ABSTRACT
Cellulitis and soft tissue infections are a diverse group of diseases that range from uncomplicated cellulitis to necrotizing fasciitis. Management of predisposing conditions is the primary means of prevention. Cellulitis is a clinical diagnosis and thus is made on the basis of history and physical examination. Imaging may be helpful for characterizing purulent soft tissue infections and associated osteomyelitis. Treatment varies according to the type of infection. The foundations of treatment are drainage of purulence and antibiotics, the latter targeted at the infection's most likely cause.
Subject(s)
Cellulitis/diagnosis , Cellulitis/prevention & control , Soft Tissue Infections/diagnosis , Soft Tissue Infections/prevention & control , Animals , Anti-Bacterial Agents/therapeutic use , Bites and Stings/complications , Bites and Stings/microbiology , Cellulitis/microbiology , Diagnostic Imaging , Humans , Immunocompromised Host , Medical History Taking , Physical Examination , Referral and Consultation , Soft Tissue Infections/microbiology , Surgical Wound Infection/diagnosis , Surgical Wound Infection/microbiology , Surgical Wound Infection/prevention & controlABSTRACT
A needs assessment survey of infectious diseases (ID) training program directors identified gaps in educational resources for training and evaluating ID fellows in antimicrobial stewardship. An Infectious Diseases Society of America-sponsored core curriculum was developed to address that need.
Subject(s)
Antimicrobial Stewardship , Communicable Diseases , Curriculum , Education, Medical, Graduate , Fellowships and Scholarships , Humans , Needs Assessment , Preceptorship , Surveys and QuestionnairesABSTRACT
Inmates of Rikers Island jail potentially introduce Staphylococcus aureus into New York State prisons upon transfer. In this study, methicillin-resistant Staphylococcus aureus isolates (n = 452), collected from infected inmates (2009 to 2013), were characterized. spa type t008 was the predominant clone identified, accounting for 82.3% of the isolates, with no evidence of mupirocin or chlorhexidine resistance.
Subject(s)
Methicillin-Resistant Staphylococcus aureus/classification , Methicillin-Resistant Staphylococcus aureus/isolation & purification , Prisoners , Staphylococcal Infections/microbiology , Chlorhexidine/pharmacology , Drug Resistance, Bacterial , Humans , Methicillin-Resistant Staphylococcus aureus/genetics , Molecular Epidemiology , Molecular Typing , Mupirocin/pharmacology , New York/epidemiology , Prisons , Staphylococcal Infections/epidemiologyABSTRACT
BACKGROUND: A guideline identifying when inpatients with penicillin or cephalosporin antibiotic allergy labels (PCAAL) can receive ß-lactam antibiotics increased ß-lactam receipt at a large northeastern US health care system. OBJECTIVE: To report outcomes of implementing a similar guideline and electronic order set (OS) at an independent academic health care system. METHODS: Penicillin/cephalosporin receipt (percentage of inpatients receiving full doses) and alternative antibiotic use (days of therapy per 1000 patient-days [DOT/1000PD]) were compared over 3 periods before (February 1, 2017, to January 31, 2018) and after guideline implementation (February 1, 2018, to January 31, 2019), and after OS implementation (February 1, 2019, to January 31, 2020) among inpatients with PCAAL admitted on medical services with access to guideline/OS and education (Medical-PCAAL, n = 8721), surgical services with access to guideline/OS without education (Surgical-PCAAL, n = 5069), and obstetrics/gynecology services without interventions (Ob/Gyn-PCAAL, n = 798) and inpatients without PCAAL admitted on the same services (Medical-No-PCAAL, n = 50,840; Surgical-No-PCAAL, n = 29,845; Ob/Gyn-No-PCAAL, n = 6109). χ2 tests were used to compare categorical variables, and analysis of variance was used to compare continuous and interrupted time series analyses (ITSA) to investigate the guideline/OS implementation effect on penicillin/cephalosporin receipt. RESULTS: In the Medical-PCAAL group, penicillin/cephalosporin receipt increased (58%-68%, P < .001), specifically for cefazolin (8%-11%, P = .02) and third- to fifth-generation cephalosporins (43%-48%, P = .04), and aztreonam use decreased (12 DOT/1000PD, P = .03). In the Medical-No-PCAAL group, penicillin/cephalosporin receipt increased (88%-90%, P = .004), specifically for penicillin (40%-44%, P < .001), without changes in aztreonam use. Significant changes were not observed in these outcomes on surgical or obstetrics/gynecology services. Per ITSA, guideline/OS implementation was associated with increased penicillin/cephalosporin receipt in the Medical-PCAAL group only. CONCLUSION: Guideline and OS implementation was associated with improved antibiotic stewardship on inpatient services that also received allergy education.
