Asthma Primary care

Luke Daines, Ann Morgan, Mome Mukherjee, Mohammad Al Sallakh, Eimear O'Rourke, Jennifer K Quint

Disease or syndrome
Version ID
Valid event data range
01/01/2001 to 01/11/2021
Agreement Date
Coding system
Read codes v2 Med codes CTV3 codes ICPC-2 codes
Tags /Collections
BREATHE Phenotype Library


  • Not found code search
  • Validation of Read Codes for the Identification of Asthma in CPRDNissen et al. validated a set of Read codes for the identification of asthma in CPRD in 2017. Use of specific asthma codes alone for identification of asthma patients had a positive predictive value (PPV) of 86.4 (77.4 to 95.4). The algorithm with the highest PPV included a non-specific asthma code, evidence of reversibility testing, and prescription of medication (PPV = 90.7 (82.8 to 98.7)).nanF. Nissen, Morales, D. R., Mullerova, H., Smeeth, L., Douglas, I. J., and Quint, J. K., “Validation of asthma recording in the Clinical Practice Research Datalink (CPRD)”, BMJ Open, vol. 7, p. e017474, 2017.nanSystematic Review of Asthma Coding in EHRAl Sallakh et al. and Nissen et al. both reviewed the literature for the validation of asthma in EHR in 2017. They found that high PPV were possible using a variaty of methods; however, there was high heterogeneity in the methods used.nanF. Nissen, Quint, J. K., Wilkinson, S., Mullerova, H., Smeeth, L., Douglas, I. J., "Validation of Asthma Recording in Electronic Health Records: A Systematic Review", Clinical Epidemiology, vol. 9, p. 643-656, 2017.F. Nissen, Quint, J. K., Wilkinson, S., Mullerova, H., Smeeth, L., Douglas, I. J., "Validation of Asthma Recording in Electronic Health Records: Protocol for a Systematic Review ", BMJ Open, vol. 7, p. e014694, 2017.M. A. Al Sallakh, Vadileiou E., Rodgers, S. E., Lyons, R. A., Sheikh, A., Davies, G. A., "Defining asthma and assessing asthma outcomes using electronic health record data: a systematic scoping review", Eur Respir J, vol. 49, p. 1700204, 2017.


These codes will capture asthma ever, not just current asthma. These codes are not intended to be mandatory, but are to be used as a starting point for the identification of asthma in routine EHR. Each study may differ in the sensitivity and specificity of the coding required.

For those interested in further discrimination of asthma phenotypes, we refer you to Nissen et al. 2019.

F. Nissen, Douglas, I. J., Mullerova, H., Pearce, N., Bloom, C. I., Smeeth, L., and Quint, J. K., “Clinical profile of predefined asthma phenotypes in a large cohort of UK primary care patients (Clinical Practice Research Datalink)”, J Asthma Allergy, vol. 12, pp. 7-19, 2019.

Not found code search


  • Publications from 2019 using validated Read codes from Nissen et al. 2017

  • F. Nissen, Douglas, I. J., Mullerova, H., Pearce, N., Bloom, C. I., Smeeth, L., and Quint, J. K., “Clinical profile of predefined asthma phenotypes in a large cohort of UK primary care patients (Clinical Practice Research Datalink)”, J Asthma Allergy, vol. 12, pp. 7-19, 2019.

  • C. I. Bloom, Walker, S., and Quint, J. K., “Inadequate specialist care referrals for high-risk asthma patients in the UK: an adult population-based cohort 2006-2017”, J Asthma, pp. 1-7, 2019.

  • D. Dedman, Coton, S. J., Ghosh, R. E., Meeraus, W., Crim, C., Harvey, C., Amelio, J., and Landis, S. H., “Treatment Patterns of New Users of Fluticasone Furoate/Vilanterol in Asthma and COPD in UK Primary Care: Retrospective Cohort Study”, Pulmonary Therapy, vol. 5, pp. 81-95, 2019.

  • Wellcome Open Research


  • Publications from 2019 using Read codes from QOF

  • P. Rockenschaub, Jhass, A., Freemantle, N., Aryee, A., Rafiq, M., Hayward, A., and Shallcross, L., “Opportunities to reduce antibiotic prescribing for patients with COPD in primary care: a cohort study using electronic health records from the Clinical Practice Research Datalink (CPRD)”, J Antimicrob Chemother, 2019.

