Clarithromycin--a precipitant for acute psychotic stress.
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Biomedical subjects
Publications and source records attributed to A Warner.
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Neonates were categorized by gestational scoring (G. Score) using physical and neurological signs, into two groups: TERM and preterm (PRE) using a score corresponding to approximately 38 weeks of gestation as the dividing point. Cord blood concentrations of alphafetoprotein (AFP), fetal hemoglobin (HGF), prealbumin (PALB), creatinine (CRE), and pseudocholinesterase (PC) were determined. The CRE, AFP, and HGF were divided by birthweight in grams (WT) to give three additional markers: CRE/WT, AFP/WT and HGF/WT. Strong Pearsonian correlations between CRE/WT, AFP/WT, and HGF/WT, and G. Scores in the PRE group were obtained. Histograms of AFP/WT and HGF/WT values gave non-Gaussian distributions and resulted in the clear separation of a group of extremely premature infants from the rest of the population. The plots also revealed substantial separation between the TERM and PRE groups. The CRE/WT was predominantly Gaussian, with separation of a group of neonates including the six very preterm infants. It is concluded that CRE/WT, AFP/WT, and HGF/WT have the greatest potential as maturity markers, while PC and PALB have little if any potential.
Understanding the pathophysiology of Pneumocystis carinii infection has been limited by the availability of methods for precisely measuring the interaction of P. carinii with host cells. Here we describe a new method which allows for the rapid assessment of P. carinii binding to, and internalization by, adherent alveolar macrophages. The method is based on the detection of fluorescein-labelled P. carinii by an automated fluorescence measurement system.
The maturity of organ functioning is a key to predicting neonatal prognosis, particularly in preterm babies, and laboratory tests have the potential for providing better information than external exams. This approach was examined utilizing the fetal protein, HGB F. While HGB F itself does not correlate well with current measures of maturity, HGB F/WT was found to correlate very strongly, in a linear relationship with the gestational score (G. Score) obtained from a physical and neurological assessment of the neonate. This relationship was not affected by sex or race in our population. A cut-off value for HGB F/WT of 0.025 was chosen as the difference between mature and immature neonates and the value of the test using that cut-off was determined. Infants were classified as preterm or term based upon G. Score and gestational age (from the mother's last menstrual period) and were further classified depending upon whether the HGB F/WT value indicated a mature or premature infant. Utilizing predictive theory, the test was found to have a predictive value of 0.914 with an overall test efficiency of 0.967. These results indicate that this measurement has potential as a maturity marker in neonates.
The prognostic potentials of physiological ([Acute Physiologic and Chronic Health Evaluation] APACHE II score) and biochemical (Interleukin 6 [IL-6], Interleukin 6 soluble receptor [IL-6sR], and Interleukin 2 receptor [IL-2R], nitrates) measures were evaluated in sepsis. The APACHE II scores were calculated, and concentrations of the biochemical markers were measured, based upon information and samples obtained from 68 septic patients at time of diagnosis. Outcome (survival/non-survival) was determined at the end of the hospital stay associated with the septic episode. Statistically significant differences between survivors (S) and non-survivors (non-S) were found for APACHE II (p < 0.0001), IL-6 (p < 0.005), IL-6sR (p < 0.05), IL-2R (p < 0.02). No significant differences were found for nitrates. None of the markers could serve individually as an effective prognostic indicator. However, those markers demonstrating a significant difference between survivors and non-survivors may be able to contribute to a multi-parameter prognostic model.
This study reports the predictive value, in septic patients, of septic shock at presentation (SS factor) alone and in combination with multiple markers, using survival of the sepsis episode as the outcome measure. The SS factor correctly predicted the outcome in 53/68 (78%) of patients in this study. The Acute Physiology and Chronic Health Evaluation II Score (APACHE II or APII) and interleukin-6 (IL-6) and IL-6 soluble receptor (IL-6sR) concentrations were evaluated in combination with the SS factor in the same 68 patient population which was randomly divided into design (# = 50) and test groups (# = 18). Two iterations of an algorithm were evaluated using randomized patient groups corresponding to those producing the best (Group A) and worst (Group B) performance using a neural network. The four-input algorithm (APII, IL-6, IL-6sR, SS factor) correctly classified 16/18 (89%, Group A) and 14/18 (78%, Group B) of patients in the test subset. The corresponding four-input neural network model (10 iterations) correctly classified 61 to 89% of the 18 patients in the 10 test subsets.