scholarly journals Clinical and Microbiological Profile of Diabetic Foot Infections in Inpatients at a Tertiary Care Hospital

2021 ◽  
Vol 13 (17) ◽  
Author(s):  
Dhanaleha P ◽  
Anand MR ◽  
Jayapradha S ◽  
Abarna V
Keyword(s):  
Diabetic Foot ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Microbiological Profile ◽  
Diabetic Foot Infections

Clinical and microbiological profile of diabetic foot ulcer patients in a tertiary care hospital

2018 ◽  
Vol 12 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Ramya Kateel ◽  
Alfred J. Augustine ◽  
Shivananda Prabhu ◽  
Sheetal Ullal ◽  
Manohar Pai ◽  
...  
Keyword(s):  
Diabetic Foot ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Care Hospital ◽  
Microbiological Profile

ICD-10 Diagnostic Coding for Identifying Hospitalizations Related to a Diabetic Foot Ulcer

2021 ◽  
Vol 44 (4) ◽  
pp. E11-16
Author(s):  
Muzammil H. Syed ◽  
Mohammed Al-Omran ◽  
Jean Jacob-Brassard ◽  
Joel G. Ray ◽  
Mohamad A. Hussain ◽  
...  
Keyword(s):  
Lower Limb ◽  
Diabetic Foot ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Care Hospital ◽  
Reference Standard ◽  
Diagnostic Coding ◽  
Icd 10

Purpose: To estimate the positive predictive value (PPV) of Canadian ICD-10 diagnostic coding for the identification of hospitalization related to a diabetic foot ulcer (DFU). Methods: Hospitalizations related to a neuropathic and/or ischemic DFU were identified from the Discharge Abstract Database (DAD) records of a single Canadian tertiary care hospital between April 1, 2002 and March 31, 2019. The first coding approach required a most responsible diagnosis (MRDx) code for diabetes-specific foot ulceration or gangrene (DSFUG group). Three alternative coding approaches were also considered: MRDx code for lower-limb osteomyelitis (osteomyelitis group); lower-limb ulceration (LLU group); or lower-limb atherosclerotic gangrene (atherosclerosis group)—each in conjunction with a non-MRDx DSFUG code on the same DAD record. From all eligible DAD records, random samples were drawn for each coding group. DAD records were independently compared by a masked reviewer who manually abstracted data from the entire hospital record (reference standard). The PPV and 95% CI were generated. Results: Out of 1,460 hospitalizations, a total of 300, 50, 33 and seven records were included from the DSFUG, osteomyelitis, LLU and atherosclerosis samples, respectively. Compared to the reference standard, the PPV for all 390 records was 88.5% (95% CI 84.9 to 91.5). The DSFUG group had the highest PPV (90.0%, 95% CI 86.0 to 93.2), followed by the atherosclerosis (85.7%, 95% CI 42.1 to 99.6), LLU (84.9%, 95% CI 68.1 to 94.9) and osteomyelitis (82.0%, 95% CI 68.6 to 91.4) groups. Conclusion: Based on data from a Canadian tertiary care hospital, the specified coding algorithms can be used to identify and study the management and outcomes of people hospitalized with a DFU in Ontario.

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