared with the matched controls. CONCLUSIONS: Athletes with concussion displayed autonomic dysfunction in some measures of HRV that persisted beyond RTP and were related to a previous history of concussion.