• Familial Anaphylaxis after Silkworm Ingestion

      Gautreau, Marc; Restuccia, Marc C.; Senser, Kevin; Weisberg, Stacy N. (2017-01-01)
      Herein, we present a case of anaphylaxis in multiple family members after ingesting silkworms, an Asian delicacy. While food allergies, including anaphylaxis are unfortunately common, there are no previous reports of multiple family members suffering an anaphylactic reaction after eating silkworms. In addition, both family members required multiple doses of epinephrine and eventually an epinephrine infusion to improve their blood pressures. All interventions, including the epinephrine infusions, were started by emergency medical services (EMS) with on-line medical direction. Both the reaction and the required treatment are not extensively documented in the medical literature.
    • Validation of anaphylaxis in the Food and Drug Administration's Mini-Sentinel

      Walsh, Kathleen E.; Cutrona, Sarah L.; Foy, Sarah; Baker, Meghan A.; Forrow, Susan; Shoaibi, Azadeh; Pawloski, Pamala A.; Conroy, Michelle; Fine, Andrew M.; Nigrovic, Lise E.; et al. (2013-11-01)
      PURPOSE: We aim to develop and validate the positive predictive value (PPV) of an algorithm to identify anaphylaxis using health plan administrative and claims data. Previously published PPVs for anaphylaxis using International Classification of Diseases, ninth revision, Clinical Modification (ICD-9-CM) codes range from 52% to 57%. METHODS: We conducted a retrospective study using administrative and claims data from eight health plans. Using diagnosis and procedure codes, we developed an algorithm to identify potential cases of anaphylaxis from the Mini-Sentinel Distributed Database between January 2009 and December 2010. A random sample of medical charts (n = 150) was identified for chart abstraction. Two physician adjudicators reviewed each potential case. Using physician adjudicator judgments on whether the case met diagnostic criteria for anaphylaxis, we calculated a PPV for the algorithm. RESULTS: Of the 122 patients for whom complete charts were received, 77 were judged by physician adjudicators to have anaphylaxis. The PPV for the algorithm was 63.1% (95%CI: 53.9-71.7%), using the clinical criteria by Sampson as the gold standard. The PPV was highest for inpatient encounters with ICD-9-CM codes of 995.0 or 999.4. By combining only the top performing ICD-9-CM codes, we identified an algorithm with a PPV of 75.0%, but only 66% of cases of anaphylaxis were identified using this modified algorithm. CONCLUSIONS: The PPV for the ICD-9-CM-based algorithm for anaphylaxis was slightly higher than PPV estimates reported in prior studies, but remained low. We were able to identify an algorithm that optimized the PPV but demonstrated lower sensitivity for anaphylactic events.