  • Publications from search (2018-Nov 2021)

  • Andrews AL, Brinton D, Simpson KN, Simpson AN. A longitudinal examination of the asthma medication ratio in children. Am J Manag Care. 2018;24(6):294-300.

  • Baan EJ, Janssens HM, Kerckaert T, Bindels PJE, de Jongste JC, Sturkenboom M, et al. Antibiotic use in children with asthma: cohort study in UK and Dutch primary care databases. BMJ Open. 2018;8(11):e022979.

  • Blakey JD, Gayle A, Slater MG, Jones GH, Baldwin M. Observational cohort study to investigate the unmet need and time waiting for referral for specialist opinion in adult asthma in England (UNTWIST asthma). BMJ Open. 2019;9(11):e031740.

  • Campbell EA, Bass EJ, Masino AJ. Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma. J Am Med Inform Assoc. 2020;27(4):558-66.

  • Chen Y, Hayward R, Chew-Graham CA, Hubbard R, Croft P, Sims K, et al. Prognostic value of first-recorded breathlessness for future chronic respiratory and heart disease: a cohort study using a UK national primary care database. Br J Gen Pract. 2020;70(693):e264-e73.

  • Choi H, Lee H, Ryu J, Chung SJ, Park DW, Sohn JW, et al. Bronchiectasis and increased mortality in patients with corticosteroid-dependent severe asthma: a nationwide population study. Ther Adv Respir Dis. 2020;14:1753466620963030.

  • Coutts J, Fullarton J, Morris C, Grubb E, Buchan S, Rodgers-Gray B, et al. Association between respiratory syncytial virus hospitalization in infancy and childhood asthma. Pediatr Pulmonol. 2020;55(5):1104-10.

  • Gokhale M, Hattori T, Evitt L, Lenney W, Nordstrom B, Collins J, et al. Burden of asthma exacerbations and health care utilization in pediatric patients with asthma in the US and England. Immun Inflamm Dis. 2020;8(2):236-45.

  • Gupta RP, Mukherjee M, Sheikh A, Strachan DP. Persistent variations in national asthma mortality, hospital admissions and prevalence by socioeconomic status and region in England. Thorax. 2018;73(8):706-12.

  • Ishii T, Shiota S, Yamamoto K, Abe K, Miyazaki E. Inhaled Corticosteroid-Containing Regimens Reduce Hospitalizations and Healthcare Costs among Elderly Asthmatics: Real-World Validation Using the National Health Insurance Claims Database. Tohoku J Exp Med. 2020;251(2):135-45.

  • Kamei T, Kanaji N, Nakamura H, Arakawa Y, Miyawaki H, Kishimoto N, et al. Asthma mortality based on death certificates: A demographic survey in Kagawa, Japan. Respir Investig. 2019;57(3):268-73.

  • Kang HR, Song HJ, Nam JH, Hong SH, Yang SY, Ju S, et al. Risk factors of asthma exacerbation based on asthma severity: a nationwide population-based observational study in South Korea. BMJ Open. 2018;8(3):e020825.

  • Karlsson Sundbaum J, Vanfleteren L, Konradsen JR, Nyberg F, Ekberg-Jansson A, Stridsman C. Severe COVID-19 among patients with asthma and COPD: a report from the Swedish National Airway Register. Ther Adv Respir Dis. 2021;15:17534666211049738.

  • Kerkhof M, Tran TN, Soriano JB, Golam S, Gibson D, Hillyer EV, et al. Healthcare resource use and costs of severe, uncontrolled eosinophilic asthma in the UK general population. Thorax. 2018;73(2):116-24.

  • Kerkhof M, Tran TN, van den Berge M, Brusselle GG, Gopalan G, Jones RCM, et al. Association between blood eosinophil count and risk of readmission for patients with asthma: Historical cohort study. PLoS One. 2018;13(7):e0201143.

  • Khakban A, FitzGerald JM, Tavakoli H, Lynd L, Ehteshami-Afshar S, Sadatsafavi M. Extent, trends, and determinants of controller/reliever balance in mild asthma: a 14-year population-based study. Respir Res. 2019;20(1):44.

