Research
The Impact of Perioperative Hypothermia on Plastic Surgery Outcomes: A Multivariate Logistic Regression of 1062 Cases
Aesthetic Surgery Journal 2015, Vol 35(1) 81–88 © 2015 The American Society for Aesthetic Plastic Surgery, Inc. Reprints and permission:
[email protected] DOI: 10.1093/asj/sju022 www.aestheticsurgeryjournal.com
Ryan S. Constantine, BA; Matthew Kenkel, BA; Rachel E. Hein, BS; Roberto Cortez, BS; Kendall Anigian, BS; Kathryn E. Davis, PhD; and Jeffrey M. Kenkel, MD, FACS
Abstract Background: Perioperative hypothermia has been associated with increased rates of infection, prolonged recovery time, and coagulopathy. Objectives: The authors assessed the impact of hypothermia on patient outcomes after plastic surgery and analyzed the impact of prewarming on postoperative outcomes. Methods: The medical charts of 1062 patients who underwent complex plastic surgery typically lasting at least 1 hour were reviewed. Hypothermia was defined as a temperature at or below 36°C. Postoperative complication data were collected for outcomes including infection, delayed wound healing, seroma, hematoma, dehiscence, deep venous thrombosis, and overall wound problems. Odds ratios (ORs) were estimated from 3 multivariate logistic regression models of hypothermia and one model of body contouring procedures that included prewarming as a parameter. Results: Perioperative hypothermia was not a significant predictor of wound problems (OR = 0.83; P = .28). In the stratified regression model, hypothermia did not significantly impact wound problems. The regression model measuring the interaction between hypothermia and operating time did not show a significantly increased risk of wound problems. Prewarming did not significantly affect perioperative hypothermia (P = .510), and in the model of body contouring procedures with prewarming as a categorical variable, massive weight loss was the most significant predictor of wound complications (OR = 2.57; P = .003). Prewarming did not significantly affect outcomes (OR = 1.49; P = .212). Conclusions: Based on univariate and multivariate models in our study, mild perioperative hypothermia appears to be independent of wound complications. Level of Evidence: 4
Accepted for publication May 22, 2014.
All surgical patients have the potential to develop perioperative hypothermia, which has considerable implications for both patients and surgeons. It has been reported that temperatures falling below 36°C can lead to complications and negative outcomes such as infection, prolonged recovery time, and coagulopathy.1-6 In plastic surgery, the potential for perioperative hypothermia is a cause for concern due to the effects of general anesthesia on human thermoregulatory thresholds (eg, vasoconstriction). In addition, a large body surface area is often exposed in plastic and reconstructive
Risk
procedures, underscoring the need to pay particular attention to maintaining optimal internal body temperature. From the Department of Plastic and Reconstructive Surgery, University of Texas Southwestern Medical Center, Dallas, Texas. Corresponding Author: Dr Jeffrey M. Kenkel, Department of Plastic Surgery, University of Texas Southwestern Medical Center, 1801 Inwood Rd, Dallas, TX 75390-9132, USA. E-mail:
[email protected]
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Passive warming, which includes blankets and other insulating materials, and active warming, which includes forced air and warmed fluids, are aimed at maintaining normothermia during surgery and avoiding the side effects of perioperative hypothermia.7-9 Much of the current literature, particularly in the field of plastic and reconstructive surgery, has focused on educating clinicians on the perils of not maintaining normothermia and on improving methods for maintaining normothermia, rather than on evaluating the efficacy of current techniques on patient outcomes.10-12 In this study, we evaluated the prevalence and effect of perioperative hypothermia on patient outcomes in a large sample size of patients treated in an academic medical setting. We also analyzed the impact of prewarming on the development of perioperative hypothermia and on postoperative outcomes in the body contouring population.
