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 ◽  
...  

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.

2021 ◽  
Vol 9 (3) ◽  
pp. 293
Author(s):  
Arisvia Sukma Hariftyani ◽  
Hermina Novida ◽  
Mouli Edward

Background: Diabetic Foot Ulcer (DFU) has been associated with a high mortality rate of Diabetes Mellitus (DM) patients. Both behavioral and biological factors cause predisposition to DFU. Purpose: This research describes the profile of hospitalized DFU patients at a tertiary care hospital in Surabaya. Methods: A retrospective descriptive study that analyzed medical records of hospitalized T2DM patients with DFU in Dr. Soetomo General Hospital. Sampled respondents were patients ≥ 21 years old who were hospitalized between 2016–2018. Demographic data, clinical characteristics, medical histories, length of hospital stay, laboratory results, precipitating factors, microorganism culture results, treatment, and outcome were analyzed. Descriptive analysis is presented in the form of narratives, tables, and diagrams. Results: 9.08% of hospitalized Type 2 DM (T2DM) cases were related to foot ulcers. The average patient age was 57.00 ± 9.83 years with no gender predominance. DM was poorly controlled (Mean HbA1C 9.78±2.83%; RBG 251.83 ± 158.15 mg/dL). The majority of patients had sepsis (68.26%) and renal function impairment (62.72%). Ulcers with Wagner grades of 4–5 were frequent (41.31%). The highest percentage of sepsis (80.49%) and the average leukocyte level (22.60±11.95 x109/L) were found in gangrenous feet. Anemia was more predominant and severe in ulcers with higher Wagner grades. Trauma and Escherichia coli were the most common precipitating factors and microorganisms isolated, respectively. Amputation was performed for 82.36% of patients who were admitted to hospital with gangrene. The Lower Extremity Amputation (LEA) and mortality rates were 14.11% and 40.93%, respectively. Conclusion: DFUs were found to have a relatively high prevalence among T2DM patients, and must never be neglected due to the high associated mortality rate.


2018 ◽  
Vol 12 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Ramya Kateel ◽  
Alfred J. Augustine ◽  
Shivananda Prabhu ◽  
Sheetal Ullal ◽  
Manohar Pai ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document