  • Krishna MT, Subramanian A, Adderley NJ, Zemedikun DT, Gkoutos GV, Nirantharakumar K. Allergic diseases and long-term risk of autoimmune disorders: longitudinal cohort study and cluster analysis. Eur Respir J. 2019;54(5).

  • Levy ML, Garnett F, Kuku A, Pertsovskaya I, McKnight E, Haughney J. A review of asthma care in 50 general practices in Bedfordshire, United Kingdom. NPJ Prim Care Respir Med. 2018;28(1):29.

  • Mattiuzzi C, Lippi G. Worldwide asthma epidemiology: insights from the Global Health Data Exchange database. Int Forum Allergy Rhinol. 2020;10(1):75-80.

  • Munoz FA, Benton LD, Kops SA, Kowalek KA, Seckeler MD. Greater length of stay and hospital charges for severe asthma in children with depression or anxiety. Pediatr Pulmonol. 2020;55(11):2908-12.

  • Nagasaki T, Sato K, Kume N, Oguma T, Sunadome H, Ito I, et al. The prevalence and disease burden of severe eosinophilic asthma in Japan. J Asthma. 2019;56(11):1147-58.

  • Oliver P, Hulin J, Mitchell C. A primary care database study of asthma among patients with and without opioid use disorders. NPJ Prim Care Respir Med. 2020;30(1):17.

  • Paciej P, Dziankowska-Zaborszczyk E, Ciabiada B, Bryła M, Maniecka-Bryła I. Years of life lost due to bronchial asthma in Poland between 1999 and 2013. J Asthma. 2018;55(6):668-74.

  • Sakai-Bizmark R, Chang RR, Mena LA, Webber EJ, Marr EH, Kwong KY. Asthma Hospitalizations Among Homeless Children in New York State. Pediatrics. 2019;144(2).

  • Seol HY, Wi CI, Ryu E, King KS, Divekar RD, Juhn YJ. A diagnostic codes-based algorithm improves accuracy for identification of childhood asthma in archival data sets. J Asthma. 2021;58(8):1077-86.

  • Shaw DE, Gaynor CM, Fogarty AW. Changes in asthma mortality in England and Wales since 2001. Thorax. 2019;74(12):1174-5.

  • To T, Feldman LY, Zhu J, Gershon AS. Asthma health services utilisation before, during and after pregnancy: a population-based cohort study. Eur Respir J. 2018;51(4).

  • Turner SW, Murray C, Thomas M, Burden A, Price DB. Applying UK real-world primary care data to predict asthma attacks in 3776 well-characterised children: a retrospective cohort study. NPJ Prim Care Respir Med. 2018;28(1):28.

  • van der Pol M, Olajide D, Dusheiko M, Elliott R, Guthrie B, Jorm L, et al. The impact of quality and accessibility of primary care on emergency admissions for a range of chronic ambulatory care sensitive conditions (ACSCs) in Scotland: longitudinal analysis. BMC Fam Pract. 2019;20(1):32.

  • Veeranki SP, Ohabughiro MU, Moran J, Mehta HB, Ameredes BT, Kuo YF, et al. National estimates of 30-day readmissions among children hospitalized for asthma in the United States. J Asthma. 2018;55(7):695-704.

  • Wang YC, Tsai CS, Yang YH, Huang KY, Hsieh WC, Kuo TY, et al. Association Between Enterovirus Infection and Asthma in Children: A 16-year Nationwide Population-based Cohort Study. Pediatr Infect Dis J. 2018;37(9):844-9.

  • Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430-6.

  • Wu TD, Keet CA, Fawzy A, Segal JB, Brigham EP, McCormack MC. Association of Metformin Initiation and Risk of Asthma Exacerbation. A Claims-based Cohort Study. Ann Am Thorac Soc. 2019;16(12):1527-33.

  • Xie S, Himes BE. Approaches to Link Geospatially Varying Social, Economic, and Environmental Factors with Electronic Health Record Data to Better Understand Asthma Exacerbations. AMIA Annu Symp Proc. 2018;2018:1561-70.

  • Yang G, Han YY, Forno E, Yan Q, Rosser F, Chen W, et al. Glycated Hemoglobin A(1c), Lung Function, and Hospitalizations Among Adults with Asthma. J Allergy Clin Immunol Pract. 2020;8(10):3409-15.e1.

