A program to draw pedigrees using LINKAGE or LINKSYS data files.
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OBJECTIVE: To provide maternity unit with an expected caesarean section rate, according to its case mix (i.e. women's characteristics associated with caesarean section risk). DESIGN: Cohort study. SETTING: 149 maternity units in France. SAMPLE: 40,512 single births collected by the French Sentinelle Network, in January every year, from 1994 until 1998. METHODS: Univariate analysis was used to identify caesarean section risk factors, and multivariate analysis to adjust for the role of the maternity units' characteristics, after taking into account the women's characteristics. A two-level logistic model was used to show that the caesarean section rate varied according to maternity units' characteristics and to estimate therefore expected caesarean section rates (before and during labour), for each maternity unit, according to its case mix. MAIN OUTCOME: Caesarean section rates (before and during labour). RESULTS: Within the Sentinelle Network the caesarean section rate was 15.0% (7.6% were before labour). The joint effect of the size and juridical status on caesarean section risk was studied. The reference hospital was university maternity units with more than 2000 deliveries/year. Community or private maternity units with more than 2000 deliveries/year carried out fewer prophylactic caesarean sections than the reference hospital (ORadj = 0.7 and 0.6, respectively). Conversely, private maternity units with fewer than 2000 deliveries/year performed more prophylactic caesarean sections than the reference hospital (ORadj = 1.7). The two-level logistic model showed that a maternity unit effect still existed after taking into consideration both women's characteristics and those of the maternity unit, and estimated expected caesarean section rates. CONCLUSION: Knowledge of the expected caesarean section rate constitutes a personal reference to which the maternity hospital can compare its observed caesarean section rate, and is thus likely to have a significant effect on delivery practices.
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There may be drugs and a useful vaccine available to combat the hepatitis B virus, but one aspect of this pathogen remains a puzzle: the function of its HBx protein. As Ganem reveals in his Perspective, new findings (Bouchard et al.) show that this versatile viral protein is an activator of calcium-dependent Ras signaling, an observation that may explain many of its biological effects.
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Cholesterol, fatty acids, fat-soluble vitamins, and other lipids present in our diets are not only nutritionally important but serve as precursors for ligands that bind to receptors in the nucleus. To become biologically active, these lipids must first be absorbed by the intestine and transformed by metabolic enzymes before they are delivered to their sites of action in the body. Ultimately, the lipids must be eliminated to maintain a normal physiological state. The need to coordinate this entire lipid-based metabolic signaling cascade raises important questions regarding the mechanisms that govern these pathways. Specifically, what is the nature of communication between these bioactive lipids and their receptors, binding proteins, transporters, and metabolizing enzymes that links them physiologically and speaks to a higher level of metabolic control? Some general principles that govern the actions of this class of bioactive lipids and their nuclear receptors are considered here, and the scheme that emerges reveals a complex molecular script at work.
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