Study: Is the sperm quality influenced by comorbidities?

Eisenberg ML, Li S, Behr B, Pera RR, Cullen Mr. Connection between seed production and medical comorbidity. fertile sterile. 2015; 103 (1): 66-71.

cross -sectional study in a fertility clinic

A study cohort was identified with data from 1994 to 2011 in the Stanford Reproductive Endocrinology and Infertility Samendatbank. The cohort comprised 9,387 men with an average age of 38 years at the time of evaluation.

The initial samples of the participants were analyzed on sperm concentration, mobility, morphology (according to the strict crug criteria) and seed volume. The cohort was linked to administrative data to obtain information about the patient's comorbidities using the codes of the international classification of disease-9 (ICD-9). The patients were then assessed based on the Charlson comorbidity index (CCI). Most men were healthy with a CCI value of 0; However, at least 44 % of the participants had 1 medical diagnosis in connection with infertility and 30 % had 2 or more.

When the cohort was stratified based on the CCI score, differences in all measured seed parameters were identified. Men with higher CCI scores had lower seed volume, concentration, motility, overall permits and morphology scores. For example, the average sperm concentration in men with a CCI of 0 65 million per ml, compared to 46 million per ml in a man with a CCI of 3. thirteen percent of men with a CCI of 0, had a sperm concentration of 1 had a sperm concentration of <15 million per ml. Similar trends were observed in the mobility of the sperm. The abnormal morphology was the only parameter that did not change based on the CCI score.

Other analyzes could not demonstrate any disease -specific associations; However, men with diseases of the endocrine, urogenital and dermatological system showed statistically significantly higher rates of sperm anomalies. In addition, men with hypertensive disease, peripheral vascular disease, cerebrovascular disease and non-angry heart disease showed a higher rate of sperm anomalies.

This article supports a naturopathic, holistic approach in the event of infertility. While male infertility can exist due to a discrete, specific problem such as testicular failure, the seed quality is influenced in most cases by the environment and lifestyle. This multifactorial etiology reflects the most chronic diseases in which the nutrient status, environmental pollution and many other factors lead to the development of a diagnostic disease.

endocrine and urogenital problems such as prostatitis or infections can affect fertility directly by directly affecting the seed or sperm production. Fertility -related diagnoses such as the development of a varicocele were included in the analysis, so this data should have a strong correlation. Without further insights into the exact diagnoses in the cohort, it is difficult to draw conclusions, but with the connection between skin and microbiom (e.g. in neurodermatitis 1 ), it is possible that the same underlying biochemistry that leads to skin diseases also predisposes. The most interesting is the connection between cardiovascular diseases and male fertility parameters. Data about the quality of male (and now female) gamets indicate some important fundamental problems that are important. These include mitochondrial health, oxidative stress and carbonyl stress, the same main drivers of chronic inflammation that lead to the development of cardiovascular diseases. ^{2.3 It is not surprising that many nutrients, including Carnitine, Coenzyme Q and antioxidants, have been on their effects on cardiovascular health Male fertility examined.}

This article on comorbidities and infertility in men underlines how important it is to address the whole person in treating men with infertility. A practitioner can not only help a patient to build up his family, but also help this father to live with his family longer!

The sample size of this study was sufficient to determine associations between comorbidities that were classified according to body systems; However, a more interesting analysis would be to sort the ICD-9 codes based on known etiologies to see whether stronger associations appear: for example, diagnoses in connection with inflammation, oxidative stress, histamine load or other immune functions.