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. 2021 Jul 24;28(11):6613–6624. doi: 10.1245/s10434-021-10414-2

Predicting Early and Late Readmissions Following Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy

Eui Whan Moon 1, Jolene Si Min Wong 1, Amanda Hui Min See 1, Whee Sze Ong 2, Chee Ann Tan 1, Chin-Ann Johnny Ong 1,3,4,5, Claramae Shulyn Chia 1,4, Khee Chee Soo 1,4, Melissa Ching Ching Teo 1,4, Grace Hwei Ching Tan 1,
PMCID: PMC8460494  PMID: 34304310

Abstract

Background

Postoperative readmissions not only burden the healthcare system but may also affect clinical outcomes of cancer patients. Despite this, little is known about readmissions after cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC), or their impact on survival outcomes.

Patients and Methods

A single-institution retrospective cohort study of CRS-HIPEC procedures from April 2001 and September 2019 was performed. Early readmission (ERA) was defined as hospitalization within 30 days of discharge post-CRS/HIPEC, while late readmission (LRA) was defined as hospitalization between day 31 and 90 after discharge. Patient demographic, oncological, and perioperative factors were analyzed to identify predictors of readmission, and comparison of survival outcomes was performed.

Results

Overall, 342 patients who underwent CRS-HIPEC were included in the study. The incidence of ERA and LRA was 18.5% and 7.4%, respectively. High-grade postoperative complication was the only independent predictor of ERA (HR 3.64, 95% CI 1.47–9.02), while comorbid hypertension (HR 2.71, 95% CI 1.17–6.28) and stoma creation (HR 2.83, 95% CI 1.23–6.50) were independent predictors for LRA. Patients with readmission had significantly worse disease-free survival than patients who had no readmission (NRA) (LRA 1.1 years, ERA 1.2 years, NRA 1.8 years, p = 0.002), and patients with LRA had worse median overall survival (2.1 years) than ERA patients (3.3 years) or patients without readmission (4.4 years) (p < 0.001).

Conclusions

Readmission following CRS-HIPEC is associated with adverse survival outcomes. In particular, LRA may portend worse prognosis than ERA.


Over the past two decades, cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) have gradually gained acceptance as a treatment option for selected patients with peritoneal surface-based malignancies secondary to gastrointestinal or gynecological primaries.13 Complete cytoreduction during CRS is one of the most important predictors of survival outcomes.4 Therefore, it is common for multivisceral resection to be performed during CRS to ensure eradication of all macroscopic disease.5 As a result, reported rates of postoperative morbidity following CRS-HIPEC range from 10 to 50%, and mortality from 1 to 6%.6,7

In addition to morbidity and mortality, another postoperative metric attracting interest in the literature is postoperative readmission (RA) rates. Hospital readmissions after cancer-related surgeries not only contribute to higher costs of care but may also be associated with poorer clinical outcomes. For colon cancer-related colectomies, 1-year mortality for patients with 30-day RA versus without RA was reported to be 16% versus 7%, respectively,8 and similar trends were reported for patients with 90-day RA after surgery for bladder, esophageal, lung, and pancreatic cancers.9 Thirty-day RA rates post CRS-HIPEC have been reported to be between 11 and 24%, indications for which include digestive complications, pain, infection, and venous thromboembolism.1013 Late RA occurring up to postoperative day 90 has been reported to occur at rates of up to 7.8–21%.14,15 Postoperative RA in patients who have undergone CRS-HIPEC not only poses a heavy financial burden on the healthcare system, but may also have significant implications for survival outcomes, as suggested by existing data on RA after other oncological surgeries.

Despite this, there is a paucity of data on predictors for hospital RA after CRS-HIPEC among the Asian population, and even fewer studies that evaluate its association with survival rates. To address these knowledge gaps, the aims of this study are to identify risk factors associated with early and late RA post CRS-HIPEC and their impact on oncologic outcomes.

Patients and Methods

Ethical approval from the SingHealth Centralised Institutional Review Board was obtained for the conduct of this retrospective cohort study. Data were retrieved from a prospectively maintained database of patients who had undergone CRS-HIPEC at National Cancer Centre Singapore.

Patient Selection

Patients were selected for CRS-HIPEC upon review and recommendation by a multidisciplinary tumor board discussion. All patients selected had Eastern Cooperative Group (ECOG) performance status of either 0 or 1 and no distant metastases as verified by either computed tomography (CT) scan or positron emission tomography (PET)-CT scan.

Patients who underwent CRS-HIPEC at our institution between April 2001 and September 2019 and were discharge from hospital were included in the study. Repeat CRS-HIPEC procedures of patients during the study period were excluded.

CRS-HIPEC

We previously described how CRS-HIPEC was performed at our institution.16 In brief, cytoreduction was performed as described by Sugarbaker.17 An intraperitoneal chemotherapy agent appropriate for the patient’s malignancy type was prescribed by the medical oncologist and administered intraoperatively via a hyperthermia pump into a closed abdomen at 41–42 °C for 60 min. The Peritoneal Cancer Index (PCI)17 was used to document the extent of peritoneal disease, while the completeness of cytoreduction (CC) score18 was recorded to quantify the extent of cytoreduction.