METHODS At our academic medical center, we conducted a retrospective chart review of 1801 complex plastic surgery procedures occurring over a 4-year period from January 1, 2008, to January 31, 2012, at 4 separate surgical facilities. Data from patient charts and hospital records were extracted and compiled in a database. A broad range of complex procedures and some combined procedures were included, characterized by long operating times of typically at least one hour. Aesthetic procedures such as abdominoplasty, brachioplasty, thighplasty, breast mastopexy/reduction, lower body lift, circumferential body lift, buttock lift, facelift, and rhinoplasty, as well as reconstructive procedures such as breast reconstruction and various free-flap procedures were included in the analysis. All patients underwent general anesthesisa. Preoperative patient characteristics such as gender, age, and body mass index (BMI) and common comorbidities associated with postoperative complications were recorded.13,14 Patient perioperative temperature was also included in the database and subsequent analyses. Patients that did not have perioperative temperature data were excluded from the analysis. Hypothermia was indicated if perioperative temperature decreased to below 36°C. Outcomes were measured first with univariate analysis and then with multivariate logistic regression for relevant patient demographics such as age, gender, and BMI as well as common comorbidities. Outcomes were defined as surgical site infection, dehiscence, erythema, necrosis, seroma, hematoma, delayed wound healing, and composite wound problems, which included all of these outcomes. These complications were then extracted from the chart review and included in the database. Patient demographics were summarized as means with standard deviations (SDs) for continuous variables and as percentages for categorical variables. We compared patient characteristics and comorbidities with univariate analyses, and relevant factors were selected for
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further analysis. Odds ratios (ORs) were estimated using 3 logistic regression models: (1) a base model including hypothermia status, (2) a model adjusting for stratified perioperative hypothermia, and (3) a model measuring the interaction between duration of surgery and hypothermia. The base model analysis included 3 separate regression models that characterized procedure type as body contouring procedures, general flap-based procedures, or reconstructive breast procedures. These 3 regression models all evaluated the common endpoint of composite wound problem. Massive weight loss was included as a comorbidity in the body contouring procedure analysis, because it has been shown to be a significant predictor of wound complications.15 This first regression analysis was continued as an aggregate of all 3 proceduretype cohorts for all subsequent analyses. The second logistic regression model stratified hypothermic patients in 3 increments of 0.5°C, with the third stratification including all patients whose body temperatures decreased to below 35°C. Operating time was stratified in 2-hour increments (0 to 2 hours, 2 to 4 hours, 4 to 6 hours, 6 to 8 hours, and 8+ hours). A separate analysis was conducted to determine the impact of prewarming on developing hypothermia and patient outcomes in the body contouring population. Warming status was included as an endpoint in the overall database. Univariate analysis and multivariate logistic regression were conducted on all patients whose primary surgery included abdominoplasty, panniculectomy, suction-assisted lipectomy, or any other body contouring procedure. Statistical significance was defined as P < .05, and all tests were 2-sided. All data analyses and graphics were conducted and generated with Stata/SE Version 12.0 (StataCorp, Inc, College Station, TX) and GraphPad Prism, version 6.00 for Mac (GraphPad Software, La Jolla, CA) statistical software.16
