Evidence derived from small trials suggests that preoperative physical therapy reduces postoperative pulmonary complications ( atelectasis and pneumonia ) and length of hospital stay in patients undergoing elective cardiac surgery .
There is a lack of evidence that preoperative physical therapy reduces postoperative pneumothorax , prolonged mechanical ventilation or all-cause deaths
BACKGROUND After cardiac surgery , physical therapy is a routine procedure delivered with the aim of preventing postoperative pulmonary complications .
OBJECTIVES To determine if preoperative physical therapy with an exercise component can prevent postoperative pulmonary complications in cardiac surgery patients , and to evaluate which type of patient benefits and which type of physical therapy is most effective .
Effect of a Preoperative Intervention on Preoperative and Postoperative Outcomes in Low-Risk Patients Awaiting Elective Coronary Artery Bypass Graft Surgery
In Ontario , Canada , the discrepancy between the high dem and for  coronary artery bypass graft surgery ( CABG )  and the low immediate supply results in waiting lists . In 1990 , a consensus panel of cardiologists and surgeons developed criteria to ensure that high-risk patients were given priority for this procedure ( 1 ) . Each patient receives an acuity score that corresponds to a recommended maximum delay . Aggregated acuity scores of 4 , 5 , 6 , and 7 indicate elective status and represent a waiting time ranging from greater than 14 days to a maximum of 6 months . The mortality rate for patients awaiting CABG  has been shown to be remarkably stableapproximately 0.5 % to 0.6 % per year over the past 10 years ( 2 ) . Despite this , however , evidence shows that patients ' functional and psychological status can deteriorate during the wait for surgery ( 3 - 5 ) . Through its effects on the autonomic nervous system , emotional stress also influences catecholamines , myocardial oxygen dem and , and platelet aggregation ; this may affect morbidity during the waiting period ( 6 - 8 ) . Such factors as preoperative anxiety and little social support have adverse psychological effects during extended preoperative waiting periods and , in addition , have been found to predict poor physical recovery from heart surgery ( 9 ) . Therefore , psychological factors and physical deconditioning , both of which occur during the waiting period ( 10 - 12 ) , may negatively affect patients ' in-hospital course , including length of stay . Because waiting for health services will probably continue to be a reality in publicly funded health care systems that value universal access , careful study of simple , affordable methods to improve patient outcomes during the waiting period is warranted . We examined the effect of a minimum 8-week , multidimensional , preoperative intervention on the presurgery and postsurgery outcomes of patients awaiting elective CABG . We hypothesized that a combination of exercise training , education , and social support would affect patients ' physical and psychological readiness for surgery and thereby reduce postoperative length of hospital stay . We further hypothesized that the effectiveness of the preoperative intervention would be sustained into the first 6 months of the postoperative period . Methods Patients Patients were recruited from the waiting lists of all seven cardiovascular surgeons operating in the Hamilton Health Sciences Corporation surgical center , Hamilton , Ontario , Canada . Each year , approximately 1300 open-heart surgeries are performed in this center . Roughly 60 % of patients awaiting CABG have elective status and are placed on the waiting list . During the time of our study , elective waiting times ranged from 3 weeks to greater than 20 weeks . Approximately 40 % of elective patients are usually awaiting first-time  CABG ( nonvalve replacement ) . Only patients awaiting a first CABG whose surgery date s were at least 10 weeks away were approached to participate in our study . Patients were excluded if they were having combined CABG and valve surgery , if their ejection fractions were less than 0.40 , if they could not attend the exercise classes because of geographic inaccessibility , or if they were unable to participate because of physical limitations . After these inclusion and exclusion criteria were applied , our pool of potential participants was approximately 250 patients per year . We intended to select low-risk patients because it is not common to test an exercise intervention in patients awaiting CABG . Design We design ed a two-group r and omized , controlled trial . Eligible patients were r and omly assigned to 8 weeks of multidimensional preoperative intervention or to usual care . Those assigned to usual care were followed by their primary care physicians , cardiologists , or surgeons . During the waiting period , the intervention group received individualized , prescribed exercise training twice per week in a supervised environment ; education and reinforcement ; and monthly nurse-initiated telephone calls to answer questions and provide reassurance . After surgery , patients in both the treatment and control groups were given the opportunity to join the existing cardiac rehabilitation program ( Appendix ) . Outcomes The primary outcome was postoperative length of hospital stay . Secondary outcomes were peak exercise performance , health-related quality of life , social support , anxiety , and utilization of health care services . Measurements were taken at baseline , 1 week before surgery , 6 to 8 weeks after surgery , and 6 months after surgery . All of the secondary outcome variables were measured at baseline and 1 week before surgery . At 6 weeks and 6 months after surgery , only exercise performance , quality of life , and social support were measured . Determination of Sample Size Sample size was determined by using 19941995 data on length of stay in our surgical center . According to a r and om sample of 20 