Postoperative Care

Following CRS-HIPEC, patients were typically monitored in the surgical intensive care unit (SICU) or high-dependency unit as deemed necessary by the primary surgeon and anesthetist. Postoperative complications were documented according to the Clavien–Dindo classification.19 Upon discharge, outpatient follow-up appointments were given at 1 week postdischarge, followed by a 1-month appointment, and thereafter 3-monthly appointments for 1 year, and 6-monthly appointments thereafter. Adjuvant chemotherapy was offered by medical oncologist as appropriate, and recurrences were documented.

Key Definitions

Patients were categorized into three readmission categories:

  1. Early readmission (ERA) was defined as the first unplanned (i.e., emergency, nonelective) hospitalization within 30 days (inclusive) post discharge from index CRS/HIPEC.

  2. Late readmission (LRA) was defined as hospitalization occurring from 31 to 90 days after discharge from index CRS/HIPEC.

  3. No readmission (NRA) was defined as no readmission within 90 days after discharge from index CRS-HIPEC.

Disease-free survival (DFS) was defined as duration between CRS-HIPEC and first recurrence or death from any cause, whichever occurred first, while overall survival (OS) was defined as duration between CRS-HIPEC and death from any cause.

Patients who did not experience the stated events for DFS and OS were censored at their last follow-up date.

Statistics

For analysis of time to ERA and time to LRA, NRA patients were censored at day 90 post discharge from index CRS-HIPEC. For analysis of time to ERA, LRA and NRA patients were censored at day 30 post discharge from index CRS-HIPEC.

Patient demographic, oncological, operative, and postoperative factors were compared between ERA, LRA, and NRA using Fisher’s exact test and Kruskal–Wallis test for categorical and continuous variables, respectively. Cumulative incidence rate of RA was derived based on one minus the Kaplan–Meier estimate of the survival function for time to RA. Univariate and multivariable Cox proportional hazard (PH) regression models were used to examine the association of various factors with time to ERA and time to LRA. Variables with univariate p < 0.05 were included in the multivariable model. PH assumption was verified based on Schoenfeld residuals.

Follow-up duration was measured from discharge from CRS-HIPEC until date of last follow-up and estimated using the inverse Kaplan–Meier method. DFS and OS were estimated using Kaplan–Meier method. Differences in DFS and OS between patients in the three RA groups were compared using log-rank test.

Two-sided p value < 0.05 was considered statistically significant. All analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC).

Results

Overall, 342 patients underwent CRS-HIPEC during the study duration. The demographics of the patients included in the study are summarized in Table 1. Our patient population had median age of 55 years, with ECOG status of 0 (87%) or 1 (12%). Colorectal cancer was the most common primary, accounting for nearly 40% of the cohort, followed by appendiceal cancer (25%), ovarian cancer (21%), and primary peritoneal disease (5%). Median PCI was 9, and after a median operative time of 495 min with median estimated blood loss of 1000 mL, CC-0 was achieved in 82% of cases, while CC-1 was achieved in 11%. Median length of hospitalization for CRS-HIPEC was 11 days (Table 2).

Table 1.