RESULTS Patient demographics and complication rates are summarized in Table 1. One thousand sixty-two patients met inclusion criteria for analysis. Of these, 873 were women and 189 were men, with a mean (± SD) age of 50.4 ± 13.4 years (range, 15-85 years), and BMI of 27.8 ± 7.1 kg/m2. The overall complication rate was 25.7%, with a mean follow-up time of 6 months. The majority of patients were hypothermic: 820 of 1062 (77.2%) had perioperative body temperatures at or below the 36°C hypothermia threshold (Figure 1). Hypothermic patients had a mean (± SD) body temperature of 35.6°C ± 0.71°C (range, 32.6°C to 39.7°C). All patients received perioperative warming, and there were similar rates of hypothermia at all 4 facilities (Table 2). Mean operating time was 4.4 ± 3.0 hours (range, 0.62– 18.32 hours), reflecting the complexity of the operations typically included in the analysis (Table 3). In the
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univariate analysis, there was no significant difference in outcomes between hypothermic and normothermic patients for any patient characteristic other than gender, hypertension status, or cancer status (Table 4). Multivariate Table 1. Patient Demographics (N = 1062) Characteristic
N
%
Male gender
189
17.8
Age >45 y (mean ± SD, 50.4 ± 13.4 y)
720
67.8
BMI ≥30 kg/m2 (mean ± SD, 27.8 ± 7.1)
310
29.5
Smoker
111
10.4
Diabetes mellitus
125
11.8
Hypertension
345
32.5
CAD
26
2.4
MI
20
1.9
229
21.6
30
2.8
215
20.2
92
8.7
307
28.9
6
0.6
17
1.6
820
77.2
273
25.7
Infection
77
7.6
Dehiscence
54
5.1
Erythema
74
7.0
Necrosis
22
2.1
Seroma
75
7.1
Hematoma
16
1.5
Delayed wound healing
38
3.6
Other cardiac disease COPD Other pulmonary disease Renal diseases Cancer HIV/AIDS DVT Hypothermic body temperature (mean ± SD, 35.6°C ± 7.1) Wound problem
a
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; DVT, previous history of deep vein thrombosis; HIV/AIDS, human immunodeficiency virus/acquired immunodeficiency syndrome; MI, previous myocardial infarction; SD, standard deviation. a Wound problem includes any type of complication (infection, dehiscence, erythema, necrosis, seroma, hematoma, and delayed wound healing).
logistic regression analyses by procedure type indicated that hypothermia status was not a statistically significant indicator of composite wound problems (body contouring procedures: OR, 1.80; P = .077; flap-based procedures: OR, 0.69; P = .148; and reconstructive breast procedures: OR, 0.77; P = .451; Tables 5-7). In the aggregate base model, hypothermia was not a statistically significant predictor of composite wound problems (OR, 0.83; P = .277; Table 8). In the stratified model based on body temperature, all 3 temperature categories (36.0°C-35.5°C, 35.5°C-35.0°C, and .000
Renal disease
1.23
0.78-2.06
.674
Hypothermia
1.80
0.94-3.45
.077
Cancer
0.98
0.86-1.63
.919
DVT
4.27
0.24-2.40
.250
Hypothermia
0.77
0.60-1.18
.451
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CI, confidence interval; COPD, chronic obstructive pulmonary disease; MI, previous myocardial infarction; MWL, massive weight loss; OR, odds ratio.
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CAD, coronary artery disease; CI, confidence interval; COPD, chronic obstructive pulmonary disease; DVT, previous history of deep vein thrombosis; MI, previous myocardial infarction; OR, odds ratio.
Table 6. Multivariate Logistic Regression: Hypothermia Status in Flap-Based Procedures (N = 344) Variable
OR
95% CI
P Value
Male gender
1.06
0.66-1.72
.791
Age ≥45 y
1.17
0.66-2.08
.579
BMI ≥ 30 kg/m2
0.94
0.58-1.54
.817
Diabetes mellitus
1.67
0.88-3.16
.116
Smoking
1.88
1.03-3.43
.039
Hypertension
0.79
0.45-1.36
.389
CAD
1.70
0.53-5.46
.372
MI
3.51
0.97-12.7
.056
Other cardiac disease
0.69
0.37-1.26
.227
COPD
0.55
0.17-1.77
.317
Other pulmonary disease
1.03
0.58-1.84
.922
Renal disease
1.50
0.79-2.84
.218
Cancer
1.19
0.64-2.22
.582
DVT
0.63
0.14-2.81
.541
Hypothermia
0.69
0.42-1.14
.148
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CAD, coronary artery disease; CI, confidence interval; COPD, chronic obstructive pulmonary disease; DVT, previous history of deep vein thrombosis; MI, previous myocardial infarction; OR, odds ratio.
