External validation of novel Revised Intensity Battle Score and comparison of static rib fracture scoring systems.

BACKGROUND: This study aims to compare and externally validate the previously developed Revised Intensity Battle Score (RIBS) against other proposed scores for predicting poor outcomes after rib fractures. METHODS: An external validation set was assembled retrospectively, comprising 1,493 adult patients with one or more rib fractures admitted to a Level 1 trauma center between 2019 and 2022. The following rib fracture scores were calculated for each patient: RIBS, Injury Severity Score, Rib Fracture Score, Chest Trauma Score, and Battle score. Each was investigated to assess utility in predicting mortality, intensive care unit upgrade, unplanned intubation and ventilator days. Performance was measured by area under the receiver operating characteristic curve. RESULTS: Of the 1,493 patients who met inclusion criteria, 239 patients (16%) experienced one of more of the investigated outcomes. Generally, scores performed best at predicting mortality and ventilator days. The RIBS stood out as best predicting "any complication" (AUC = 0.735) and ">7 ventilator days" (AUC = 0.771). CONCLUSION: The RIBS represents an externally validated triage score in patients with rib fractures and compares favorably to other static scoring systems. Use of this score as a triage tool may allow stratifying patients who may benefit from direct intensive care unit admission, neuraxial anesthesia and aggressive respiratory care. Next steps include prospective investigation of how pairing these interventions with score directed triage impacts outcomes. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Granulomatosis With Polyangiitis Presenting as Occlusive Retinal Vasculitis.

Purpose: We discuss an unusual case of granulomatosis with polyangiitis (GPA) presenting as anterior uveitis with occlusive retinal vasculitis. Methods: A case report is presented. Results: A 60-year-old woman with a history of autoimmune disease presented to the retina clinic with red eyes and blurry vision in both eyes. An examination showed anterior uveitis with retinal vasculitis, and topical steroids were started in both eyes. One month later, the patient's vision worsened and an optical coherence tomography scan showed new central cystoid macular edema in the left eye. An antivascular endothelial growth factor injection was given. The next day, her vision was "black" in the left eye and a fundus examination showed global ischemia. A comprehensive uveitis workup was positive for cytoplasmic-staining antineutrophilic cytoplasmic antibody. A diagnosis of GPA was confirmed with a renal biopsy. Conclusions: Physician awareness of ocular GPA presentation is vital, and GPA management is most successful with a multidisciplinary team.

Caruncular Dacryops After Cataract Surgery With Histopathological Characterization.

ABSTRACT: Caruncular dacryops is a rare cyst of lacrimal tissue most commonly found in the palpebral lobe of the lacrimal gland. The exact cause of dacryops is unclear, although it may be congenital or associated with trauma, infection, or inflammation. The pathophysiology and histology of a caruncular dacryops of the left lacrimal gland in a 68-year-old woman is reported. The patient presented 3 months after a cataract surgery with symptoms of irritation and pruritus of the left eye. A 6- × 6-mm clear cyst of the lacrimal gland prolapsing into the lateral fornix was noted on physical exam. Histological examination of the cyst showed a double layer of flat cuboidal epithelium surrounded by fibrous tissue with minor lacrimal glands present. Periodic acid Schiff-diastase and mucicarmine staining showed the presence of goblet cells dispersed in the epithelial cells. Complete excision of the cyst is the treatment of choice for most caruncular dacryops, and our case remains without recurrence after excision. This case highlights the clinical and histological presentation of caruncular dacryops and raises awareness of their incidence following presumed trauma during cataract surgery.

Detecting Delirium: A Systematic Review of Identification Instruments for Non-ICU Settings.

BACKGROUND/OBJECTIVES: Delirium manifests clinically in varying ways across settings. More than 40 instruments currently exist for characterizing the different manifestations of delirium. We evaluated all delirium identification instruments according to their psychometric properties and frequency of citation in published research. DESIGN: We conducted the systematic review by searching Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Excerpta Medica Database (Embase), PsycINFO, PubMed, and Web of Science from January 1, 1974, to January 31, 2020, with the keywords "delirium" and "instruments," along with their known synonyms. We selected only systematic reviews, meta-analyses, or narrative literature reviews including multiple delirium identification instruments. MEASUREMENTS: Two reviewers assessed the eligibility of articles and extracted data on all potential delirium identification instruments. Using the original publication on each instrument, the psychometric properties were examined using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) framework. RESULTS: Of 2,542 articles identified, 75 met eligibility criteria, yielding 30 different delirium identification instruments. A count of citations was determined using Scopus for the original publication for each instrument. Each instrument underwent methodological quality review of psychometric properties using COSMIN definitions. An expert panel categorized key domains for delirium identification based on criteria from the Diagnostic and Statistical Manual of Mental Disorders (DSM)-III through DSM-5. Four instruments were notable for having at least two of three of the following: citation count of 200 or more, strong validation methodology in their original publication, and fulfillment of DSM-5 criteria. These were, alphabetically, Confusion Assessment Method, Delirium Observation Screening Scale, Delirium Rating Scale-Revised-98, and Memorial Delirium Assessment Scale. CONCLUSION: Four commonly used and well-validated instruments can be recommended for clinical and research use. An important area for future investigation is to harmonize these measures to compare and combine studies on delirium.