  • Yoo S, Kim DW, Kim YE, Park JH, Kim YY, Cho KD, et al. Data resource profile: the allergic disease database of the Korean National Health Insurance Service. Epidemiol Health. 2021;43:e2021010.

  • Ziyab AH, Abul AT. Trends in asthma hospital admissions and mortality in Kuwait, 2000-2014: a national retrospective observational study. BMJ Open. 2018;8(5):e021244.

  • Code repositories

  • Source- Journal of the Royal Society of Medicine - Title- Trends in the epidemiology of asthma in England: a national study of 333,294 patients - Code type- Read2

  • Source- NHS Digital - Title- QOF v45.0 Business rules (AST_COD) - Code type- Read2, ReadCTV3

  • Source- BMJ Open - Title- Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort

    • Code type- Read?
  • Source- BMC Medicine - Title- The epidemiology, healthcare and societal burden and costs of asthma in the UK and its member nations: analyses of standalone and linked national databases (Additional file 1) - Code type- Read2

  • Source- Allergy - Title- Usage of allergy codes in primary care electronic health records - Code type- Read2

  • Source- PCRS-UK - Title- The nine processes to achieve Asthma Right Care (ARC) - Code type- Read2, SNOMED-CT

  • Source- BMJ Open - Title- Estimating the incidence, prevalence and true cost of asthma in the UK: secondary analysis of national stand-alone and linked databases in England, Northern Ireland, Scotland and Wales—a study protocol (Appendix 2 & 3) - Code type- Read2, ReadCTV3

  • Source- BMJ Open - Title- Validation of asthma recording in the Clinical Practice Research Datalink (CPRD) - Code type- Medcode

  • Source- - Title- Effect of financial incentives on incentivised and non-incentivised clinical activities: longitudinal analysis of data from the UK Quality and Outcomes Framework - Code type- Read2, OXMIS

  • Source- OpenSafely - Title- Asthma diagnosis (Based on Nissen's list A9) - Code type- CTV3

  • Source- OpenSafely - Title- Current Asthma - Code type- ReadCTV3

  • Source- OpenSafely - Title- Asthma inhaler salbutamol - Code type- BNF

  • Source- OpenSafely - Title- Asthma oral prednisolone - Code type- SNOMED-CT, BNF, dm+d

  • Source- LSHTM Data Compass - Title- Asthma codes - Code type- medcode

  • Source- LSHTM Data Compass - Title- Asthma ICD-10 codes - Code type- ICD-10

  • Source- LSHTM Data Compass - Title- Asthma Read codes - Code type- Read2, medcode

  • Source- LSHTM Data Compass - Title- Asthma diagnostic Read codes - Code type- Read2, medcode

  • Source- LSHTM Data Compass - Title- Asthma diagnostic ICD-10 codes - Code type- ICD-10

  • Source- UK Biobank - Title- Definitions of Asthma for UK Biobank Phase 1 Outcomes Adjudication (2018) - Code type- ICD-9, ICD-10

  • Source- University of Cambridge - Title- Asthma (currently treated) List developed by Cambridge CPRD group, sourced from QOF and 10.1136/bmj.g330 (1). Combines Read codes with prescription list. Download contains csv file, and meta data (provenance, citations & links, and code counts - Code type- Read codes (GOLD)

  • Source- ORCHID Oxford-RCGP Clinical Informatic Digital Hub  - Title- Code lists do not appear to be available - Code type-