interthreshold range is typically 0.2°C; however, when general anesthesia is induced, this range goes up to 4.0°C. This means that there is no thermoregulatory response until the patient’s temperature is 4.0°C (higher or lower) different than normal core body temperature as opposed to a 0.2°C change inducing a thermoregulatory response.2,18,19 Patients are susceptible to 3 phases of hypothermia during anesthesia, including a body temperature drop of 1.0°C to 1.5°C during the first 60 minutes, a linear decline in temperature from 1 to 3 hours postinduction of anesthesia, and a plateau in core temperature from 2 to 4 hours of anesthesia.18 However, these 3 phases can be counteracted with preoperative warming, forced air, warmed fluids, and/or passive warming through insulation.20 Despite these warming techniques, perioperative hypothermia has been reported in the literature at rates from ranging from 50% to 90% of all patients undergoing major and minor surgical procedures with general anesthesia.21-24 Our study population fell within this range, with 77.2% of patients having body temperatures at or below the 36°C threshold during the operating period. This rate of hypothermia occurred despite the fact that all patients received active and passive warming perioperatively. Mild perioperative hypothermia has been associated with various complications, including wound infection, morbid
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Table 8. Multivariate Logistic Regression: Hypothermia Status (N = 1062) Variable
OR
95% CI
P Value
Sex (male)
1.17
0.80-1.70
.426
Age ≥45 y
1.23
0.88-1.71
.218
BMI ≥30 y
1.28
0.94-1.75
.114
Diabetes mellitus
1.13
0.71-1.81
.596
Smoking
1.29
0.83-2.02
.260
Hypertension
1.09
0.78-1.53
.609
CAD
2.08
0.76-5.67
.152
MI
1.07
0.35-3.29
.900
Other cardiac disease
0.76
0.52-1.11
.151
COPD
0.74
0.30-1.83
.515
Other pulmonary disease
1.02
0.70-1.48
.937
Renal disease
1.27
0.78-2.06
.344
Cancer
1.18
0.86-1.63
.299
HIV/AIDS
2.60
0.50-13.60
.258
DVT
0.75
0.24-2.40
.634
Hypothermia
0.83
0.60-1.18
.277
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CAD, coronary artery disease; CI, confidence interval; COPD, chronic obstructive pulmonary disease; DVT, previous history of deep vein thrombosis; HIV/AIDS, human immunodeficiency virus/acquired immunodeficiency syndrome; MI, previous myocardial infarction; OR, odds ratio.
cardiac events, perioperative blood loss, and longer duration of hospitalization.1,25-28 Among the most commonly cited articles evaluating perioperative hypothermia and its effects on wound infection rates is a randomized trial by Kurz et al1 in which a standard warming procedure was followed in half of the patients and not in the other half. This trial has served as the foundation for several subsequent studies and patient safety continuing medical education modules. However, the study design itself prompted multiple researchers and clinicians to cite significant study limitations, such as ignoring best clinical practices in 50% of patients by avoiding active warming, relatively small sample size (n = 200) prone to statistical fluctuation, and infection rates that were artificially inflated by failing to use standard temperature-regulating techniques.29-33 Furthermore, the authors of this study investigated outcomes of colorectal surgery, which is likely susceptible to a unique bacterial fauna when compared with the typical bacteria encountered in plastic or reconstructive surgery. Despite the limitations of the study by Kurz et al,1 our results are in agreement with their conclusion that routine perioperative warming, by both passive and active methods, appears to mitigate complications from hypothermia. With
Table 9. Multivariate Logistic Regression: Impact of Prewarming on Body Contouring Outcomes (N = 343) Variable
OR
95% CI
P Value
Male gender
0.78
0.30-2.02
.608
Age ≥45 y
1.40
0.75-2.58
.289
BMI ≥30 y
1.38
0.72-2.64
.333
MWL
2.57
1.37-4.83
.003
Diabetes mellitus
0.93
0.31-2.83
.899
Smoker
0.11
0.01-0.86
.035
Hypertension
1.91
0.97-3.74
.061
Cardiac disease other than MI
0.46
0.18-1.18
.104
Pulmonary disease other than COPD
0.28
0.09-0.96
.042
Renal disease
1.62
0.37-7.20
.525
Cancer
0.91
0.28-2.91
.867
Prewarming
1.49
0.80-2.78
.212
Hypothermia was defined as a minimum temperature of ≤36.0°C. BMI, body mass index; CAD, coronary artery disease; CI, confidence interval; COPD, chronic obstructive pulmonary disease; MI, myocardial infarction; MWL, massive weight loss; OR, odds ratio.
