Dante and cardiology: Physiopathology and clinical features of cardiovascular diseases in the Middle Ages.

Ancient non-medical texts can unexpectedly provide useful information on the development of knowledge about the heart and its diseases throughout history. The 750th anniversary of the birth of the Italian poet Dante Alighieri (1265-1321) provides a timely opportunity to analyze medical references in his works, in particular, focusing on literary descriptions that may be attributed to cardiovascular disorders. Dante's high level of medical knowledge, probably derived from his academic studies, is testified by his affiliation to the Florentine Guild of physicians and pharmacists. In all his works, the poet shows a deep interest for the heart. However, his anatomical and physiological knowledge of the circulatory system appears to be poor, probably due to it being based on theories and concepts brought forth by Aristotle and Galen, which were taught in medieval universities. Despite this, accurate descriptions of some symptoms (emotional syncope, orthopnea, dyspnea on exertion) and signs (ascites, paleness), which may be attributed to cardiovascular disorders, can be easily found in Dante's works, particularly in his masterpiece, the Divine Comedy. The literary and historical analysis of cardiovascular signs and symptoms allows us to assume that clinical features due to alterations of heart function were probably known by medieval physicians, but their etiology and pathophysiological mechanisms were not completely understood in that period. Historians of cardiology and clinicians should consider analysis of non-medical texts (including poetry) as an opportunity to better investigate the evolution of their discipline throughout the ages.

Prediction of QTc length as function of BMI: a clinical tool to establish arrhythmias risk in obesity.

AIMS: Among the electrocardiographic alterations used for stratifying the cardiovascular risk of life threatening arrhythmias (LFA) and sudden death (SD) there is the increment of the corrected QT(QTc). This increment is usually observable in obese patients (OP). Therefore, a study has been planned to investigate the possibility to predict QTc values in OP simply by detecting the best fitting regression method that represents the relationship between QTc and Body Mass Index (BMI). MATERIALS AND METHODS: The study has been carried on 144 individuals classified as a function of their BMI in normoponderal subjects (NPS, No. 24; F/M=15/9; BMI=21.8± 1.7 kg/m(2)), Class I OP (No. 24; F/M=17/7; BMI=32.5± 1.1 kg/m(2)); Class II OP (No. 24; F/M=17/7; BMI=37.7± 1.5 kg/m(2)). Class IIIa (No. 24, F/M=15/9; BMI=44.4± 27 kg/m(2)), Class IIIb (No. 24; F/M=14/10; BMI 54.3± 2.7 kg/m(2)); Class IIIc (No. 24; F/M=14/10; BMI=63.3± 4.5 kg/m(2)). Both linear and non-linear fitting modes have been tested. RESULTS: While the BMI progressively increases in classified OP, the QTc shows an intergroup difference that is not only not constant but also declining in Class IIIc obesity. The optimal regressive model was found to be the following fourth order degree polynomial: QTc=317,15+(7,47xBMI)+(-0,28*BMI(2))+(0,005xBMI(3))+ (-0,00003xBMI(4)). CONCLUSION: By entering the BMI of a given OP into the above-cited formula, the QTc can be easily predicted and compared to that of NPS. Importantly, to have the possibility for a pre-electrocardiographic estimation of QTc allows all the medical and paramedical personnel, involved in the multidisciplinary treatment of obesity, to immediately establish the cardiovascular risk in the OP under observation.