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ICD10 code of Laryngomalacia and ICD9 code
What is the ICD10 code for Laryngomalacia? And the ICD9 code for Laryngomalacia?
Laryngomalacia is a condition characterized by the softening of the laryngeal cartilage, leading to airway obstruction in infants. The ICD-10 code for laryngomalacia is Q31.5. In the previous ICD-9 coding system, laryngomalacia was classified under code 748.3. It is important to consult with a healthcare professional for accurate diagnosis and appropriate treatment options.
Laryngomalacia is a congenital condition characterized by the softening of the laryngeal cartilages, resulting in partial airway obstruction. The International Classification of Diseases, Tenth Revision (ICD-10) provides a specific code to identify this condition. The ICD-10 code for laryngomalacia is Q31.5. This code falls under the category of "Congenital malformations of the respiratory system" (Q30-Q34) in the ICD-10 coding system.
On the other hand, the previous version of the coding system, the International Classification of Diseases, Ninth Revision (ICD-9), assigns a different code for laryngomalacia. In ICD-9, this condition is classified under code 748.3, which falls under the category "Other anomalies of the respiratory system" (748).
It is important to note that the ICD-10 code provides a more detailed and specific classification compared to the ICD-9 code. The transition from ICD-9 to ICD-10 has allowed for improved accuracy and specificity in medical coding, enabling better tracking, analysis, and management of various health conditions.
On the other hand, the previous version of the coding system, the International Classification of Diseases, Ninth Revision (ICD-9), assigns a different code for laryngomalacia. In ICD-9, this condition is classified under code 748.3, which falls under the category "Other anomalies of the respiratory system" (748).
It is important to note that the ICD-10 code provides a more detailed and specific classification compared to the ICD-9 code. The transition from ICD-9 to ICD-10 has allowed for improved accuracy and specificity in medical coding, enabling better tracking, analysis, and management of various health conditions.
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