Comparison of Baseline Characteristics Between Preoperative (Group P) and Postoperative (Group A) Dexamethasone Administration Groups in ERAS Gynecological Laparoscopy
A total of 327 eligible patients were initially identified from the electronic medical records, including 172 patients in the preoperative dexamethasone group and 155 patients in the postoperative dexamethasone group. After 1:1 propensity score matching, 180 patients were included in the final analysis, with 90 patients in each group. Demographic (age and BMI), clinical (ASA physical status grade, comorbidities, history of PONV/motion sickness, and smoking status), and perioperative (surgical type and duration) characteristics were evaluated. Baseline demographic and clinical characteristics after propensity score matching are presented in Figure 1A–F, with detailed pre- and post-matching characteristics and SMDs summarized in Supplementary Figure 1 and Supplementary Table 1.

Figure 1. Baseline characteristics after propensity score matching. Please click here to view a larger version of this figure.
Baseline characteristics are compared between the preoperative dexamethasone group (Group P; n = 90) and the postoperative dexamethasone group (Group A; n = 90) after propensity score matching. (A) Violin plots showing the age distribution in each treatment group. (B) Box-and-whisker plots showing the distribution of body mass index (BMI), with median values indicated; ns indicates not statistically significant (P ≥ 0.05, Mann–Whitney U test). (C) Radar plot comparing normalized baseline characteristics, including age, BMI, American Society of Anesthesiologists (ASA) physical status grade, comorbidity burden, and surgical duration. Variables were normalized to a 0–1 scale using min–max normalization across the pooled cohort for visualization. (D) Scatter plot showing the relationship between patient age and surgical duration for individual patients in each treatment group; dashed vertical and horizontal reference lines indicate group mean values for age and surgical duration, respectively. (E) Stacked bar charts showing the distribution of surgical procedures according to ASA physical status grade in each treatment group. (F) Pie charts showing the proportion of patients with and without a history of postoperative nausea and vomiting (PONV) or motion sickness in each treatment group.
Before matching, several baseline covariates showed moderate imbalance between groups, with the maximum SMD reaching 0.278. After matching, all SMDs were reduced to <0.1 (range, 0.000–0.074), indicating good covariate balance. No statistically significant between-group differences were observed in smoking status (12.2% in Group P vs. 11.1% in Group A, P = 0.824), hypertension prevalence (20.0% vs. 17.8%, P = 0.831), or intraoperative crystalloid infusion volume (median, 850 mL vs. 880 mL, P = 0.376). The incidence of transient hyperglycemia was comparable between groups (6.7% vs. 7.8%, P = 0.779), and no severe dexamethasone-related adverse events were recorded in either group. Covariate balance plots demonstrated substantial overlap of propensity score distributions and consistent reductions in SMDs after matching (Supplementary Figure 1).
Overall, the propensity score matching procedure achieved well-balanced baseline characteristics between Group P and Group A, providing comparable study groups for subsequent outcome analyses.
Impact of Dexamethasone Administration Timing on Postoperative Nausea and Vomiting Outcomes in ERAS Gynecological Laparoscopy
Postoperative nausea and vomiting outcomes are summarized in Figure 2A–F. Patients receiving preoperative dexamethasone (Group P; n = 90) exhibited a lower 48-h incidence of PONV than those receiving postoperative dexamethasone (Group A; n = 90) (16.7% vs. 40.0%). Group P also demonstrated a lower median PONV severity score (1.5 vs. 4.0) and a shorter mean duration of PONV episodes (2.0 vs. 4.6 h). Kaplan–Meier analysis showed a higher probability of remaining free from PONV during the 48-h postoperative period (Figure 2A), while cumulative PONV incidence remained lower across all postoperative assessment intervals (Figure 2D). PONV severity distributions and episode duration are presented in Figure 2B,C, respectively. Rescue antiemetic utilization was comparable between groups across ASA physical status grades (range, 2.9%–14.3%; Figure 2E), whereas a greater proportion of patients in Group P remained free from moderate-to-severe PONV symptoms (Figure 2F).

Figure 2. Postoperative nausea and vomiting outcomes according to the timing of dexamethasone administration. Please click here to view a larger version of this figure.
