Development and validation of case-finding algorithms to identify prosthetic joint infections after total knee arthroplasty in Veterans Health Administration data.

PURPOSE: To determine the positive predictive values (PPVs) of ICD-9, ICD-10, and current procedural terminology (CPT)-based diagnostic coding algorithms to identify prosthetic joint infection (PJI) following knee arthroplasty (TKA) within the United States Veterans Health Administration. METHODS: We identified patients with: (1) hospital discharge ICD-9 or ICD-10 diagnosis of PJI, (2) ICD-9, ICD-10, or CPT procedure code for TKA prior to PJI diagnosis, (3) CPT code for knee X-ray within ±90 days of the PJI diagnosis, and (4) at least 1 CPT code for arthrocentesis, arthrotomy, blood culture, or microbiologic procedure within ±90 days of the PJI diagnosis date. Separate samples of patients identified with the ICD-9 and ICD-10-based PJI diagnoses were obtained, stratified by TKA procedure volume at each medical center. Medical records of sampled patients were reviewed by infectious disease clinicians to adjudicate PJI events. The PPV (95% confidence interval [CI]) for the ICD-9 and ICD-10 PJI algorithms were calculated. RESULTS: Among a sample of 80 patients meeting the ICD-9 PJI algorithm, 60 (PPV 75.0%, [CI 64.1%-84.0%]) had confirmed PJI. Among 80 patients who met the ICD-10 PJI algorithm, 68 (PPV 85.0%, [CI 75.3%-92.0%]) had a confirmed diagnosis. CONCLUSIONS: An algorithm consisting of an ICD-9 or ICD-10 PJI diagnosis following a TKA code combined with CPT codes for a knee X-ray and either a relevant surgical procedure or microbiologic culture yielded a PPV of 75.0% (ICD-9) and 85.0% (ICD-10), for confirmed PJI events and could be considered for use in future pharmacoepidemiologic studies.

Interruptions and distractions in the gynaecological operating theatre: irritating or dangerous?

Distractions and interference can include visual (e.g. staff obscuring monitors), audio (e.g. noise, irrelevant communication) and equipment problems. Level of distraction is usually defined as I: relatively inconsequential; II: > one member of the surgical team affected; III: the entire surgical team affected. The aim of this study was to observe the frequency and impact of distracting events and interruptions on elective gynaecology cases. Data from 35 cases were collected from 10 consecutive operating sessions. Mean number of interruptions was 26 episodes/case, while mean number of level II/III distractions was 17 episodes/case. Ninety per cent of interruptions occur in the first 30 minutes of the procedure and 80.9% lead to level II/III distraction. Although no complications were directly attributable to the observed distractions, the mean prolongation of operating time was 18.46 minutes/case. Understanding their effects on theatre environment enables appropriate measures to be taken so that theatre productivity and patient safety are optimised. PRACTITIONER SUMMARY: This observational study of 35 elective cases shows a mean interruption rate of 26 episodes/case with 80.9% affecting > one member of operating team, leading to mean prolongation of 18.46 minutes/case. Theatre staff should be aware of these findings and appropriate measures taken to optimise theatre productivity and patient safety.

Factors and Outcomes Associated With Viral Suppression Trajectory Group Membership Among Youth Transitioning From Pediatric to Adult HIV Care.

PURPOSE: Youth experiencing healthcare transition (HCT) from pediatric to adult HIV care are at risk for poor viral suppression (VS). We have a limited understanding of VS trajectory groups (VSTGs) pre- and post-HCT and factors associated with these trajectories. METHODS: We analyzed Philadelphia HIV surveillance data of youth diagnosed with HIV at least 2 years pre-HCT. We used group-based trajectory analysis to characterize VS trends pre- and post-HCT. We compared baseline sociodemographic characteristics across the different VSTGs and care continuum outcomes in the year post-HCT. Generalized estimating equations evaluated the association between VSTG and HIV care continuum outcomes measured 2 years post-HCT. RESULTS: Between 2012 and 2019, 232 eligible youth underwent HCT: 69.4% were aged 24-25, 75.4% male, and 76.7% non-Hispanic Black. Three VSTGs were identified: low (30.6%), increasing (26.7%), and high probability (42.7%) for VS. Younger age was associated with high-probability VSTG membership: 59.2% of those aged 18-23 versus 35.4% of those aged 24-25 were in the high-probability VSTG (p < .001). Demographics found to be associated with linkage to care post-HCT included younger age (p = .018), female sex at birth (p = .038), and perinatal acquisition (p = .012). Perinatal acquisition was also associated with retention in care in the year post-HCT (p = .029). For those transitioning between 2012 and 2018, those in the high-probability VSTG had greater odds of being retained (adjusted odds ratio 1.68, 95% confidence interval 1.03-2.71) and VS (adjusted odds ratio 6.95, interval 3.74-12.95) 2 years post-HCT, compared to those in the low VSTG. DISCUSSION: We identified distinct VSTGs that informed long-term trends post-HCT. VSTG membership may allow for tailoring of appropriate HCT support.