Über die Entstehung und die Bedeutung der Bogenförmigen ST-Strecke,Sowie der Sog. Zwischenzacke und Ihren Zusammenhang mit der S-Achse

Zusammenfassung Die bogenförmige ST-Strecke kommt häufig, in etwa 12%der Fälle, und die Zwischenzacke selten, in 5der Fälle eines nichtausgewählten Krankenmaterials, vor. Sowohl die Entstehungsursache der bogenförmigen ST-Strecke als der Kischschen Zwischenzacke liegt in der stärkeren oder schwächeren Rechts- oder Linksdeviation der S-Achse. Die Richtung und der Grad der S-Achsendeviation wird es also bestimmen, in wie vielen und welcher Einthovenschen Ableitung die bogenförmige ST-Strecke bzw. die Zwischenzacke notwendigerweise auftreten muß. Bei S-Achsenstellungen zwischen –90°und –30°wird die ST-Strecke in Ableitung I, bei S-Achsenstellungen zwischen –30°und +30°in der I. und II., zwischen +30°und +90°in der I., II., III., zwischen +90°und +150°in der II., III. und bei den Achsenstellungen zwischen +150°und –150°in der III. Einthovenschen Ableitung bogenförmig sein. Die klinische Bedeutung der bogenförmigen ST-Strecke ist gleich mit der klinischen Bedeutung der S-Achsendeviation. Bei dem Vergleich des Herzbefundes der Kranken mit der elektrischen S-Achsenstellung können folgende Feststellungen gemacht werden: Geringergradige Linksdeviation der S-Achse, d. h. bogenförmiges ST _I sowie geringergradige Rechtsdeviation der S-Achse, d. h. ST_III kann praktisch bei pathologischem Herzbefund nicht verwertet werden. Stärkere Links- bzw. Rechtsdeviation der S-Achse, d. h. ST_I und_II bzw. ST_II und_III können im allgemeinen ebenfalls nicht verwertet werden, es ist jedoch wahrscheinlich, daß sie schon einen Übergang zu den pathologischen Befunden bilden. Während jene starken S-Achsendeviationen, wo schon in allen drei Ableitungen bogenförmiges ST besteht, meistens für das Zeichen der myokardialen Läsion betrachtet werden sollen, und zwar in erster Linie dann, wenn die positive S-Zacke in oder neben dem absteigenden Schenkel der R-Zacke gut wahrnehmbar ist.     

Usefulness of the N-Terminal Fraction of Brain Natriuretic Peptide for Deciding When to Refer Patients With Sleep Apnea-Hypopnea Syndrome to the Cardiologist

Introduction and objectiveWhen sleep apnea-hypopnea syndrome (SAHS) and cardiovascular disease occur concurrently, prognosis is affected. Echocardiography can detect structural cardiac abnormalities but using this technique in all patients would place a heavy burden on resources. The objective of this study was to investigate whether the N-terminal fraction of brain natriuretic peptide (NT-proBNP) can be used as a marker for silent heart disease.Patients and methodsNT-proBNP concentration was measured in the 114 consecutive patients with SAHS who underwent echocardiography before starting treatment. Left and right ventricular systolic and diastolic function, as well as structural abnormalities, were studied. Correlations between NT-proBNP concentration and the abnormalities detected were investigated. A receiver operating characteristics (ROC) curve was plotted for NT-proBNP concentration and cardiac abnormalities.ResultsData for 98 patients were finally analyzed. NT-proBNP concentration was significantly correlated with ventricular septal thickness (r=0.63), posterior wall thickness (r=0.45), and left ventricular enddiastolic diameter (r=0.51) (P<.0001 for all correlations). The area under the ROC curve was significant (0.870; 95% confidence interval, 0.801-0.939; P<.0001). Assuming that specificity would be more useful for clinical practice, we calculated that NT-proBNP concentrations below 100 and 200 pg/mL could rule out structural abnormalities with a reliability of 90% and 100%, respectively.ConclusionsNT-proBNP concentration was strongly correlated with echocardiographic abnormalities and so could be a useful tool for identifying patients who should be referred to the cardiologist.     

Stage line diagram: An age‐conditional reference diagram for tracking development

This paper presents a method for calculating stage line diagrams, a novel type of reference diagram useful for tracking developmental processes over time. Potential fields of applications include: dentistry (tooth eruption), oncology (tumor grading, cancer staging), virology (HIV infection and disease staging), psychology (stages of cognitive development), human development (pubertal stages) and chronic diseases (stages of dementia). Transition probabilities between successive stages are modeled as smoothly varying functions of age. Age‐conditional references are calculated from the modeled probabilities by the mid‐P value. It is possible to eliminate the influence of age by calculating standard deviation scores (SDS). The method is applied to the empirical data to produce reference charts on secondary sexual maturation. The mean of the empirical SDS in the reference population is close to zero, whereas the variance depends on age. The stage line diagram provides quick insight into both status (in SDS) and tempo (in SDS/year) of development of an individual child. Other measures (e.g. height SDS, body mass index SDS) from the same child can be added to the chart. Diagrams for sexual maturation are available as a web application at http://vps.stefvanbuuren.nl/puberty . The stage line diagram expresses status and tempo of discrete changes on a continuous scale. Wider application of these measures scores opens up new analytic possibilities. Copyright © 2009 John Wiley & Sons, Ltd.     

Sperm chromatin integrity in young men with no experiences of infertility and men from idiopathic infertility couples

Damage to the genetic component of spermatozoa seems to play the main role in a majority of cases where current approaches fail to reveal the specific cause of male infertility. In this study, we compared semen quality in men assigned to two defined groups: men from couples with unexplained infertility – idiopathic infertility (A) and young men with no experiences of infertility (B). All samples were examined by standard ejaculate analysis and sperm chromatin structure assay (SCSA). Sperm chromatin damage was significantly higher in men from group A than in those from group B. Similar results were obtained by comparison of men from group A (all men were normozoospermic) with normozoospermic men from group B. According to these results, we can suppose that chromatin disorders may be the causal factor of subfertility or infertility in some of these men. No evidence for a strong association between chromatin disorders and standard parameters of ejaculates was found. We failed to confirm a relationship between smoking and sperm quality in men from any of the investigated groups. SCSA is a method that facilitates the identification of infertile men who otherwise show normal semen variables.