Does rickets carry an increased risk of osteomyelitis and septic arthritis? An aggregated electronic health record data study.

To investigate the prevalence of osteomyelitis and septic arthritis in pediatric patients with rickets, compared to the general population. A retrospective cohort study was conducted using the TriNetX analytics network, which aggregates deidentified electronic health record data from over 105 million US patients. We queried pediatric patients with rickets, based on ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) encounter diagnoses. Patients with any ICD-10-CM encounter diagnoses of osteomyelitis or septic arthritis were reported. We established a control cohort of pediatric patients without rickets. Of 7337 pediatric patients (≤18 years old) with a rickets diagnosis, 96 [1.31%, 95% confidence interval (CI): 1.05%-1.57%] had a diagnosis of osteomyelitis and 28 (0.38%, 95% CI: 0.24%-0.52%) had a diagnosis of septic arthritis. In comparison, of the 17 240 604 pediatric patients without a rickets diagnosis, 16 995 (0.10%, 95% CI: 0.10%-0.10%) had a diagnosis of osteomyelitis and 8521 (0.05%, 95% CI: 0.05%-0.05%) had a diagnosis of septic arthritis. The relative risk for an osteomyelitis diagnosis in pediatric patients with a rickets diagnosis was 13.27 (95% CI: 10.86-16.23), while the relative risk for a septic arthritis diagnosis was 7.72 (95% CI: 5.33-11.18). Pediatric patients with a diagnosis of rickets have over 10- and 5-times higher relative risks for having a diagnosis of osteomyelitis and septic arthritis, respectively, compared to those without a diagnosis of rickets. This is the first study to explore musculoskeletal infections in rickets patients, highlighting the importance of clinicians being vigilant about these conditions.

Risk of Fracture and Complications After Fixation in Patients With Pre-injury Psychiatric Illness: A Propensity-Matched Cohort Study.

OBJECTIVES: The purpose was to describe the frequency of orthopaedic trauma and postsurgical complications associated with psychiatric diagnoses. DESIGN: Query of TriNetx Analytics Network. SETTING: Participating hospitals. PATIENT SELECTION CRITERIA: Those ≥18 years old with psychiatric illness and orthopaedic trauma. OUTCOME MEASURES AND COMPARISONS: Fractures and postoperative complications were described. A 1:1 propensity score matching function was used. Odds ratios compared intercohort complications. RESULTS: A total of 11,266,415 patients were identified with a psychiatric diagnosis, including bipolar disorder (8.9%), schizophrenia (3.3%), major depression (12.4%), stress-related disorder (9.6%), anxiety disorder (64.5%), borderline personality disorder (1.1%), or antisocial personality (0.2%). Prevalence of 30.2% was found for a fracture and at least 1 psychiatric diagnosis. Antisocial personality disorder had the highest risk ratio relative to people without that mental disorder (relative risk [RR] = 5.09) of having 1 or more associated fracture, followed by depression (RR = 3.03), stress-related disorders (RR = 3.00), anxiety disorders (RR = 2.97), borderline personality disorder (RR = 2.92), bipolar disorder (RR = 2.80), and schizophrenia (RR = 2.69). Patients with at least 1 psychiatric comorbidity had greater risk of pulmonary embolism, superficial and deep surgical site infections, pneumonia, urinary tract infection, deep venous thrombosis, osteonecrosis, and complex regional pain syndrome by 1 month after fixation, when compared with patients without psychiatric disorder. By 1 year, they were also at an increased risk for stroke and myocardial infarction. CONCLUSIONS: All psychiatric comorbidities were associated with increased RR of fracture and higher odds of complications compared with patients without psychiatric comorbidities. Providers should be aware of preexisting psychiatric diagnoses during treatment of acute injuries because of these risks. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Preexisting Psychiatric Conditions as Risk Factors for Diagnosed Long COVID-19 Syndrome Within Aggregated Electronic Health Record Data.