  • Source- NHS England - Title- - Code type- SNOMED-CT

  • Source- Keele University - Title- - Code type- Read2

Clinical Code List

Rows: 155
Code Description Breathe recommended Nissen, F., et al (2017). (Specific Asthma Codes) Nissen, F., et al (2017). (Non-specific Asthma Codes) Nissen, F.,et al (2017). (Asthma)
100107 health education - asthma self management Y Y
100397 asthma control questionnaire Y Y Y
10043 asthma annual review Y Y Y
100509 under care of asthma specialist nurse Y Y Y
100740 health education - structured asthma discussion Y Y Y
102170 asthma review using roy colleg of physicians three questions Y Y Y
102209 mini asthma quality of life questionnaire Y Y Y
102301 asthma trigger - seasonal Y Y Y
102341 asthma trigger - pollen Y Y Y
102395 asthma causes symptoms most nights Y Y Y
102400 asthma causes night time symptoms 1 to 2 times per week Y Y Y
102449 asthma trigger - respiratory infection Y Y Y
102713 asthma limits activities 1 to 2 times per month Y Y Y
10274 asthma medication review Y Y Y
102871 asthma trigger - exercise Y Y Y
102888 asthma limits activities 1 to 2 times per week Y Y Y
102952 asthma trigger - warm air Y Y Y
103318 health education - structured patient focused asthma discuss Y Y Y
103321 asthma trigger - animals Y Y Y
103612 asthma never causes night symptoms Y Y
103631 royal college physician asthma assessment 3 question score Y Y
103813 asthma trigger - cold air Y Y
103944 asthma trigger - airborne dust Y Y
103945 asthma trigger - damp Y Y
103952 asthma trigger - emotion Y Y
103955 asthma trigger - tobacco smoke Y Y
103998 asthma limits activities most days Y Y
10487 asthma - currently active Y Y Y
105420 asthma self-management plan review Y Y
105674 asthma self-management plan agreed Y Y
106805 chronic asthma with fixed airflow obstruction Y Y
107167 number days absent from school due to asthma in past 6 month Y Y
11022 Asthma trigger Y Y Y
11370 asthma confirmed Y Y Y
11387 refuses asthma monitoring Y Y
11673 excepted from asthma quality indicators: patient unsuitable Y
11695 excepted from asthma quality indicators: informed dissent Y
1208 Childhood asthma Y Y Y
12987 late-onset asthma Y Y Y
13064 asthma severity Y Y Y
13065 moderate asthma Y Y Y
13066 asthma - currently dormant Y
13173 Asthma not disturbing sleep Y Y Y
13174 Asthma not limiting activities Y Y Y
13175 asthma disturbs sleep frequently Y Y Y
13176 asthma follow-up Y Y Y
14777 extrinsic asthma without status asthmaticus Y Y Y
15248 hay fever with asthma Y Y Y
1555 bronchial asthma Y Y Y
16070 asthma nos Y Y Y
16655 asthma monitoring admin. Y
16667 asthma control step 2 Y Y Y
16785 asthma control step 1 Y Y Y
18141 Asthma monitoring due Y Y Y
18223 step down change in asthma management plan Y Y Y
18224 asthma control step 3 Y Y Y
18323 intrinsic asthma with asthma attack Y Y Y
185 acute exacerbation of asthma Y Y Y
18692 exception reporting: asthma quality indicators Y
18763 referral to asthma clinic Y Y
19167 asthma monitoring by nurse Y Y Y
19519 asthma treatment compliance unsatisfactory Y Y Y
19520 asthma treatment compliance satisfactory Y Y Y
19539 Asthma monitoring check done Y Y Y
20422 asthma clinic administration Y Y
20860 asthma control step 5 Y Y Y
20886 asthma control step 4 Y Y Y
21232 allergic asthma nec Y Y Y
22752 occupational asthma Y Y Y
2290 allergic asthma Y Y Y
232 asthma attack Y Y Y
233 severe asthma attack Y Y Y
24479 emergency asthma admission since last appointment Y Y Y
24506 further asthma - drug prevent. Y Y Y
24884 asthma causes daytime symptoms 1 to 2 times per week Y Y Y
25181 asthma restricts exercise Y Y Y
25705 asthma monitor 3rd letter Y Y
25706 asthma monitor 2nd letter Y Y
25707 asthma monitor 1st letter Y Y
25791 asthma clinical management plan Y Y Y
25796 Mixed asthma Y Y Y
26496 health education - asthma Y Y