Postoperative nausea and vomiting (PONV) outcomes are compared between the preoperative dexamethasone group (Group P; n = 90) and the postoperative dexamethasone group (Group A; n = 90). (A) Kaplan–Meier curves showing the probability of remaining PONV-free during the first 48 h after surgery; shaded bands represent 95% confidence intervals, and the P value was calculated using the log-rank test. (B) Violin plots showing the distribution of PONV severity measured using the visual analog scale (VAS; 0–10); central markers indicate medians, box edges indicate interquartile ranges, and whiskers indicate the range. Median PONV severity was 1.5 in Group P and 4.0 in Group A (P < 0.001, Mann–Whitney U test). (C) Individual PONV episode duration for each patient, sorted by duration within each treatment group; dashed horizontal lines indicate group mean PONV duration. (D) Cumulative incidence of PONV at 6, 24, and 48 h after surgery. (E) Rescue antiemetic utilization according to American Society of Anesthesiologists (ASA) physical status grade in each treatment group. (F) Distribution of PONV severity categories in each treatment group: none (no PONV symptoms), mild (VAS 1–3), moderate (VAS 4–6), and severe (VAS 7–10). Categorical variables were compared using the chi-squared test or Fisher's exact test, as appropriate. All tests were two-tailed, and P < 0.05 was considered statistically significant.
Dexamethasone Administration Timing Modulates Perioperative Proinflammatory Biomarker Dynamics in ERAS Gynecological Laparoscopy
Perioperative inflammatory biomarker profiles are presented in Figure 3A–F. Patients receiving preoperative dexamethasone (Group P) demonstrated lower concentrations of C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) at 24 and 48 h after surgery than those receiving postoperative dexamethasone (Group A). Group P also exhibited lower inflammatory biomarker peaks at 24 h and lower biomarker concentrations at 48 h. Mean TNF-α concentration at 24 h was 10.21 pg/mL in Group P compared with 17.63 pg/mL in Group A (P < 0.001; Figure 3F). Temporal changes in inflammatory biomarker concentrations are shown in Figure 3B, fold changes relative to the preoperative baseline are presented in Figure 3D, hierarchical clustering of normalized biomarker profiles is shown in Figure 3A, and individual changes in CRP are presented in Figure 3E. No significant within-group correlation was observed between 24-h IL-6 and CRP concentrations in either group (Figure 3C).

Figure 3. Perioperative inflammatory biomarker profiles according to the timing of dexamethasone administration. Please click here to view a larger version of this figure.
Inflammatory biomarker profiles are compared between the preoperative dexamethasone group (Group P; n = 90) and the postoperative dexamethasone group (Group A; n = 90). (A) Heat map displaying Z-score-normalized inflammatory biomarker values for individual patients at the preoperative assessment and at 24 and 48 h after surgery; hierarchical clustering was performed using Ward's minimum variance method with Euclidean distance. (B) Temporal changes in inflammatory biomarker concentrations, including interleukin-6 (IL-6), C-reactive protein (CRP), and tumor necrosis factor-alpha (TNF-α), measured preoperatively and at 24 and 48 h after surgery. (C) Scatter plot showing the relationship between 24-h postoperative CRP and IL-6 concentrations, with regression lines for each treatment group; bubble size represents postoperative nausea and vomiting (PONV) risk category, with larger bubbles indicating higher risk. (D) Fold changes in CRP, IL-6, and TNF-α concentrations at 24 and 48 h after surgery relative to preoperative baseline values; fold change was calculated as the postoperative concentration divided by the preoperative baseline concentration for each patient. (E) Waterfall plots showing the individual change in CRP concentration from the preoperative assessment to 24 h postoperatively, with patients ranked according to the magnitude of change; the change in CRP concentration was calculated as the 24-h postoperative CRP concentration minus the preoperative CRP concentration for each patient. (F) Violin plots comparing 24-h postoperative TNF-α concentrations between treatment groups; individual observations are shown as points, horizontal lines indicate medians, diamonds indicate means, and violin outlines show the distributions. Z-scores were calculated as (x − µ)/σ for each biomarker across all samples and time points. Significance annotations correspond to P < 0.05 by two-tailed Mann–Whitney U test.
