The impact of ICD-9-CM code rank order on the estimated prevalence of Clostridium difficile infections.

BACKGROUND: US estimates of the Clostridium difficile infection (CDI) burden have utilized International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes. Whether ICD-9-CM code rank order affects CDI prevalence estimates is important because the National Hospital Discharge Survey (NHDS) and the Nationwide Inpatient Sample (NIS) have varying limits on the number of ICD-9-CM codes collected. METHODS: ICD-9-CM codes for CDI (008.45), C. difficile toxin assay results, and dates of admission and discharge were collected from electronic hospital databases for adult patients admitted to 4 hospitals in the United States from July 2000 through June 2006. CDI prevalence per 1000 discharges was calculated and compared for NHDS and NIS limits and toxin assay results from the same hospitals. CDI prevalence estimates were compared using the χ(2) test, and the test of equality was used to compare slopes. RESULTS: CDI prevalence measured by NIS criteria was significantly higher than that measured using NHDS criteria (10.7 cases per 1000 discharges versus 9.4 cases per 1000 discharges; P<.001) in the 4 hospitals. CDI prevalence measured by toxin assay results was 9.4 cases per 1000 discharges (P=.57 versus NHDS). However, the CDI prevalence increased more rapidly over time when measured according to the NHDS criteria than when measured according to toxin assay results (ß=1.09 versus 0.84; P=.008). CONCLUSIONS: Compared with the NHDS definition, the NIS definition captured 12% more CDI cases and reported significantly higher CDI rates. Rates calculated using toxin assay results were not different from rates calculated using NHDS criteria, but CDI prevalence appeared to increase more rapidly when measured by NHDS criteria than when measured by toxin assay results.

Diabetic foot osteomyelitis: bone markers and treatment outcomes.

AIMS: Novel bone turnover markers could help with the diagnosis and monitoring of osteomyelitis patients. We compared levels of two bone turnover markers, serum amino-terminal telopeptides (NTx) and bone alkaline phosphatase (BAP), in diabetic patients with and without osteomyelitis. METHODS: Matched case-control study was conducted with diabetic patients with and without osteomyelitis. Cases not undergoing immediate amputation were followed with repeat measurements after osteomyelitis treatment and for outcome determination. RESULTS: Analysis included 54 subjects, 27 cases and 27 controls. Median BAP levels were similar between cases and controls at enrollment (p=.55) as were median NTx levels (p=.43). Cases with follow-up data (n=18) had similar bone marker levels at enrollment and 6 weeks. No significant differences in BAP or NTx levels at enrollment or follow-up were seen between cases with poor versus favorable outcomes. CONCLUSIONS: No differences in NTx or BAP levels were seen between cases and controls. Cases with follow-up data had similar levels at enrollment and 6 weeks. Lack of difference may be due to small sample size, small areas of bone involved in foot osteomyelitis, or limitations of these specific markers. More research is needed.

Implementing automated surveillance for tracking Clostridium difficile infection at multiple healthcare facilities.

Automated surveillance using electronically available data has been found to be accurate and save time. An automated Clostridium difficile infection (CDI) surveillance algorithm was validated at 4 Centers for Disease Control and Prevention Epicenter hospitals. Electronic surveillance was highly sensitive, specific, and showed good to excellent agreement for hospital-onset; community-onset, study facility-associated; indeterminate; and recurrent CDI.

A multicenter study of Clostridium difficile infection-related colectomy, 2000-2006.

OBJECTIVE: To assess Clostridium difficile infection (CDI)-related colectomy rates by CDI surveillance definitions and over time at multiple healthcare facilities. SETTING: Five university-affiliated acute care hospitals in the United States. DESIGN AND METHODS: Cases of CDI and patients who underwent colectomy from July 2000 through June 2006 were identified from 5 US tertiary care centers. Monthly CDI-related colectomy rates were calculated as the number of CDI-related colectomies per 1,000 CDI cases, and cases were categorized according to recommended surveillance definitions. Logistic regression was performed to evaluate risk factors for CDI-related colectomy. RESULTS: In total, 8,569 cases of CDI were identified, and 75 patients underwent CDI-related colectomy. The overall colectomy rate was 8.7 per 1,000 CDI cases. The CDI-related colectomy rate ranged from 0 to 23 per 1,000 CDI episodes across hospitals. The colectomy rate for healthcare-facility-onset CDI was 4.3 per 1,000 CDI cases, and that for community-onset CDI was 16.5 per 1,000 CDI cases (P < .05). There were significantly more CDI-related colectomies at hospitals B and C (P < .05). CONCLUSIONS: The overall CDI-related colectomy rate was low, and there was no significant change in the CDI-related colectomy rate over time. Onset of disease outside the study hospital was an independent risk factor for colectomy.