patients undergoing elective CABG , the mean total length of stay SD was 9.4 3.5 days . On the basis of these data , and accounting for a loss of 10 % to 15 % of patients , we determined that a sample size of 125 patients per group had sufficient power ( 0.8 ) to detect a 1-day reduction in hospital stay ( = 0.05 ) . Procedures The Research Ethics Board of McMaster University ( Hamilton , Ontario ) and the study hospital approved the study . On a weekly basis , staff at each of the surgeon 's offices supplied the names of patients who were scheduled to wait at least 10 weeks for surgery . Patients were telephoned , and the study was explained to them . The recruitment officer was completely c and i d about the r and om assignment and the treatments that would be offered to each group . Within 1 week after giving verbal consent , patients came to the clinic to provide written informed consent . At this visit , we collected complete baseline data and patients underwent an exercise test . Baseline data included demographic information ( age , sex , socioeconomic status , living arrangements , education , and employment status ) ; medical history ; past and present smoking status ; and history of myocardial infa rct ion , angina , congestive heart failure , and diabetes . Baseline data were also collected on anxiety , health-related quality of life , utilization of health care services , and social support . Data later obtained from medical records included total length of hospital stay , length of postoperative stay , number of hours spent in the intensive care unit ( ICU ) before receiving a discharge order , and actual hours spent in the ICU . R and omization and Blinding The study coordinator r and omly assigned patients to study groups by using a concealed r and omization process . A consultant prepared the r and omization schedule , and assignments were sealed in opaque envelopes that were opened in sequence after consent and baseline data were obtained . Patients were not blinded to their group assignments . However , the patients ' physicians ( cardiologists , surgeons , and general practitioners ) were blinded to group assignment and were not informed of it at any point in the study by patients or health care staff . Persons involved in offering the intervention ( nurses , kinesiologists , dietitians ) were aware of the patients ' group assignments but had no role in determining the patients ' readiness for discharge from the ICU or from the hospital ; therefore , they did not directly affect the primary outcome . Assessment of Outcomes Data on length of stay were collected by individual chart review . Total length of stay and total length of ICU stay were easily determined by using admission and discharge date s. However , after discussion with the cardiovascular surgeons before the study began , we realized that total length of ICU stay would misrepresent patients ' postoperative progress . On many occasions , the patient is ready for discharge from the ICU but bed or staffing issues substantially delay his or her actual departure . Therefore , we collected data on length of ICU stay in hours and , more particularly , in hours until order for ICU discharge . This required detailed chart review to locate time in and time out information as well as the time that the physician 's discharge order was given . Although the physicians often did not record the times of their orders , these data were found in nurses ' ICU notes . In approximately 5 % of cases , the data were not retrievable and the mean time until order for discharge was imputed . Exercise performance was measured by using a symptom-limited , upright-cycle ergometer exercise test .  General health-related quality of life was measured by using the Medical Outcomes Study 36-item Short Form Survey ( SF-36 ) ( 13 ) .  Social support was measured by using the  Interpersonal Support Evaluation List  ( 14 ) , and the total scale score was used in analysis . Anxiety was measured with the Spielberger StateTrait Anxiety Inventory ( 15 ) , from which both a trait score and a state anxiety score were computed . The total score from the Health Services Utilization Question naire ( 16 ) was computed and used in the analysis ( Appendix ) . Statistical Analysis All analyses were performed by using the SPSS statistical package ( 17 ) , versions 6.0 and 8.0 ( SPSS , Inc. , Chicago , Illinois ) . We analyzed data on patients whose status was elective from study entry until 1 week before surgery ( n = 220 ) . Data were complete for the primary outcome variables . When a measurement tool did not supply an approach for dealing with missing data , we used an imputation strategy , the hot deck approach ( 18 ) , in which the score from a matched patient in the same group is substituted for the missing score . The defining characteristics for matching patients were age , sex , and number of bypasses required . At the measurement point 6 months after surgery , 78 % of patients returned for all final assessment s. Follow-up to establish vital status was complete for all patients . Data on length of stay are usually positively skewed . Therefore , we selected the MannWhitney test for
Evidence derived from small trials suggests that preoperative physical therapy reduces postoperative pulmonary complications ( atelectasis and pneumonia ) and length of hospital stay in patients undergoing elective cardiac surgery .
There is a lack of evidence that preoperative physical therapy reduces postoperative pneumothorax , prolonged mechanical ventilation or all-cause deaths
BACKGROUND After cardiac surgery , physical therapy is a routine procedure delivered with the aim of preventing postoperative pulmonary complications .
OBJECTIVES To determine if preoperative physical therapy with an exercise component can prevent postoperative pulmonary complications in cardiac surgery patients , and to evaluate which type of patient benefits and which type of physical therapy is most effective .