ABSTRACT
Control of postoperative pain is a major concern for patients undergoing total knee arthroplasty (TKA). The purpose of this study was to investigate pain control and opioid use, as well as length of stay, ambulation time, antiemetic use, and degree of mobilization for patients undergoing total knee arthroplasty, comparing those receiving femoral nerve block (FNB) to those receiving no femoral nerve block. Using retrospective patient record data, 133 subjects from an acute care community hospital in western Canada were split into three groups: no FNB (control group, n = 49), single-shot FNB (n = 33), and continuous FNB (n = 51). There was a statistically significant improvement in pain control on day of surgery for the FNB group compared with the no-FNB group, and reduction in opioid usage on days 0, 1, and 2 in the continuous FNB group compared with the no-FNB and single-shot group. Also noted was a statistically significant reduction in antiemetic use in the FNB compared with the no-FNB group on the day after surgery. This study is in accordance with earlier studies that support continuous FNB as an effective method for achieving postoperative pain control and reducing opioid use for patients undergoing TKA.
Subject(s)
Arthroplasty, Replacement, Knee/adverse effects , Femoral Nerve , Nerve Block/methods , Pain, Postoperative/drug therapy , Adult , Aged , Aged, 80 and over , Analgesia, Patient-Controlled/methods , Analgesics, Opioid/therapeutic use , Analysis of Variance , Canada , Female , Hospitals, Community , Humans , Length of Stay/statistics & numerical data , Male , Middle Aged , Motion Therapy, Continuous Passive , Pain Measurement , Pain, Postoperative/diagnosis , Pain, Postoperative/etiology , Range of Motion, Articular , Retrospective Studies , Treatment OutcomeABSTRACT
This paper presents a statistical study of a deterministic model for the transmission dynamics and control of severe acute respiratory syndrome (SARS). The effect of the model parameters on the dynamics of the disease is analyzed using sensitivity and uncertainty analyses. The response (or output) of interest is the control reproduction number, which is an epidemiological threshold governing the persistence or elimination of SARS in a given population. The compartmental model includes parameters associated with control measures such as quarantine and isolation of asymptomatic and symptomatic individuals. One feature of our analysis is the incorporation of time-dependent functions into the model to reflect the progressive refinement of these SARS control measures over time. Consequently, the model contains continuous time-varying inputs and outputs. In this setting, sensitivity and uncertainty analytical techniques are used in order to analyze the impact of the uncertainty in the parameter estimates on the results obtained and to determine which parameters have the largest impact on driving the disease dynamics.
