SummaryPoor cardiovascular-kidney-metabolic (CKM) health is a major determinant of premature morbidity and mortality. Consequently, developing comprehensive strategies to augment CKM health across the life course is a key clinical and public health priority. Our study aims to create a tool for examining the influence of sex and gender on the newly defined CKM syndrome. CKM conditions disproportionately impact underserved populations which can be identified by scores that include social determinants. Recognizing that biological sex and sociocultural gender both play vital roles in health outcomes, this study seeks to build a Gender Score that includes a spectrum of gender-related attributes found within the NAKO dataset. The Gender Score development process involves assessing multiple dimensions, such as social roles, lifestyle factors, psychological traits, and health behaviors. These factors are known to vary widely across genders and influence vulnerability to CKM syndrome, which includes obesity, cardiovascular disease (CVD), arterial hypertension (AHT), type 2 diabetes mellitus (T2DM), chronic kidney disease (CKD) and metabolic syndrome. Our goal is to analyze how gender identity and related social factors intersect with biological differences in impacting health risks. Cardiovascular-Kidney-Metabolic conditions are highly prevalent and are particularly influenced by gendered behaviors and biological predispositions. Men and women show distinct patterns in cardiorenovascular risk factors like smoking and stress responses, as well as metabolic markers influenced by hormonal variations and metabolic control in T2DM. Also, renal function differs between sexes and may well be influenced by gendered behaviour and gender-specific risk factors. Besides known sex differences in prevalence, diagnosis, therapy and treatment responsiveness, social gender may act as a mediator, amplifier or mitigator of detected sex differences. The NAKO provides a multitude of data sets and thus the opportunity to develop a statistically robust Gender Score that can be prototypically tested and then rolled out for other diseases. Once created, the Gender Score will first be piloted in CKM syndrome to assess its predictive value.

Keywords Cardiovascular Gender metabolic-syndrome renal sex

InstitutionsUniversitätsmedizin Greifswald, Medizininformatik, Universitätsmedizin Greifswald, Universität Greifswald, Nephrologie, Klinik für Innere Medizin A, Universitätsmedizin Greifswald, Universitätsmedizin Greifswald, Institut für Community Medicine, Abtlg. SHIP-KEF