Machine Learning to Develop and Internally Validate a Predictive Model for Post-operative Delirium in a Prospective, Observational Clinical Cohort Study of Older Surgical Patients.

BACKGROUND: Our objective was to assess the performance of machine learning methods to predict post-operative delirium using a prospective clinical cohort. METHODS: We analyzed data from an observational cohort study of 560 older adults (≥ 70 years) without dementia undergoing major elective non-cardiac surgery. Post-operative delirium was determined by the Confusion Assessment Method supplemented by a medical chart review (N = 134, 24%). Five machine learning algorithms and a standard stepwise logistic regression model were developed in a training sample (80% of participants) and evaluated in the remaining hold-out testing sample. We evaluated three overlapping feature sets, restricted to variables that are readily available or minimally burdensome to collect in clinical settings, including interview and medical record data. A large feature set included 71 potential predictors. A smaller set of 18 features was selected by an expert panel using a consensus process, and this smaller feature set was considered with and without a measure of pre-operative mental status. RESULTS: The area under the receiver operating characteristic curve (AUC) was higher in the large feature set conditions (range of AUC, 0.62-0.71 across algorithms) versus the selected feature set conditions (AUC range, 0.53-0.57). The restricted feature set with mental status had intermediate AUC values (range, 0.53-0.68). In the full feature set condition, algorithms such as gradient boosting, cross-validated logistic regression, and neural network (AUC = 0.71, 95% CI 0.58-0.83) were comparable with a model developed using traditional stepwise logistic regression (AUC = 0.69, 95% CI 0.57-0.82). Calibration for all models and feature sets was poor. CONCLUSIONS: We developed machine learning prediction models for post-operative delirium that performed better than chance and are comparable with traditional stepwise logistic regression. Delirium proved to be a phenotype that was difficult to predict with appreciable accuracy.

The Role of Inflammation after Surgery for Elders (RISE) study: Study design, procedures, and cohort profile.

INTRODUCTION: The Role of Inflammation after Surgery for Elders study correlates novel inflammatory markers measured in blood, cerebrospinal fluid (CSF) assays, and [11C]-PBR28 positron-emission tomography imaging. METHODS: This study involved a prospective cohort design with patients who underwent elective hip and knee arthroplasty under spinal anesthesia. Sixty-five adults participated with their family members. Inflammatory biomarker assays were measured preoperatively on day 1 and postoperatively at one month. RESULTS: On average, participants were 75 years old, and 72% were female. 54% underwent total knee arthroplasty, and 46% underwent total hip arthroplasty. The mean Modified Mini-Mental State (3MS) Examination score was 89.3; four patients (6%) scored ≤77 points. Plasma assays were completed in 63 (97%) participants, cerebrospinal fluid assays in 61 (94%), and PET imaging in 44 (68%). DISCUSSION: This complex study presents an innovative effort to correlate peripheral and central inflammatory biomarkers before and after major surgery in older adults. Strengths include collecting concurrent blood, cerebrospinal fluid, and positron-emission tomography with detailed clinical characterization of delirium, cognition, and functional status.

The Better Assessment of Illness Study for Delirium Severity: Study Design, Procedures, and Cohort Description.

BACKGROUND/OBJECTIVES: To describe the design, procedures, and cohort for the Better ASsessment of ILlness -(BASIL) study, which is conducted to develop and test new delirium severity measures, compare them with existing measures, and examine related clinical outcomes. METHODS: Prospective cohort study with 1 year follow-up of study participants at a large teaching hospital in Boston, Massachusetts. After brief cognitive testing and the Delirium Symptom Interview, delirium and delirium severity were rated daily in the hospital using the Confusion Assessment Method (CAM) and CAM-Severity score, the Delirium Rating Scale-Revised-98 (DRS-R-98), and the Memorial Delirium Assessment Scale (MDAS). Other key study variables included comorbidity, physical function (basic and instrumental activities of daily living [ADL]), ratings of subjective health and well-being, and clinical outcomes (length of stay, 30 day rehospitalization, nursing home admission, healthcare utilization). Follow-up interviews occurred at 1- and 12-month with patients and families. In 42 patient interviews, inter-rater reliability for key variables was assessed. RESULTS: Of 768 eligible patients approached, 469 were screened and 352 enrolled, yielding an overall study response rate of 67% for potentially eligible participants. The mean participant was 80.3 years old (SD 6.8) and 203 (58%) were female. The majority of patients were medically complex with Charlson Comorbidity Scores ≥2 (192 patients, 55%), and 102 (29%) met criteria for dementia. Inter-rater reliability assessments (n = 42 pairs) were high for overall ratings of presence or absence of delirium by CAM (κ = 1.0), delirium severity by DRS-R-98 and MDAS (weighted kappa, κ = 1.0 for each) and for ADL impairment (κ = 1.0). For eligible participants at each time point, 278 out of 308 (90%) completed the 1-month follow-up and 132 out of 256 (53%) have completed the 12-month follow-up to date, which is still in progress. Among those who completed interviews, there was only 1-3% missing data on most major outcomes (delirium, basic ADL, and readmission). CONCLUSION: The BASIL study presents an innovative effort to advance the conceptualization and measurement of delirium severity. Unique strengths include the diverse cohort with complete high quality data and longitudinal follow-up, along with detailed collection of multiple delirium measures daily during hospitalization.