Subject(s)
Drug Hypersensitivity , Hypersensitivity , Humans , Anti-Bacterial Agents/adverse effects , beta-Lactams/adverse effects , Inpatients , Aztreonam , Penicillins/adverse effects , Cephalosporins/therapeutic use , Cephalosporins/adverse effects , Drug Hypersensitivity/drug therapy , Hypersensitivity/drug therapy , Retrospective StudiesABSTRACT
Infectious meningitis and encephalitis are associated with significant morbidity and mortality worldwide. Acute bacterial meningitis is rapidly fatal and early recognition and institution of therapy are imperative. Viral meningitis is typically a benign self-limited illness. Chronic meningitis (defined as presenting with >4 weeks of symptoms) is most often caused by tuberculosis and fungal infection. Because the diagnostic testing for tuberculous meningitis is insensitive and cultures often take weeks to grow, therapy is often initiated empirically when the diagnosis is suspected. Human simplex virus encephalitis is the most common cause of encephalitis and requires prompt treatment with intravenous acyclovir.
Subject(s)
Encephalitis , Meningitis, Bacterial , Meningitis, Viral , Acyclovir , Encephalitis/diagnosis , Encephalitis/therapy , Humans , Meningitis, Bacterial/diagnosis , Meningitis, Viral/diagnosisABSTRACT
Cellulitis is a common infection of the skin and subcutaneous tissue caused predominantly by gram-positive organisms. Risk factors include prior episodes of cellulitis, cutaneous lesions, tinea pedis, and chronic edema. Cellulitis is a clinical diagnosis and presents with localized skin erythema, edema, warmth, and tenderness. Uncomplicated cellulitis can be managed in the outpatient setting with oral antibiotics. Imaging often is not required but can be helpful. Recurrent cellulitis is common and predisposing conditions should be assessed for and treated at the time of initial diagnosis. For patients with frequent recurrences despite management of underlying conditions, antimicrobial prophylaxis can be effective.
Subject(s)
Anti-Bacterial Agents/therapeutic use , Cellulitis/diagnosis , Cellulitis/drug therapy , Antibiotic Prophylaxis/methods , Cellulitis/epidemiology , Cellulitis/microbiology , Drainage/methods , Edema/epidemiology , Erysipelas/diagnosis , Erythema/epidemiology , Fasciitis, Necrotizing/diagnosis , Humans , Obesity/epidemiology , Recurrence , Risk Factors , Sepsis/diagnosis , Streptococcal Infections/diagnosis , Streptococcus , Tinea Pedis/epidemiologyABSTRACT
OBJECTIVE: A significant proportion of inpatient antimicrobial prescriptions are inappropriate. Post-prescription review with feedback has been shown to be an effective means of reducing inappropriate antimicrobial use. However, implementation is resource intensive. Our aim was to evaluate the performance of traditional statistical models and machine-learning models designed to predict which patients receiving broad-spectrum antibiotics require a stewardship intervention. METHODS: We performed a single-center retrospective cohort study of inpatients who received an antimicrobial tracked by the antimicrobial stewardship program. Data were extracted from the electronic medical record and were used to develop logistic regression and boosted-tree models to predict whether antibiotic therapy required stewardship intervention on any given day as compared to the criterion standard of note left by the antimicrobial stewardship team in the patient's chart. We measured the performance of these models using area under the receiver operating characteristic curves (AUROC), and we evaluated it using a hold-out validation cohort. RESULTS: Both the logistic regression and boosted-tree models demonstrated fair discriminatory power with AUROCs of 0.73 (95% confidence interval [CI], 0.69-0.77) and 0.75 (95% CI, 0.72-0.79), respectively (P = .07). Both models demonstrated good calibration. The number of patients that would need to be reviewed to identify 1 patient who required stewardship intervention was high for both models (41.7-45.5 for models tuned to a sensitivity of 85%). CONCLUSIONS: Complex models can be developed to predict which patients require a stewardship intervention. However, further work is required to develop models with adequate discriminatory power to be applicable to real-world antimicrobial stewardship practice.