26501 asthma never causes daytime symptoms Y Y Y
26503 asthma causes daytime symptoms most days Y Y Y
26504 asthma never restricts exercise Y Y Y
26506 asthma severely restricts exercise Y Y Y
26861 asthma sometimes restricts exercise Y Y Y
27926 extrinsic asthma with status asthmaticus Y Y Y
29325 intrinsic asthma without status asthmaticus Y Y Y
29645 Asthma control step 0 Y Y Y
3018 mild asthma Y Y Y
30308 dna - did not attend asthma clinic Y Y
30382 asthma monitoring admin.nos Y Y
30458 asthma monitoring by doctor Y Y Y
30815 asthma causing night waking Y Y Y
31135 asthma monitor phone invite Y Y
31167 asthma night-time symptoms Y Y Y
31225 asthma causes daytime symptoms 1 to 2 times per month Y Y Y
3366 severe asthma Y Y Y
3458 occasional asthma Y Y Y
35927 asthma leaflet given Y Y
3665 late onset asthma Y Y Y
37943 asthma monitor verbal invite Y Y
38143 asthma never disturbs sleep Y Y Y
38144 asthma limits walking up hills or stairs Y Y Y
38145 asthma limits walking on the flat Y Y Y
38146 asthma disturbs sleep weekly Y Y Y
39478 wood asthma Y Y Y
39570 asthma causes night symptoms 1 to 2 times per month Y Y Y
40823 brittle asthma Y Y Y
40864 [X] Adverse reaction to theophylline - asthma Y Y
41017 aspirin induced asthma Y Y Y
41020 absent from work or school due to asthma Y Y Y
41554 asthma monitor offer default Y Y
42824 asthma daytime symptoms Y Y Y
43770 asthma society member Y
4442 asthma unspecified Y Y Y
45073 intrinsic asthma nos Y Y Y
45782 extrinsic asthma nos Y Y Y
4606 exercise induced asthma Y Y Y
46529 attends asthma monitoring Y Y Y
47337 asthma accident and emergency attendance since last visit Y Y Y
47684 detergent asthma Y Y Y
4836 Nocturnal cough / wheeze Y Y
48591 Adverse reaction to theophylline (asthma) Y Y
4892 status asthmaticus nos Y Y Y
5138 patient in asthma study Y Y
5267 intrinsic asthma Y Y Y
5515 seen in asthma clinic Y Y
5627 hay fever with asthma Y Y Y
5798 chronic asthmatic bronchitis Y Y
58196 intrinsic asthma with status asthmaticus Y Y Y
5867 exercise induced asthma Y Y Y
6707 extrinsic asthma with asthma attack Y Y Y
7058 emergency admission, asthma Y Y Y
7146 extrinsic (atopic) asthma Y Y Y
719 H/O: asthma Y Y Y
7191 asthma limiting activities Y Y Y
7229 Asthma prophylactic medication used Y Y Y
73522 work aggravated asthma Y Y Y
7378 asthma management plan given Y Y Y
7416 asthma disturbing sleep Y Y Y
7731 pollen asthma Y Y Y
78 asthma Y Y Y
81 asthma monitoring Y Y Y
8335 asthma attack nos Y Y Y
8355 asthma monitored Y Y Y
9018 number of asthma exacerbations in past year Y Y Y
92109 asthma outreach clinic Y Y
93353 sequoiosis (red-cedar asthma) Y
93736 royal college of physicians asthma assessment Y Y
9552 change in asthma management plan Y Y Y
9663 step up change in asthma management plan Y Y Y
98185 asthma control test Y Y Y
99793 patient has a written asthma personal action plan Y Y Y
Rows: 1
Code Description Baan EJ, Janssens HM, Kerckaert T, Bindels PJE, de Jongste JC, Sturkenboom M, et al
R96 Asthma Y
Rows: 199
Code Description SNOMED-CT Concept ID Breathe recommended Hussain, Z., Shah, S. A., Mukherjee, M., & Sheikh, A. (2020). (Acute exacerbation of asthma) Nissen, F.,et al. (2017). (Asthma Diagnosis) Krishna MT; et al (2019). (Asthma)
14B4. H/O: asthma 161527007 Y Y
173A. Exercise-induced asthma 31387002 Y Y
38B8. 966031000000101 Y Y
663N. Asthma disturbing sleep 170631002 Y Y
663N0 Asthma causing night waking 170632009 Y Y
663N1 Asthma disturbs sleep weekly 170633004 Y Y
663N2 Asthma disturbs sleep frequently 170634005 Y Y
663O. Asthma not disturbing sleep 170635006 Y Y
663O0 Asthma never disturbs sleep 170636007 Y Y
663P. Asthma limiting activities 170637003 Y Y
663Q. Asthma not limiting activities 170638008 Y Y
663U. Asthma management plan given 406162001 Y Y
663V. Asthma severity 170642006 Y Y
663V0 Oc