Dexamethasone Timing Impacts Postoperative Recovery Milestones and Patient Outcomes in ERAS Gynecological Laparoscopy
Postoperative recovery outcomes are summarized in Figure 4A–F. Patients receiving preoperative dexamethasone (Group P) achieved earlier postoperative recovery milestones than those receiving postoperative dexamethasone (Group A). Median times to first ambulation (3.3 vs. 9.2 h) and first oral intake (3.6 vs. 9.4 h) were shorter in Group P, as were the times to first flatus and first defecation (all P < 0.01; Figure 4D). Overall recovery profiles are summarized in the radar plot (Figure 4A), and cumulative recovery curves for first ambulation and first oral intake are presented in Figure 4B. Group P also had lower postoperative pain scores and reduced opioid consumption (Figure 4C), a higher 48-h ERAS goal completion rate (80.0% vs. 17.8%; Figure 4E), a shorter mean hospital stay (2.1 vs. 3.2 days; mean difference, 1.1 days; P < 0.001), and higher patient satisfaction scores (Figure 4F).

Figure 4. Enhanced Recovery After Surgery outcomes according to the timing of dexamethasone administration. Please click here to view a larger version of this figure.
Enhanced Recovery After Surgery (ERAS) outcomes are compared between the preoperative dexamethasone group (Group P; n = 90) and the postoperative dexamethasone group (Group A; n = 90). (A) Radar plot comparing normalized recovery domains, including pain control, oral intake, ambulation, flatus, bowel movement, and patient satisfaction. Recovery domain scores were normalized to a 0–100 scale using min–max normalization across the pooled cohort, with higher scores indicating better recovery. (B) Cumulative recovery curves showing the proportion of patients achieving first ambulation (upper panel) and first oral intake (lower panel) over time after surgery. (C) Scatter plot showing the relationship between mean postoperative pain score measured using the visual analog scale (VAS) and opioid consumption during the first 24 h after surgery, with linear regression lines for each treatment group. (D) Box-and-whisker plots comparing the time to first ambulation, first oral intake, first flatus, and first bowel movement between treatment groups. Boxes indicate the interquartile range, center lines indicate medians, whiskers extend to 1.5 times the interquartile range, and individual points indicate outliers. (E) Cumulative ERAS goal completion over time for the preoperative (upper panel) and postoperative (lower panel) dexamethasone groups; 30%, 50%, and 70% indicate the 30%, 50%, and 70% ERAS goal-completion reference levels, respectively. (F) Violin plots showing the distribution of patient satisfaction scores at discharge; individual observations are shown as points, horizontal lines indicate medians, dashed lines indicate means, and violin outlines show the distributions. Significance was assessed using the Mann–Whitney U test; * P < 0.05, ** P < 0.01, *** P < 0.001, ns not significant.
Subgroup Efficacy Consistency and Outcome Correlations of Dexamethasone Timing in ERAS Gynecological Laparoscopy
Subgroup analyses and postoperative outcome correlations are presented in Figure 5A–F. The association between preoperative dexamethasone administration and a lower 48-h incidence of PONV was observed across the evaluated age, ASA physical status grade, and surgical duration subgroups (Figure 5A). Overall, the odds of PONV were higher in Group A than in Group P (OR, 3.33; 95% CI, 1.66–6.69; P < 0.001). The association was greater among patients with longer surgical duration and ASA physical status grade II. Overall postoperative complication rates were comparable between groups and consisted predominantly of mild transient events (Figure 5B,D). Lower incidences of delayed ambulation, delayed oral intake, prolonged hospital stay, and rescue antiemetic use were observed in Group P. The relationship between 24-h IL-6 concentrations and postoperative complication risk scores is shown in Figure 5C. Higher 24-h IL-6 concentrations were positively correlated with higher complication risk scores in both groups (Group P: r = 0.382, P = 0.001; Group A: r = 0.521, P = 0.001); however, the strength of the correlations did not differ significantly between groups (Fisher’s z = 1.16, P = 0.246). The relationship between subgroup sample size and estimated OR is presented in Figure 5E, and the overall treatment performance across clinical domains is summarized in Figure 5F.

