Journal of clinical monitoring and computing
-
Heart rate variability (HRV) is a measure of the autonomic nervous system function and possibly related to postoperative outcome. Despite several HRV studies in different surgical settings, optimal indices and timepoints for measuring have not been adequately determined. Consequently, there is a need for detailed descriptive procedure-specific studies on the time-course of perioperative HRV within a modern fast-track surgical setting. ⋯ Median hospital stay was 1 day. We provide the first detailed description of perioperative time-course of HRV and orthostatic symptoms in fast-track THA, showing reduced HRV after surgery for at least a week, and that HRV changes are sensitive to time of day and timing before and after surgery. These results are helpful in designing future HRV studies in perioperative risk assessment and outcome.
-
J Clin Monit Comput · Apr 2024
Optic nerve sheath diameter measurement for prediction of postdural puncture headache.
Intracranial hypotension due to cerebrospinal fluid leak is mainly the causal factor for the pathophysiology of postdural puncture headache (PDPH). In this study, we aimed to evaluate the effectiveness of optic nerve sheath diameter (ONSD) measurement in predicting the development of PDPH in patients undergoing spinal anesthesia. ⋯ The difference between the ONSD values measured before and after spinal anesthesia may be an important parameter for predicting the risk of PDPH development.
-
J Clin Monit Comput · Apr 2024
LetterReevaluating optic nerve sheath diameter in predicting postdural puncture headache: exploring clinical implications beyond threshold values.
The study by Boyaci et al. assessed using optic nerve sheath diameter (ONSD) ultrasound to predict postdural puncture headache (PDPH) in spinal anesthesia patients. In their single-center study of 83 patients, PDPH incidence was high at 22.9%, partly due to the use of a traumatic needle. ⋯ ONSD's relationship with intracranial pressure (ICP) is acknowledged, but a definitive ONSD cutoff for PDPH is lacking. Other studies suggest ONSD changes may be linked to treatment outcomes in related conditions, emphasizing the importance of investigating risks of epidural blood patch failure.
-
J Clin Monit Comput · Apr 2024
Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning.
This study applied machine learning for the early prediction of 30-day mortality at sepsis diagnosis time in critically ill patients. Retrospective study using data collected from the Medical Information Mart for Intensive Care IV database. The data of the patient cohort was divided on the basis of the year of hospitalization, into training (2008-2013), validation (2014-2016), and testing (2017-2019) datasets. 24,377 patients with the sepsis diagnosis time < 24 h after intensive care unit (ICU) admission were included. ⋯ The calibration plot for the model revealed a slope of 1.03 (95% CI 0.94-1.12) and intercept of 0.14 (95% CI 0.04-0.25). The SHAP revealed the top three most significant features, namely age, increased red blood cell distribution width, and respiratory rate. Our study demonstrated the feasibility of using the interpretable machine learning model to predict mortality at sepsis diagnosis time.
-
Dynamic preload parameters are used to guide perioperative fluid management. However, reported cut-off values vary and the presence of a gray zone complicates clinical decision making. Measurement error, intrinsic to the calculation of pulse pressure variation (PPV) has not been studied but could contribute to this level of uncertainty. ⋯ The predicted range in reference PPV-value changes for a measured absolute change of 1% was [- 1.3%, 3.3%] and [- 1.9%, 4%] for these two methods. We showed that all methods that calculate PPV come with varying degrees of uncertainty. Accounting for bias and precision may have important implications for the interpretation of measured PPV-values or PPV-changes.