Neuroretinitis as a Complication of Cat Scratch Disease.

In this case report, a patient with neuroretinitis from a Bartonella henselae infection is described, and insights into methods to distinguish this type of case from more common etiologies of optic nerve edema are presented. A 21-year-old female with a history of right monocular vision loss due to amblyopia presented to the emergency department (ED) with occipital headache, fever, dizziness, nasal congestion, and painless blurry vision in the left eye for one day. A lumbar puncture found a slightly high opening pressure but no evidence of meningitis. The patient was diagnosed with a viral illness and discharged with outpatient follow-up. The patient, however, had persistent central vision loss and recurring headaches and returned to the ED. Subsequent ultrasound of the patient's optic nerve revealed significant optic nerve swelling. A new working diagnosis of idiopathic intracranial hypertension was made, and the patient was started on oral acetazolamide. On the next day, she was seen by ophthalmology, and recent scratches from her cat were noted on her arm. She tested positive for B. henselae and was started on doxycycline and rifampin. Nearly two weeks after the initial presentation, a macular star pattern, indicative of neuroretinitis, was noted on the fundoscopic exam. The patient had recovered her vision by three months later. In ED cases with unilateral vision loss, early use of point-of-care ultrasound and infection with B. henselae should always be considered. Early serology testing may be warranted to allow for earlier treatment since classic signs of neuroretinitis may not be apparent at the onset.

Hospice and Comfort Care Patient Utilization of Emergency Medical Services.

Introduction: Emergency medical services (EMS) were designed to prevent death and disability. When hospice patients call 9-1-1, it can create challenging scenarios for EMS providers, patients, and families. The objective of this investigation is to understand the characteristics of hospice and comfort care patient EMS utilization in Alameda County, California. Methods: This is a 15-month (7/1/2019-10/1/2020) retrospective observational study in Alameda County using electronic patient care reports (PCRs). The search terms "hospice" and "comfort measures only" were applied to PCR narratives. Results: Of the 237,493 EMS provider response calls, 534 (0.2%) were for hospice and comfort care patients. One hundred seventy-four (32.6%) calls were from skilled nursing facilities versus 343 (64.2%) from private residences. Among the most common primary impressions were respiratory complaints (96; 18.0%), altered mental status (96; 18.0%), weakness (58; 10.9%), and cardiac arrest (45; 8.4%). The most common interventions included blood glucose (244; 45.7%), electrocardiogram (181; 33.9%), and intravenous placement (170; 31.8%). Of note, eight (1.5%) patients received cardiopulmonary resuscitation, and an additional eight (1.5%) patients were intubated endotracheally or received a supraglottic airway device for intubation. Sixty-eight (12.7%) patients received medications, the most common of which were fentanyl (17; 3.2%) and albuterol (16; 3.0%). Of note, five (0.9%) patients received naloxone. Ultimately, 468 (87.6%) patients were transported by EMS. Of the 33 (6.1%) patients who died on the scene, three received resuscitation attempts. Conclusion: Although EMS providers encounter hospice and comfort care patients infrequently, awareness of hospice services and comprehensive end-of-life care communication skills with patients and family should be an important part of EMS.

Centralized Ambulance Destination Determination: A Retrospective Data Analysis to Determine Impact on EMS System Distribution, Surge Events, and Diversion Status.

INTRODUCTION: Emergency medical services (EMS) systems can become impacted by sudden surges that can occur throughout the day, as well as by natural disasters and the current pandemic. Because of this, emergency department crowding and ambulance "bunching," or surges in ambulance-transported patients at receiving hospitals, can have a detrimental effect on patient care and financial implications for an EMS system. The Centralized Ambulance Destination Determination (CAD-D) project was initially created as a pilot project to look at the impact of an active, online base hospital physician and paramedic supervisor to direct patient destination and distribution, as a way to improve ambulance distribution, decrease surges at hospitals, and decrease diversion status. METHODS: The project was initiated March 17, 2020, with a six-week baseline period; it had three additional study phases where the CAD-D was recommended (Phase 1), mandatory (Phase 2), and modified (Phase 3), respectively. We used coefficients of variation (CV) statistical analysis to measure the relative variability between datasets (eg, CAD-D phases), with a lower variation showing better and more even distribution across the different hospitals. We used analysis of co-variability for the CV to determine whether level loading was improved systemwide across the three phases against the baseline period. The primary outcomes of this study were the following: to determine the impact of ambulance distribution across a geographical area by using the CV; to determine whether there was a decrease in surge rates at the busiest hospital in this area; and the effects on diversion. RESULTS: We calculated the CV of all ratios and used them as a measure of EMS patient distribution among hospitals. Mean CV was lower in Phase 2 as compared to baseline (1.56 vs 0.80 P < 0.05), and to baseline and Phase 3 (1.56 vs. 0.93, P <0.05). A lower CV indicates better distribution across more hospitals, instead of the EMS transports bunching at a few hospitals. Furthermore, the proportion of surge events was shown to be lower between baseline and Phase 1 (1.43 vs 0.77, P <0.05), baseline and Phase 2 (1.43 vs. 0.33, P < 0.05), and baseline and Phase 3 (1.43 vs 0.42, P < 0.05). Diversion was shown to increase over the system as a whole, despite decreased diversion rates at the busiest hospital in the system. CONCLUSION: In this retrospective study, we found that ambulance distribution increased across the system with the implementation of CAD-D, leading to better level loading. The surge rates decreased at some of the most impacted hospitals, while the rates of hospitals going on diversion paradoxically increased overall. Specifically, the results of this study showed that there was an improvement when comparing the CAD-D implementation vs the baseline period for both the ambulance distribution across the system (level loading/CV), and for surge events at three of the busiest hospitals in the system.