Achievement of partial combined control of major diabetes targets in primary care correlates with development of chronic complications in T2DM patients - A real life data

Micha Rapoport*, Nissim Harel, Ygal Shasha, Refael Barkan, Eliezer Kitaee, Andreas Buchs, Shimon Izhakian, Einat Aviel-Gadot

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Aims Strict long term glucose, cholesterol and blood pressure control is advocated in type 2 Diabetes Mellitus (T2DM) patients. It is not known whether combined partial goals' achievement affects development of chronic complications. Methods We evaluated the relative ability or failure of 5369 T2DM ambulatory patients to achieve and maintain control of blood pressure, glycaemia and cholesterol for 3 consecutive years. Correlation between the extent of combined goal achievement, and development of chronic complications was determined. Results Only 9 patients (0.17%) fully achieved and none completely failed to achieve all strict goals. Therefore, patients were characterized as either partial achievers (PA) (n = 699) or partial non achievers (PNA) (n = 322). As compared to PA patients, PNA patients were significantly younger, single, and demonstrated a higher female and Arab ethnicity dominance. PNA patients had higher BMI, received more insulin treatment and consumed more hospital services. The incidence of microvascular complications during 3 years was significantly increased in PNA patients. Conclusions A negligible number of primary care patients completely and persistently achieve or fail to achieve combined control of major diabetes targets. Partial achievement of these targets correlates with specific patients' characteristics and incidence of chronic micro-vascular complications.

Original languageEnglish
Pages (from-to)412-417
Number of pages6
JournalPrimary Care Diabetes
Volume9
Issue number6
DOIs
StatePublished - 1 Dec 2015

Keywords

  • Achievement
  • Diabetes goals
  • Primary care
  • Real life data

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