| Literature DB >> 32518637 |
G Thomas1, M A West2,3, M P W Grocott3,4,5, D Z H Levett3,4,5, M Browning6, G Minto7,8, M Swart9, K Richardson10,11, L McGarrity12, S Jack4,5.
Abstract
BACKGROUND: The use of preoperative cardiopulmonary exercise testing (CPET) to evaluate the risk of adverse perioperative outcomes is increasingly prevalent. CPET-derived information enables personalised perioperative care and enhances shared decision-making. Sex-related differences in physical fitness are reported in non-perioperative literature. However, little attention has been paid to sex-related differences in the context of perioperative CPET. AIM: We explored differences in the physical fitness variables reported in a recently published multi-centre study investigating CPET before colorectal surgery. We also report the inclusion rate of females in published perioperative CPET cohorts that are shaping guidelines and clinical practice.Entities:
Keywords: Cardiopulmonary exercise testing; Gender analysis; Preoperative assessment; Risk prediction; Sex analysis; Sex characteristics
Year: 2020 PMID: 32518637 PMCID: PMC7271469 DOI: 10.1186/s13741-020-00148-2
Source DB: PubMed Journal: Perioper Med (Lond) ISSN: 2047-0525
Patient characteristics, cardiopulmonary exercise testing variables and clinical outcomes of patients undergoing major colorectal surgery
| Males, | Females, | ||
|---|---|---|---|
| 68 ± 11 | 68 ± 12 | 0.640 | |
| 28 ± 5 | 28 ± 6 | 0.653 | |
| 0.663 | |||
| 0 | 11 (4.5%) | 5 (3.4%) | |
| 1 | 17 (6.9%) | 13 (8.8%) | |
| 2 | 46 (18.8%) | 32 (21.8%) | |
| 3 | 134 (54.7%) | 76 (51.7%) | |
| 4 | 37 (15.1%) | 21 (14.3%) | |
| 0.407 | |||
| Yes | 169 (39.5%) | 100 (36.4%) | |
| No | 259 (60.5%) | 175 (63.6%) | |
| Cardiopulmonary exercise test variables | |||
| 1.2 ± 0.5 | 0.8 ± 0.3 | 0.000 | |
| 13.1 ± 4.6 | 11.3 ± 3.9 | 0.000 | |
| 1.6 ± 0.5 | 1.1 ± 0.3 | 0.000 | |
| 21.0 ± 6.6 | 17.2 ± 5.3 | 0.000 | |
| 31.1 ± 6.4 | 30.5 ± 8.1 | 0.236 | |
| 114.7 ± 45.7 | 73.0 ± 33.4 | 0.000 | |
| 134 ± 21.2 | 133 ± 22.9 | 0.805 | |
| Clinical outcomes | |||
| 9.9 ± 9.7 | 9.6 ± 6.9 | 0.696 | |
| Yes | 279 (65.2%) | 166 (60.4%) | |
| No | 149 (34.8%) | 109 (39.6%) | |
| 7 (1.6%) | 5 (1.8%) | 0.855 | |
| 20 (4.7%) | 16 (5.8%) | 0.502 | |
AT anaerobic threshold, BMI body mass index, bpm beats per minute, HR heart rate, kg kilogrammes, VO volume of oxygen, WR work rate
Summary of the number of included males and females in recent studies with more than 100 participants that investigated the use of CPET for surgical risk assessment before major surgery
| Primary author, year | Target population | Sample size | M/F | % females | Sex-specific analysis |
|---|---|---|---|---|---|
| Older, 1993 | Patients older than 60 scheduled for major intra-abdominal surgery | NR | No | ||
| Older, 1999 | Patients scheduled for major intra-abdominal surgery | NR | No | ||
| Carlisle, 2007 | Patients after repair for unruptured AAA | NR | No | ||
| Snowden, 2010 | Patients assessed for major surgery with low subjective functional capacity | 107/64 | No | ||
| Wilson, 2010 | Patients older than 55 assessed for colorectal, bladder, or kidney cancer | 507/340 | Noa | ||
| Ausania, 2012 | Patients scheduled for pancreaticoduodenectomy | 67/57 | No | ||
| Colson, 2012 | Patients scheduled for major thoraco-abdominal surgery | 1121/604 | No | ||
| Hartley, 2012 | Patients scheduled for elective AAA repair | 349/66 | No | ||
| Prentis, 2012 | Patients scheduled for elective AAA repair | 161/24 | No | ||
| Lai, 2013 | Patients scheduled for colorectal surgery | NR | No | ||
| Lee, 2013 | Patients scheduled for colorectal surgery | 65/47 | No | ||
| Bernal, 2014 | Patients scheduled for liver transplant surgery | 151/72 | Yes | ||
| Dunne, 2014 | Patients scheduled for liver surgery | 138/59 | No | ||
| Neviere, 2014 | Patients scheduled for liver transplant surgery | 198/65 | No | ||
| West, 2014 | Patients scheduled for major colonic surgery | 89/47 | Yes | ||
| Grant, 2015 | Patients scheduled for elective AAA repair | 418/88 | No | ||
| Rose, 2018 | Patients scheduled for surgical treatment for colorectal cancer | 126/87 | No |
aThe authors do note a male/female difference in the number of patients classified as “unfit” or “high-risk” and suggest that this should be looked at in further research. However, there was no separate analysis of outcome
Fig. 1Clinical consequences of applying threshold values from cohorts with mainly male participants to both sexes. This schematic graph presents the distribution of male and female physical fitness, as assessed using CPET parameters such as oxygen uptake at AT. Female distribution is shown on the left in yellow; male distribution is shown on the right in red. The threshold value at which patients are allocated to a “high-surgical-risk population” is based on the total pool of research participants. As shown in the graph, the proportion of females included in the high-risk category is much larger than the proportion of males because there are more males than females in the total study population. AT, anaerobic threshold; CPET, cardiopulmonary exercise testing