OBJECTIVES: To determine the positive predictive values of inpatient and outpatient ICD-9 codes and status code V12.54 for identifying confirmed history of stroke or transient ischemic attack (cerebral event) among patients within a managed care organization. STUDY DESIGN: Retrospective, cohort study. METHODS: Inpatient hospital claims and outpatient visit records were used to identify patients with ICD-9 codes (430.XX to 438.XX) or status code V12.54 in the primary or secondary position recorded between January 1, 2001, and December 31, 2009. A standardized chart abstraction tool was used by trained chart abstractors blinded to the coding to confirm the cerebral event and classify stroke type. Positive predictive values (PPVs) were calculated for each code based on care setting. RESULTS: A total of 4689 patients with 10,376 unique stroke codes recorded in the administrative data were reviewed. Of these, 2785 (59.4%) patients had a confirmed cerebral event. The codes with PPV less than 90% were 434.XX, 433 .X1, and V12.54 where codes were recorded in both the inpatient and outpatient settings. Overall, inpatient-only codes produced higher PPVs; however, relatively fewer events were captured in this setting. CONCLUSIONS: Administrative ICD-9 codes 434.XX, 433.X1, and V12.54 had consistently high PPVs in identifying patients with a confirmed cerebral event. These codes could be used as part of a probabilistic approach to focus care activities on patients with the highest likelihood of a cerebral event.
OBJECTIVES: To determine the positive predictive values of inpatient and outpatient ICD-9 codes and status code V12.54 for identifying confirmed history of stroke or transient ischemic attack (cerebral event) among patients within a managed care organization. STUDY DESIGN: Retrospective, cohort study. METHODS: Inpatient hospital claims and outpatient visit records were used to identify patients with ICD-9 codes (430.XX to 438.XX) or status code V12.54 in the primary or secondary position recorded between January 1, 2001, and December 31, 2009. A standardized chart abstraction tool was used by trained chart abstractors blinded to the coding to confirm the cerebral event and classify stroke type. Positive predictive values (PPVs) were calculated for each code based on care setting. RESULTS: A total of 4689 patients with 10,376 unique stroke codes recorded in the administrative data were reviewed. Of these, 2785 (59.4%) patients had a confirmed cerebral event. The codes with PPV less than 90% were 434.XX, 433 .X1, and V12.54 where codes were recorded in both the inpatient and outpatient settings. Overall, inpatient-only codes produced higher PPVs; however, relatively fewer events were captured in this setting. CONCLUSIONS: Administrative ICD-9 codes 434.XX, 433.X1, and V12.54 had consistently high PPVs in identifying patients with a confirmed cerebral event. These codes could be used as part of a probabilistic approach to focus care activities on patients with the highest likelihood of a cerebral event.
Authors: Tadahiro Goto; Yuichi J Shimada; Mohammad Kamal Faridi; Carlos A Camargo; Kohei Hasegawa Journal: J Gen Intern Med Date: 2018-06-08 Impact factor: 5.128
Authors: G A Roccaro; D S Goldberg; W-T Hwang; R Judy; A Thomasson; S E Kimmel; K A Forde; J D Lewis; Y-X Yang Journal: Am J Transplant Date: 2017-07-27 Impact factor: 8.086
Authors: Yizhao Ni; Kathleen Alwell; Charles J Moomaw; Daniel Woo; Opeolu Adeoye; Matthew L Flaherty; Simona Ferioli; Jason Mackey; Felipe De Los Rios La Rosa; Sharyl Martini; Pooja Khatri; Dawn Kleindorfer; Brett M Kissela Journal: PLoS One Date: 2018-02-14 Impact factor: 3.240
Authors: Guowei Li; Lehana Thabane; Thomas Delate; Daniel M Witt; Mitchell A H Levine; Ji Cheng; Anne Holbrook Journal: PLoS One Date: 2016-08-11 Impact factor: 3.240
Authors: Guowei Li; Anne Holbrook; Thomas Delate; Daniel M Witt; Mitchell Ah Levine; Lehana Thabane Journal: BMJ Open Date: 2015-11-05 Impact factor: 2.692
Authors: Eric M Ammann; Enrique C Leira; Scott K Winiecki; Nandakumar Nagaraja; Sudeepta Dandapat; Ryan M Carnahan; Marin L Schweizer; James C Torner; Candace C Fuller; Charles E Leonard; Crystal Garcia; Madelyn Pimentel; Elizabeth A Chrischilles Journal: Medicine (Baltimore) Date: 2017-12 Impact factor: 1.889