OBJECTIVE: This study aimed to investigate the frequency of long COVID diagnosis among patients infected with severe acute respiratory syndrome coronavirus 2 with preexisting psychiatric conditions versus those without preexisting psychiatric conditions. METHODS: The TriNetX Analytics platform, an aggregated electronic health record research network containing the deidentified electronic health record data of more than 90 million patients, was queried for patients who were diagnosed with COVID-19 infection based on International Classifications of Disease, Tenth Revision codes. Patients were stratified based on their preexisting psychiatric conditions, and new diagnoses of long COVID were recorded and reported as the primary outcome. RESULTS: Among 1,180,948 patients previously diagnosed with COVID-19, 17,990 patients (1.52%) were diagnosed with long COVID based on the newly implemented International Classifications of Disease, Tenth Revision code "U09: post-COVID-19 condition." After propensity score matching, patients with any preexisting psychiatric diagnosis had a 1.52 (95% confidence interval [CI] = 1.47-1.58) times greater prevalence of diagnosed long COVID within 180 days of infection than patients without preexisting psychiatric diagnoses. Patients with diagnosed anxiety disorders (relative risk [RR] = 1.64; 95% CI = 1.57-1.71), mood disorders (RR = 1.65; 95% CI = 1.57-1.72), bipolar disorder (RR = 1.37; 95% CI = 1.21-1.54), major depressive disorder (RR = 1.69; 95% CI = 1.56-1.83), psychotic disorders (RR = 1.23; 95% CI = 1.06-1.44), and substance use disorders (RR = 1.28; 95% CI = 1.22-1.36) had higher risks for long COVID diagnoses when compared with patients without preexisting psychiatric illness at the time of diagnosis. CONCLUSIONS: Multiple preexisting psychiatric diagnoses are associated with an increased risk of being diagnosed with long COVID after COVID-19 infection.

Increased risk of osteomyelitis and septic arthritis in osteogenesis imperfecta.

We investigated the prevalence of osteomyelitis and septic arthritis in individuals with osteogenesis imperfecta (OI) as compared to the general population. We performed a retrospective cohort study utilizing the TriNetX Analytics platform, a federated, aggregated electronic health record (EHR) research network containing national, deidentified EHR data. We queried patients with OI, based on encounter diagnoses. Patients in this group with any occurrence of osteomyelitis or septic arthritis were recorded. A control cohort was established to compare the prevalence in patients without OI. Of 8444 individuals with OI, 433 (5.13%) had encounter diagnoses for osteomyelitis and 61 (0.72%) had encounter diagnoses for septic arthritis. In comparison, of 79 176 436 patients without OI, 352 009 (0.44%) had encounter diagnoses for osteomyelitis, while 106 647 (0.13%) had encounter diagnoses for septic arthritis. The relative risk for osteomyelitis in OI patients was 11.53 (95% CI: 10.52-12.64), while the relative risk for septic arthritis was 5.36 (95% CI: 4.18-6.89). The relative risk for osteomyelitis in pediatric OI patients was 30.55 (95% CI: 24.35-38.28). To our knowledge, this is the first study investigating musculoskeletal infections in patients with OI, as well as the first to report the overall prevalence in the general population. Clinicians may benefit from a high index of suspicion for musculoskeletal infections in OI patients with corresponding symptoms. Further study is warranted to investigate if modifications to conventional diagnostic pathways and criteria are valuable in this population. Level of evidence: Retrospective Cohort Study - Level II.

Prevalence of New-Onset Tinnitus after COVID-19 Vaccination with Comparison to Other Vaccinations.

OBJECTIVE: To investigate how often patients are diagnosed with new-onset tinnitus within 21 days after COVID-19 vaccination in comparison to after three other common vaccinations: influenza, Tdap (tetanus, diphtheria, and acellular pertussis), and polysaccharide pneumococcus. METHODS: The TriNetX Analytics Network, a federated health research network that aggregates the de-identified electronic health record (EHR) data of over 78 million patients, was queried for patients receiving each vaccination. Instances of new-onset tinnitus within 21 days of vaccination were recorded and reported. RESULTS: Out of 2,575,235 patients receiving a first dose of the mRNA COVID-19 vaccine without any prior tinnitus diagnosis, 0.038% (95% CI: 0.036%-0.041%) of patients had a new diagnosis of tinnitus within 21 days. There was a higher risk of a new tinnitus diagnosis after the influenza vaccine (RR: 1.95, 95% CI: 1.72-2.21), Tdap vaccine (RR: 2.36, 95% CI: 1.93-2.89), and pneumococcal vaccine (RR: 1.97, 95% CI: 1.48-2.64) than after the first dose of the COVID-19 vaccine. There was a lower risk of a new tinnitus diagnosis after the second dose of COVID-19 than after the first dose (RR: 0.80, 95% CI: 0.71-0.91). CONCLUSION: The rate of newly diagnosed tinnitus acutely after the first dose of the COVID-19 vaccine is very low. There was a higher risk of newly diagnosed tinnitus after influenza, Tdap, and pneumococcal vaccinations than after the COVID-19 vaccine. The present findings can help to address COVID-19 vaccine hesitancy during the ongoing pandemic. LEVEL OF EVIDENCE: Level 3 Laryngoscope, 133:1722-1725, 2023.