Non-invasive hemoglobin estimation for preoperative anemia screening

BACKGROUND

Preoperative anemia is common and associated with adverse postoperative outcomes. Assessment of hemoglobin concentrations may facilitate optimization prior to surgery. However, phlebotomy-based hemoglobin measurement may contribute to patient discomfort and iatrogenic blood loss, which makes non-invasive hemoglobin estimation attractive in this setting.

STUDY DESIGN AND METHODS

This is a prospective study of adult patients presenting for preoperative evaluation before elective surgery at a tertiary care medical center. The Masimo Pronto Pulse CO-Oximeter was utilized to estimate blood hemoglobin concentrations (SpHb), which were then compared with hemoglobin concentrations obtained via complete blood count. Receiver operating curves were used to identify SpHb values maximizing specificity for anemia detection while meeting a minimum sensitivity of 80%.

RESULTS

A total of 122 patients were recruited with a median (interquartile range) age of 66 (58, 72) years. SpHb measurements were obtained in 112 patients (92%). SpHb generally overestimated hemoglobin with a mean (± 1.96 × standard deviation) difference of 0.8 (-2.2, 3.9) g/dL. Preoperative anemia, defined by hemoglobin <12.0 g/dL in accordance with institutional protocol, was present in 22 patients (20%). The optimal SpHb cut-point to identify anemia was 13.5 g/dL: sensitivity 86%, specificity 81%, negative predictive value 96%, and positive predictive value 53%. Utilizing this cut-point, 60% (73/122) of patients could have avoided phlebotomy-based hemoglobin assessment, while an anemia diagnosis would have been missed in <3% (3/122).

CONCLUSION

The use of SpHb devices for anemia screening in surgical patients is feasible with the potential to reliably rule-out anemia despite limited accuracy.

Measurement of the neutron lifetime using a magneto-gravitational trap and in situ detection

The precise value of the mean neutron lifetime, τ_n, plays an important role in nuclear and particle physics and cosmology. It is used to predict the ratio of protons to helium atoms in the primordial universe and to search for physics beyond the Standard Model of particle physics. We eliminated loss mechanisms present in previous trap experiments by levitating polarized ultracold neutrons above the surface of an asymmetric storage trap using a repulsive magnetic field gradient so that the stored neutrons do not interact with material trap walls. As a result of this approach and the use of an in situ neutron detector, the lifetime reported here [877.7 ± 0.7 (stat) +0.4/-0.2 (sys) seconds] does not require corrections larger than the quoted uncertainties.

Measurement of the neutron lifetime using a magneto-gravitational trap and in situ detection

The precise value of the mean neutron lifetime, τ_n, plays an important role in nuclear and particle physics and cosmology. It is used to predict the ratio of protons to helium atoms in the primordial universe and to search for physics beyond the Standard Model of particle physics. We eliminated loss mechanisms present in previous trap experiments by levitating polarized ultracold neutrons above the surface of an asymmetric storage trap using a repulsive magnetic field gradient so that the stored neutrons do not interact with material trap walls. As a result of this approach and the use of an in situ neutron detector, the lifetime reported here [877.7 ± 0.7 (stat) +0.4/-0.2 (sys) seconds] does not require corrections larger than the quoted uncertainties.

Precision of circadian wake and activity onset timing in the mouse

In each circadian cycle, a mouse begins its major activity period with discrete wake onset and activity onset events. The precision with which these events are timed in constant darkness was analyzed using the approach outlined by Pittendrigh and Daan (1976). Negative serial correlations of observed circadian period values (mean r1 = -0.471 for wake data, -0.409 for activity data) imply that deviations in period tend to be compensated by opposite deviations in the following cycle. As a result, precision of the circadian pacemaker must be better than that of observed rhythms. Standard deviation of the pacemaker period sigma(tau) was estimated at 5.1 min. Some individual data series had estimates s(tau) = 0, implying a nearly perfect pacemaker. Previous speculation was that wake onset would be under more direct pacemaker control than activity onset, and would therefore be timed more precisely (Pittendrigh and Daan 1976; Richardson et al. 1985). Contrary to this prediction, intervals between successive wake onsets exhibited significantly greater variance than intervals between successive activity onsets. Two possible interpretations of this finding were proposed.