both univariate and multivariate logistic regression models, we demonstrated that wound infection and wound complications are not significantly higher when patients become hypothermic perioperatively. This finding suggests that when patients are cared for under best practice standards for perioperative warming, hypothermia is independent of wound complications and infections. Prewarming before surgery has been proposed as a means of mitigating the effects of hypothermia induced by anesthesia and potentially as a means of preventing perioperative hypothermia from occurring in the first place.34-36 In a small study population (n = 16), prewarming with an electric blanket for at least 90 minutes reduced postinduction hypothermia in patients who had receiving prewarming when compared with patients who did not.37 However, to our knowledge, the impact of prewarming on individual patient outcomes has not been investigated. Our study indicates that prewarming appears to have no statistically significant effect on reducing the rate of hypothermia in plastic surgery, and that prewarming does not significantly impact patient outcomes. This finding is important given that patients who undergo plastic or reconstructive surgery often have a large body area exposed during the operation. Although prewarming should reduce hypothermia after induction of anesthesia, heat loss due to skin preparation, heat evaporation from the operating field, and infusion of intravenous fluids can negate these effects.37 As physician and hospital quality assurance measures are increasingly implemented for reimbursement purposes
Constantine et al
through the Physician Quality Reporting System and Hospital Quality Initiative, further studies should address the definition and impact of perioperative hypothermia. The Agency for Healthcare Research and Quality (AHRQ) and the National Quality Forum (NQF) indicate that a single body temperature measurement of >36.0°C within 30 minutes before or 15 minutes after anesthesia is an adequate marker of normothermia.38 The results of our study, however, indicate that this threshold may need to be reconsidered, particularly in conjunction with results of the foundational study that showed infection risk from perioperative hypothermia in a patient population with a mean temperature of 34.7°C ± 0.6°C—well below the accepted 36.0°C threshold.1,38 In our study, perioperative blood loss was not included as an endpoint because the authors believed that perioperative notes regarding estimated blood loss were both imprecise and arbitrary in many cases. Clinical outcomes studies analyzing the effect of hypothermia in plastic surgery have been very limited; however, one study noted a lower minimum temperature associated with both seroma and transfusion in patients who underwent body contouring.39 Potential limitations of this study may be best addressed with further research utilizing a prospective database that would capture a greater number of variables for analysis, including operating room temperatures. Another limitation of our study is that our dataset did not include duration of hypothermia—ostensibly, an important measure in investigating the relationship between hypothermia and surgical outcomes. As with all retrospective outcome reviews, confounding is a possibility in our study, and sample sizes for each procedure type limited our ability to further investigate outcomes by procedure type.
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Funding The authors received no financial support for the research, authorship, and publication of this article.
Previous Presentation Presented at the American Society of Aesthetic Plastic Surgery Aesthetic Meeting, April 28, 2014; San Francisco, CA.
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CONCLUSIONS Our results suggest that mild perioperative hypothermia appears to be independent of wound complications in patients who undergo plastic surgery. This finding does not suggest a diminished importance of perioperative hypothermia and thermoregulation in surgery. Indeed, this study appears to reinforce the importance of perioperative warming. As plastic surgery enters the age of outcomes measurement, the definition of perioperative hypothermia and its effect on patient outcomes deserves further study. Plastic and reconstructive surgeons should remain vigilant regarding perioperative patient body temperature.
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Disclosures The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article.
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