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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 J+Neurosurg+Pediatr
2016 ; 17
(5
): 519-24
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Chiari malformation Type I surgery in pediatric patients Part 1: validation of
an ICD-9-CM code search algorithm
#MMPMID26799412
Ladner TR
; Greenberg JK
; Guerrero N
; Olsen MA
; Shannon CN
; Yarbrough CK
; Piccirillo JF
; Anderson RC
; Feldstein NA
; Wellons JC 3rd
; Smyth MD
; Park TS
; Limbrick DD Jr
J Neurosurg Pediatr
2016[May]; 17
(5
): 519-24
PMID26799412
show ga
OBJECTIVE Administrative billing data may facilitate large-scale assessments of
treatment outcomes for pediatric Chiari malformation Type I (CM-I). Validated
International Classification of Diseases, Ninth Revision, Clinical Modification
(ICD-9-CM) code algorithms for identifying CM-I surgery are critical
prerequisites for such studies but are currently only available for adults. The
objective of this study was to validate two ICD-9-CM code algorithms using
hospital billing data to identify pediatric patients undergoing CM-I
decompression surgery. METHODS The authors retrospectively analyzed the validity
of two ICD-9-CM code algorithms for identifying pediatric CM-I decompression
surgery performed at 3 academic medical centers between 2001 and 2013. Algorithm
1 included any discharge diagnosis code of 348.4 (CM-I), as well as a procedure
code of 01.24 (cranial decompression) or 03.09 (spinal decompression or
laminectomy). Algorithm 2 restricted this group to the subset of patients with a
primary discharge diagnosis of 348.4. The positive predictive value (PPV) and
sensitivity of each algorithm were calculated. RESULTS Among 625 first-time
admissions identified by Algorithm 1, the overall PPV for CM-I decompression was
92%. Among the 581 admissions identified by Algorithm 2, the PPV was 97%. The PPV
for Algorithm 1 was lower in one center (84%) compared with the other centers
(93%-94%), whereas the PPV of Algorithm 2 remained high (96%-98%) across all
subgroups. The sensitivity of Algorithms 1 (91%) and 2 (89%) was very good and
remained so across subgroups (82%-97%). CONCLUSIONS An ICD-9-CM algorithm
requiring a primary diagnosis of CM-I has excellent PPV and very good sensitivity
for identifying CM-I decompression surgery in pediatric patients. These results
establish a basis for utilizing administrative billing data to assess pediatric
CM-I treatment outcomes.