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Biomedical subjects

Ken Miller

Publications and source records attributed to Ken Miller.

6 recordsLinked to original sources
PubMed2003

Identification of proteins separated by one-dimensional sodium dodecyl sulfate/polyacrylamide gel electrophoresis with matrix-assisted laser desorption/ionization ion trap mass spectrometry; comparison with matrix-assisted laser desorption/ionization time-of-flight mass fingerprinting.

Digests from ten gel bands containing low abundance proteins were analyzed by both matrix-assisted laser desorption/ionization ion trap (MALDI-IT) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) methods. MALDI-TOF techniques were able to identify only one protein from all 10 gel bands, while MALDI-IT identified eight proteins from the same 10 bands. The ability to perform MS/MS experiments with a MALDI-IT instrument leads to protein identifications based on both peptide molecular mass and sequence information, and is much less prone to errors and uncertainties introduced by peptide fingerprinting methodologies in which protein identification is based on peptide molecular masses alone.

Amino Acid Sequence↗
PubMed2003

Acute inhalation injury.

The lungs can be an efficient means for the absorption of inhaled toxicants, resulting in airway and pulmonary injury or systemic toxicity. Although a few specific antidotes exist for inhaled toxicants, the syndrome of acute inhalation injury and clinical therapeutics are linked by common pathways of pathophysiology. Understanding the mechanisms of inhalation injury and occupation- or situation-specific toxicants can simplify the decision-making process for the out-of-hospital emergency responder and the emergency physician when confronted with a patient and the myriad of potential inhaled toxicants.

Acute Disease↗
PubMed2003

Assessment of the effects of holding time and temperature on Escherichia coli densities in surface water samples.

Escherichia coli is a routinely used microbiological indicator of water quality. To determine whether holding time and storage conditions had an effect on E. coli densities in surface water, studies were conducted in three phases, encompassing 24 sites across the United States and four commonly used monitoring methods. During all three phases of the study, E. coli samples were analyzed at time 0 and at 8, 24, 30, and 48 h after sample collection. During phase 1, when 4 degrees C samples were evaluated by Colilert or by placing a membrane onto mFC medium followed by transfer to nutrient agar containing 4-methylumbelliferyl-beta-D-glucuronide (mFC/NA-MUG), three of four sites showed no significant differences throughout the 48-h study. During phase 2, five of seven sites showed no significant difference between time 0 and 24 h by membrane filtration (mFC/NA-MUG). When evaluated by the Colilert method, five of seven sites showed no significant difference in E. coli density between time 0 and 48 h. During phase 3, 8 of 13 sites showed no significant differences in E. coli densities between time 0 and the 48-h holding time, regardless of method. Based on the results of these studies, it appears that if samples are held below 10 degrees C and are not allowed to freeze, most surface water E. coli samples analyzed by commonly used methods beyond 8 h after sample collection can generate E. coli data comparable to those generated within 8 h of sample collection. Notwithstanding this conclusion, E. coli samples collected from surface waters should always be analyzed as soon as possible.

Bacteriological Techniques↗
PubMed2003

Variability in the American Society of Anesthesiologists Physical Status Classification Scale.

The American Society of Anesthesiologists (ASA) Physical Status (PS) Classification is used worldwide by anesthesia providers as an assessment of the preoperative physical health of patients. This score also has been used in policy-making, performance evaluation, resource allocation, and reimbursement of anesthesia services and frequently is cited in clinical research. The purpose of this study was to assess interrater reliability and describe sources of variability among anesthesia providers in assigning ASA PS scores. A questionnaire with 10 hypothetical patients scenarios was given to 70 anesthesia providers who were asked to assign ASA PS scores in each scenario and to provide rationale for their decisions. The data were summarized and stratified according to nurse anesthetist or anesthesiologist and military or nonmilitary anesthesia providers. We hypothesized there would be no difference between any of the anesthesia provider groups in assignment of ASA PS scores. A lack of interrater reliability in assigning ASA PS scores was demonstrated. There were no significant differences between the anesthesia provider groups. There was no correlation between ASA PS scoring and years practicing or any of the other demographic variables. Several sources of variability were identified: smoking, pregnancy, nature of the surgery, potential difficult airway, and acute injury.

Anesthesiology↗