Figure 5. Subgroup analyses, postoperative outcomes, and treatment profile according to the timing of dexamethasone administration. Please click here to view a larger version of this figure.
Subgroup analyses and postoperative outcomes are compared between the preoperative dexamethasone group (Group P; n = 90) and the postoperative dexamethasone group (Group A; n = 90). (A) Forest plot showing subgroup analyses of the association between dexamethasone administration timing and the 48-h incidence of postoperative nausea and vomiting (PONV); squares represent odds ratios (ORs), horizontal lines represent 95% confidence intervals (CIs), the diamond indicates the overall effect estimate, and the dashed vertical line represents the null effect (OR = 1). (B) Incidence of postoperative complications, including delayed ambulation, delayed oral intake, prolonged ileus, wound infection, urinary retention, and respiratory events. (C) Scatter plot showing the relationship between interleukin-6 (IL-6) concentration at 24 h after surgery and postoperative complication risk score, with linear regression lines for each treatment group. (D) Incidence of postoperative adverse events according to event type. (E) Bubble plot showing subgroup sample size versus estimated OR; bubble size is proportional to subgroup sample size, horizontal lines represent 95% CIs for subgroup-specific ORs, and the dashed vertical line indicates the overall OR. (F) Radar plot comparing normalized treatment performance across multiple clinical domains, including PONV reduction, anti-inflammatory effect, safety profile, opioid reduction, recovery speed, and pain control. Treatment performance domains were normalized to a 0–1 scale using min–max normalization across the pooled cohort for comparative visualization, with higher values indicating better performance. American Society of Anesthesiologists (ASA) physical status grade is used for the corresponding subgroup classification. Between-group comparisons were performed using the chi-squared test or Fisher's exact test for categorical outcomes and the Mann–Whitney U test for continuous outcomes, as appropriate. All P values are two-tailed; significance annotations correspond to * P < 0.05, ** P < 0.01, *** P < 0.001, and ns (not significant) for P ≥ 0.05.
Data Availability:
The de-identified individual participant data supporting the principal analyses reported in this article are provided in Supplementary Data File 1. Baseline characteristics before and after propensity score matching are provided in Supplementary Table 1, and propensity score matching diagnostics are provided in Supplementary Figure 1. Supplementary Data File 1 contains de-identified patient-level data for the 180 propensity score-matched participants included in the final analysis and contains no direct patient identifiers.
Supplementary Figure 1. Propensity score matching diagnostics. (Left) Love plot showing the absolute standardized mean differences (SMDs) for baseline covariates before (open circles) and after (filled squares) 1:1 nearest-neighbor propensity score matching with a caliper width of 0.2 standard deviations of the logit of the propensity score. The dashed vertical line indicates the prespecified covariate balance threshold (SMD = 0.1). (Right) Distribution of propensity scores in Group P and Group A before (dashed outlines) and after (filled histograms) propensity score matching, demonstrating improved overlap of propensity score distributions following matching. Please click here to download this file.
Supplementary Table 1. Baseline characteristics of the study population before and after propensity score matching. Baseline demographic, clinical, and perioperative characteristics of patients who received preoperative or postoperative dexamethasone before and after 1:1 propensity score matching. Data are presented as mean ± standard deviation (SD) or number (%). Standardized mean differences (SMDs) were calculated to assess covariate balance before and after matching. Please click here to download this file.
Supplementary Data File 1. De-identified participant-level data for the propensity score-matched cohort. The dataset contains de-identified patient-level data for 180 participants included in the final propensity score-matched analysis, comprising 90 patients in the preoperative dexamethasone group (Group P) and 90 patients in the postoperative dexamethasone group (Group A). Variables include demographic and baseline clinical characteristics, surgical characteristics, 48-h PONV outcomes, postoperative recovery outcomes, 24-h inflammatory biomarker concentrations, postoperative complication risk scores, and patient satisfaction scores. Patient identifiers are study-specific de-identified codes. Please click here to download this file.