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2.
Foodborne Pathog Dis ; 19(10): 713-715, 2022 10.
Article in English | MEDLINE | ID: mdl-36149750

ABSTRACT

During September 2019, public health authorities in El Paso County, Colorado, were notified of four patients who had presented to nearby hospitals with clinical features consistent with botulism, a paralytic illness caused by botulinum neurotoxin. One patient died soon after presentation; the other three patients required intensive care but recovered after receiving botulism antitoxin. Botulinum toxin type A was detected in serum from all patients. On further investigation, all four patients had shared a meal that included commercially prepared roasted potatoes from an individual package without refrigeration instructions that had been left unrefrigerated for 15 d. Storage of the product at ambient temperature likely allowed botulism spores to produce botulinum toxin, resulting in severe illness and death. The manufacturer improved labeling in response to this outbreak. Public health officials should consider unrefrigerated potato products as a potential source of botulism; clinicians should consider botulism as a possible cause of paralytic illness.


Subject(s)
Botulinum Toxins, Type A , Botulism , Clostridium botulinum , Solanum tuberosum , Humans , Botulism/diagnosis , Botulism/epidemiology , Botulism/etiology , Botulinum Antitoxin , Colorado/epidemiology , Disease Outbreaks
3.
J Natl Compr Canc Netw ; 16(12): 1451-1457, 2018 12.
Article in English | MEDLINE | ID: mdl-30545992

ABSTRACT

Background: Timely detection and treatment of breast cancer is important in optimizing survival and minimizing recurrence. Given disparities in breast cancer outcomes based on socioeconomic status, we examined time to diagnosis and treatment in a safety-net hospital. Methods: We conducted a retrospective review of all patients with breast cancer diagnosed between July 1, 2010, and June 30, 2012 (N=120). We limited our analytic sample to patients with nonrecurrent, primary stage 0-III breast cancer (N=105) and determined intervals from presentation to diagnosis, diagnosis to first treatment, last surgery to chemotherapy initiation, and last surgery to start of radiation therapy (RT). Using logistic regression, we calculated unadjusted odds of receiving timely treatment (< median time) versus more delayed treatment (≥ median time) as a function of age, language, ethnicity, insurance, Charlson comorbidity index, disease stage, method of first presentation (screening mammography vs care provider), symptoms at presentation, and type of surgical treatment. Results: Patients aged 55 to 64 years accounted for most of the sample (n=37; 35.2%). Median time from presentation to diagnosis (23 days), time from diagnosis to first treatment, and time from surgery to chemotherapy initiation fell within intervals published in the literature; median time from last surgery to start of RT was greater than recommended intervals. Factors significantly associated with longer intervals than median time included stage, method of presentation, language, surgical treatment, insurance, and ethnicity. Conclusions: Patients in this safety-net setting experienced acceptable diagnosis and treatment intervals, except for time to RT. Focused interventions that help care providers access imaging quickly for their symptomatic patients could improve time to diagnosis. Concentrating additional efforts on non-English-speaking, Hispanic patients and those who need to receive RT could improve time to treatment.


Subject(s)
Breast Neoplasms/diagnosis , Delayed Diagnosis/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Safety-net Providers/statistics & numerical data , Time-to-Treatment/statistics & numerical data , Black or African American/statistics & numerical data , Aged , Breast Neoplasms/pathology , Breast Neoplasms/therapy , Chemotherapy, Adjuvant/economics , Chemotherapy, Adjuvant/statistics & numerical data , Colorado , Female , Healthcare Disparities/economics , Hispanic or Latino/statistics & numerical data , Humans , Insurance Coverage/economics , Insurance Coverage/statistics & numerical data , Mastectomy/economics , Mastectomy/statistics & numerical data , Middle Aged , Neoplasm Staging , Radiotherapy, Adjuvant/economics , Radiotherapy, Adjuvant/statistics & numerical data , Retrospective Studies , Safety-net Providers/economics , Socioeconomic Factors , Time Factors , White People/statistics & numerical data
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