• No results found

6.3 M ETHODOLOGICAL CONSIDERATIONS

6.3.2 Limitations

6.2.5 CABG and disturbances of glucose metabolism

Several studies have investigated the importance of unknown disturbances of glucose metabolism before CABG and the short and/or long-term prognosis. Thus far the results of these studies are inconclusive. One study including 244 patients, showed that the risk of early mortality after CABG in patients with known diabetes was similar to the mortality in patients with prediabetes and newly discovered diabetes (154). Another study indicated a strong association between the severity of disturbed glucose metabolism and cardiovascular events after CABG with the follow-up of only 6 months to 3 years (155). Holzmann et al demonstrated that patients with T2DM had a similar risk and that patients with T1DM had a two-fold risk of mortality (156).

Study III, which included 497 patients and a follow-up time of 10 years, showed that patients with prediabetes or newly discovered diabetes prior to CABG had similar long-term mortality compared to patients with normal glucose tolerance (85). These results are in line with the result from Holzman et al (156).

So far, research has shown that patients with ACS and diabetes have higher mortality and a poorer outcome compared to patients with normal glucose tolerance (3). However, this is contradicted by the result of study III which displayed no significant difference in mortality after CABG in patients with newly discovered hyperglycaemia vs normal glucose levels. This may be explained by the fact that CABG involves open-chest surgery, which is a major life event with more pain, discomfort, a longer rehabilitation period in comparison to PCI. By undergoing cardiac surgery patients might become more motivated to follow up treatment and compliance with recommendations when it comes to medication and lifestyle changes.

Furthermore, the diagnosis of diabetes and prediabetes before surgery may have had an impact on behaviour.

6.3 METHODOLOGICAL CONSIDERATIONS

In studies II and III, we only have information on laboratory values and medical treatment at the time of the index AMI. The effects of lifestyle modification and secondary preventive medical treatment that can affect the outcome cannot be analysed.

One limitation in study III was that HbA1c was not used routinely as a diagnostic tool at the beginning of the inclusion period. Most likely a selection bias was introduced, as there was a tendency to have an additional HbA1c analysed in those with a pathologic OGTT. Study III also had missing data for several variables. Therefore, only adjustments for age and sex were done and residual confounding may be present.

In study IV the results are based on admission glucose values and not a diabetes diagnosis. No determination of persistent hyperglycaemia could be made. For the same reason, the effectiveness of early or long-term anti-diabetes treatment or secondary prevention could not be assessed.

As in every observational study, a possibility of residual confounding by unmeasured factors cannot be eliminated.

7 CONCLUSION

In conclusion, HbA1c seems to be a better predictor than OGTT in identifying patients at risk for increased mortality and cardiovascular events after myocardial infarction. However, HbA1c does not identify as many patients with disturbances of glucose metabolism as OGTT. The importance of identifying more patients with hyperglycaemia versus identifying patients with an increased risk of mortality and cardiovascular events after myocardial infarction needs to be investigated further.

A majority of patients with cardiovascular events have undiagnosed disturbances of glucose tolerance and the long-term outcome in those patients is poorer compared to patients with normal glucose tolerance. Patients undergoing CABG with newly discovered dysglycaemia do not have a poorer outcome compared to patients with normal glucose tolerance. Patients with prediabetes and ACS have a higher rate of heart failure and reinfarction compared to patients with newly discovered diabetes and patients with normal glucose tolerance. It is important to highlight these results in order to understand the importance of the optimal strategy for multifactorial treatment in primary and secondary intervention and to find the best plan of action in helping these patients.

An elevated, random blood glucose test taken in the ED can identify patients with a higher risk of long-term mortality and cardiovascular events. This indicates that random blood glucose tests taken in the ED can help identify patients at risk and a strategy to improve their outcome could be considered.

8 ACKNOWLEDGEMENTS

I would like to express my greatest and most sincere gratitude to all the people that made this thesis possible. I also would like to express my gratitude to the patients and those who participated in these studies. In particular, I would like to thank:

Jeanette Kuhl, my principal tutor for introducing me to the field of disturbances of glucose metabolism and the world beyond clinical work. I still remember the day when I become your PhD student and it is a journey that has exceeded my wildest expectations. You are a role model in your work, with your attention to detail, enthusiasm, leadership and companionship. I am proud not only to have you as my principal tutor but also as a friend and I hope to follow in your footsteps.

Professor Martin Holzmann, my co-tutor, for his never-ending support and enthusiasm.

Through his eyes, everything was possible and to be a part of the whirlwind that was Professor Holzmann where everything happened with the utmost efficiency. Our collaboration was far too short, and you are deeply missed.

Professor Thomas Nyström, my co-tutor, for never-ending encouragement and support. For sharing his great knowledge in diabetology and research. For constructive criticism and helpful comments on manuscripts and attention to detail. I am grateful for your great collaboration and guidance and that you always had time for questions, no matter how big or small, which helped me to refine my own research skills.

Magnus Lundbäck, my co-tutor, for his enthusiasm, his great encouragement and support, for his constructive help and comments on the manuscript and valuable guidance.

Professor Ulrik Sartipy, co-author, for sharing his expertise in research, constructive criticism on manuscripts and for always being helpful.

Stelios Karayiannides, co-author, for being with me on this PhD journey together with your own thesis. For your patience and for always taking the time to explain and be helpful. For your great knowledge of diabetes, statistics and STATA.

Pia Lundman, co-author, for sharing your experience in research and for giving valuable recommendations.

My other co-authors, Anna Norhammar, Torbjörn Iverts, Majid Kalani and Gun Jörneskog for a pleasant collaboration and valuable comments on manuscripts.

My parents, Yvonne Förberg and Lars Djupsjö, for making me the person I am today.

Lance Sanderson for being such a great person and companion through the years and for supporting me in my research.

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