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Validation and incidence of community-acquired pneumonia in patients with type 2 diabetes in the BIFAP database

  • L. C. SAIZ (a1), J. GARJÓN (a1), J. GORRICHO (a2), J. ERVITI (a1), M. J. GIL-GARCÍA (a3) and E. MARTÍN-MERINO (a3)...

Summary

Oral anti-diabetic drugs (OADs) have been associated with community-acquired pneumonia (CAP). We aimed to validate the recording of CAP in the Spanish Database for Pharmacoepidemiological Research in Primary Care (BIFAP) for the future evaluation of OAD–CAP association. The incidence rate (IR/1000 person-years) of CAP in type 2 diabetes mellitus (T2DM) was also determined. In total, 2966 pneumonia records (2040 listed as diagnosis and 926 as identified from comments added by physicians) were identified from 76 009 patients with T2DM after the first OAD in 2002–2013. Data around the CAP date were reviewed: 1803 (60·9%) were classified as ‘probable CAP’ (confirmed by X-ray/laboratory, referral letters or CAP lung site); 589 (19·8%) as ‘no-case’ (486 had other illness, 78 previous CAP, 25 cancer); and 574 (19·4%) as ‘possible CAP’ (441 without confirmatory information, 133 with uncertain diagnosis or uncertain diagnosis date). In total, 74·2% and 31·4% of pneumonia records in the diagnosis and comments, respectively, were ‘probable cases’ (IR: 6·04), which increased to 90·5% and 42·9%, respectively, when the 441 ‘possible cases’ without confirmatory information were included (IR: 7·52). In summary, diagnosis had a high positive predictive value, and adding cases automatically detected from comments decreased that value significantly.

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Corresponding author

*Author for correspondence: E. Martín-Merino, BIFAP, Spanish Agency of Medicines and Medical Devices (AEMPS), C/Campezo no 1, Edificio 8, Madrid 28022, Spain. (Email: emartin_fcsai@bifap.aemps.es)

References

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1. Lim, WS, et al. BTS guidelines for the management of community acquired pneumonia in adults: update 2009. Thorax 2009; 64: iii1iii55. doi: 10.1136/thx.2009.121434.
2. Chacón-García, A, Ruigómez, A, García-Rodríguez, LA. Incidence rate of community acquired pneumonia in a population cohort registered in BIFAP. Atención Primaria 2010; 42: 543551.
3. Torres, A, et al. Which individuals are at increased risk of pneumococcal disease and why? Impact of COPD, asthma, smoking, diabetes, and/or chronic heart disease on community-acquired pneumonia and invasive pneumococcal disease. Thorax 2015; 70: 984989.
4. Willemen, MJ, et al. Use of dipeptidyl peptidase-4 inhibitors and the reporting of infections: a disproportionality analysis in the World Health Organization VigiBase. Diabetes Care 2011; 34: 369374.
5. Sing, S, Loke, YK, Furberg, CD. Long-term use of thiazolidinediones and the associated risk of pneumonia or lower respiratory tract infection: a systematic review and meta-analysis. Thorax 2011; 66: 383388.
6. Salvador, A, et al. The BIFAP project: database for pharmaco-epidemiological research in primary care. Atención Primaria 2002; 30: 655661.
7. García Rodríguez, LA, Ruigómez, A. Case validation in research using large databases. British Journal of General Practice 2010; 60: 160161.
8. Gorricho, J, et al. Use of oral antidiabetic agents and risk of community-acquired pneumonia: a nested case-control study. British Journal of Clinical Pharmacology 2017; 83: 20342044. doi: 10.1111/bcp.13288.
9. BIFAP. Base de Datos para la Investigación Farmacoepidemiológica en Atención Primaria (http://bifap.aemps.es/). Accessed 01-04-2016.
10. Lamberts, H, Wood, M. International Classification of Primary Care (ICPC). Oxford: Oxford University Press, 1987.
11. Ruigómez, A, et al. Ascertainment of acute liver injury in two European primary care databases. European Journal of Clinical Pharmacology 2014; 70: 12271235.
12. De Abajo, FJ, et al. Upper gastrointestinal bleeding associated with NSAIDs, other drugs and interactions: a nested case-control study in a new general practice database. European Journal of Clinical Pharmacology 2013; 69: 691701.
13. Drahos, J, et al. Accuracy of ICD-9CM codes in identifying infections of pneumonia and herpes simplex virus in administrative data. Annals of Epidemiology 2013; 23: 291293.
14. Aronsky, D, et al. Accuracy of administrative data for identifying patients with pneumonia. American Journal of Medical Quality 2005; 20: 319328.
15. Yu, O, et al. Classification algorithms to improve the accuracy of identifying patients hospitalized with community-acquired pneumonia using administrative data. Epidemiology and Infection 2011; 139: 12961306.
16. Meropol, SB, Metlay, JP. Accuracy of pneumonia hospital admissions in a primary care electronic medical record database. Pharmacoepidemiology and Drug Safety 2012; 21: 659665.
17. Skull, SA, et al. ICD-10 codes are a valid tool for identification of pneumonia in hospitalized patients aged > or = 65 years. Epidemiology and Infection 2008; 136: 232240.
18. Van de Garde, EM, et al. International classification of diseases codes showed modest sensitivity for detecting community-acquired pneumonia. Journal of Clinical Epidemiology 2007; 60: 834838.
19. Gutiérrez, F, et al. Epidemiology of community-acquired pneumonia in adult patients at the Dawn of the 21st century: a prospective study on the Mediterranean coast of Spain. Clinical Microbiology and Infection 2005; 11: 788800.
20. Vila-Corcoles, A, et al. Epidemiology of community-acquired pneumonia in older adults: a population-based study. Respiratory Medicine 2009; 103: 309316.
21. Farr, BM, et al. Risk factors for community-acquired pneumonia diagnosed by general practitioners in the community. Respiratory Medicine 2000; 94: 422427.
22. Farr, BM, et al. Risk factors for community-acquired pneumonia diagnosed upon hospital admission. Respiratory Medicine 2000; 94: 954963.
23. Gutiérrez, F, et al. The influence of age and gender on the population-based incidence of community-acquired pneumonia caused by different microbial pathogens. Journal of Infection 2006; 53: 166174.
24. Almirall, J, et al. New evidence of risk factors for community-acquired pneumonia: a population-based study. European Respiratory Journal 2008; 31: 12741284.
25. Williams, T, et al. Recent advances in the utility and use of the general practice research database as an example of a UK primary care data resource. Therapeutic Advances in Drug Safety 2012; 3: 8999.
26. Lewis, JD, et al. Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research. Pharmacoepidemiology and Drug Safety 2007; 16: 393401.

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