OBJECTIVES: To analyze the impact of @entity5 on intraoperative and postprocedural complications (IPCs) in Germany. METHODS: @entity1 with first diagnosis of IPCs between 2010 and 2015 were identified in 982 general practitioners in the IMS Disease Analyzer database. Controls were included after individual matching (1:1) to IPC cases by age, gender, type of health insurance (private or statutory) and the physician. Demographic data included: age, sex and health insurance type (private or statutory). Clinical data included: @entity5 , @entity6 , @entity301 including @entity583 , @entity64 including TIA, @entity712 , chronic @entity1576 , @entity174 and @entity308 . A multivariate logistic model was used to calculate the risk of IPC on the basis of @entity1 characteristics. RESULTS: A total of 5817 IPC @entity1 and 5817 controls were included in this study. The mean age was 63.9  years, the proportion of @entity1 with private health insurance coverage was equal to 3.0  %, and the proportion of @entity1 was equal to 36.0  % in both groups; 21.5  % of IPC @entity1 and 5.8  % of controls had @entity5 (p value <0.0001). Moreover, @entity6 , @entity301 , @entity64 , @entity712 , @entity1576 , @entity174 and @entity308 were also significantly more common in IPC @entity1 than in controls. @entity5 had a negative impact on the risk of IPC (OR 4.27, 95  % CI 3.76-4.85 and p value <0.0001). @entity301 , @entity308 , @entity174 and chronic @entity1576 were also significantly associated with an increased risk of IPC. CONCLUSION: The present study indicates that @entity5 increases the risk of IPCs and may reduce the clinical benefits of surgery.

XXXX is associated with intraoperative and postprocedural complications and disorders.

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient', 'people', 'men'] @entity64 :: ('MESH:D020521', 'Disease') :: ['stroke'] @entity712 :: ('MESH:D006333', 'Disease') :: ['heart failure'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity301 :: ('MESH:D003327', 'Disease') :: ['Coronary heart diseases', 'coronary heart disease'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancer', 'Cancer'] @entity174 :: ('MESH:D050723', 'Disease') :: ['fractures'] @entity1576 :: ('MESH:D012131', 'Disease') :: ['chronic respiratory disease', 'respiratory diseases'] @entity583 :: ('MESH:D009203', 'Disease') :: ['myocardial infarction']
@entity5 :: (MESH:D009369,Disease) :: ['Cancer']