Demographics, clinical, and treatment characteristics

Total (N = 342) NRA (n = 259) ERA (n = 60) LRA (n = 23) p value
Demographic
 Age at CRS-HIPEC (years) 55 (14–79) 54 (22–79) 56 (25–76) 57 (14–74) 0.677
 Gender
  Female 237 (69.3) 179 (69.1) 44 (73.3) 14 (60.9) 0.537
  Male 105 (30.7) 80 (30.9) 16 (26.7) 9 (39.1)
 Ethnicity
  Chinese 256 (74.9) 187 (72.2) 49 (81.7) 20 (87.0) 0.482
  Malay 23 (6.7) 17 (6.6) 5 (8.3) 1 (4.3)
  Indian 16 (4.7) 15 (5.8) 1 (1.7) 0 (–)
  Other 47 (13.7) 40 (15.4) 5 (8.3) 2 (8.7)
Clinical
 ECOG performance status
  0 296 (86.5) 224 (86.5) 53 (88.3) 19 (82.6) 0.782
  1 41 (12.0) 30 (11.6) 7 (11.7) 4 (17.4)
  Missing 5 (1.5) 5 (1.9) 0 (–) 0 (–)
 Comorbidities
  Absent 124 (36.3) 97 (37.5) 20 (33.3) 7 (30.4) 0.766
  Present 218 (63.7) 162 (62.5) 40 (66.7) 16 (69.6)
 Type of comorbidities
  Hypertension 95 (27.8) 64 (24.7) 21 (35.0) 10 (43.5) 0.056
  Diabetes 42 (12.3) 30 (11.6) 10 (16.7) 2 (8.7) 0.514
  Hyperlipidemia 68 (19.9) 48 (18.5) 16 (26.7) 4 (17.4) 0.341
  Ischemic heart disease 9 (2.6) 7 (2.7) 2 (3.3) 0 (–) 0.827
  COPD 2 (0.6) 2 (0.8) 0 (–) 0 (–) 1.000
  Asthma 7 (2.0) 3 (1.2) 3 (5.0) 1 (4.3) 0.065
  Other malignancy 23 (6.7) 16 (6.2) 5 (8.3) 2 (8.7) 0.668
  Others 132 (38.6) 105 (40.5) 21 (35.0) 6 (26.1) 0.334
 Primary tumor site
  Colorectala 129 (37.7) 99 (38.2) 19 (31.7) 11 (47.8) 0.052
  Ovarianb 73 (21.3) 52 (20.1) 17 (28.3) 4 (17.4)
  Peritoneal 18 (5.3) 11 (4.2) 6 (10.0) 1 (4.3)
  Appendix 87 (25.4) 73 (28.2) 12 (20.0) 2 (8.7)
  Mesothelioma 13 (3.8) 7 (2.7) 4 (6.7) 2 (8.7)
  Others 22 (6.4) 17 (6.6) 2 (3.3) 3 (13.0)
 PCI score 9 (0–39) 8 (0–39) 13 (0–36) 14 (0–31) 0.088
  No. of patients with nonmissing data 310 235 54 21
 Ascites
  Absent 200 (58.5) 161 (62.2) 29 (48.3) 10 (43.5) 0.113
  Present 94 (27.5) 63 (24.3) 21 (35.0) 10 (43.5)
  Missing 48 (14.0) 35 (13.5) 10 (16.7) 3 (13.0)
Treatment
 CRS procedure
  Subdiaphragmatic stripping 125 (36.5) 88 (34.0) 27 (45.0) 10 (43.5) 0.201
  Gastrectomy 19 (5.6) 15 (5.8) 4 (6.7) 0 (–) 0.626
  Colectomy 110 (32.2) 79 (30.5) 24 (40.0) 7 (30.4) 0.370
  Small bowel resection 62 (18.1) 42 (16.2) 15 (25.0) 5 (21.7) 0.232
  Splenectomy 58 (17.0) 42 (16.2) 14 (23.3) 2 (8.7) 0.274
  THBSO 49 (14.3) 33 (12.7) 11 (18.3) 5 (21.7) 0.268
  Cholecystectomy 57 (16.7) 44 (17.0) 11 (18.3) 2 (8.7) 0.618
  Bladder resection 9 (2.6) 5 (1.9) 4 (6.7) 0 (–) 0.131
  Other procedure(s) 100 (29.2) 77 (29.7) 15 (25.0) 8 (34.8) 0.623
 HIPEC agent
  Cisplatin 109 (31.9) 74 (28.6) 25 (41.7) 10 (43.5) 0.090
  Mitomycin C 215 (62.9) 172 (66.4) 32 (53.3) 11 (47.8)
  Othersc 12 (3.5) 7 (2.7) 3 (5.0) 2 (8.7)
  Missing 6 (1.8) 6 (2.3) 0 (–) 0 (–)
Duration of CRS-HIPEC, mins 495 (245–1070) 475 (245–1070) 585 (285–1020) 500 (310–795) 0.016
  No. of patients with nonmissing data: 297 221 54 22
 CC score
  0 279 (81.6) 212 (81.9) 46 (76.7) 21 (91.3) 0.155
  1 36 (10.5) 26 (10.0) 10 (16.7) 0 (–)
  2 4 (1.2) 3 (1.2) 1 (1.7) 0 (–)
  3 1 (0.3) 0 (–) 1 (1.7) 0 (–)
  Missing 22 (6.4) 18 (6.9) 2 (3.3) 2 (8.7)
 Chest tube placement
  No 154 (45.0) 126 (48.6) 20 (33.3) 8 (34.8) 0.096
  Yes 175 (51.2) 122 (47.1) 39 (65.0) 14 (60.9)
  Missing 13 (3.8) 11 (4.2) 1 (1.7) 1 (4.3)
 Stoma creation
  No 238 (69.6) 190 (73.4) 36 (60.0) 12 (52.2) 0.020
  Yes 104 (30.4) 69 (26.6) 24 (40.0) 11 (47.8)
Estimated blood loss (ml) 1000 (0–11,000) 900 (0–11,000) 1000 (200–5100) 800 (0–3500) 0.439
  No. of patients with nonmissing data: 327 248 58 21
 Intraoperative blood transfusions
  No 110 (32.2) 90 (34.7) 13 (21.7) 7 (30.4) 0.236
  Yes 224 (65.5) 163 (62.9) 46 (76.7) 15 (65.2)
  Missing 8 (2.3) 6 (2.3) 1 (1.7) 1 (4.3)

NRA No readmission, ERA Early readmission, LRA Late readmission, CRS Cytoreduction surgery, HIPEC Hyperthermic intraperitoneal chemotherapy, ECOG Eastern Cooperative Oncology Group, COPD Chronic obstructive pulmonary disease, PCI Peritoneal cancer index, THBSO Total abdominal hysterectomy with bilateral salpingo-oophorectomy, CC Completeness of cytoreduction

Data presented as median (range) if variable is continuous, and number (%) if variable is categorical

p value based on Kruskal–Wallis test for continuous variable and Fisher’s exact test for categorical variable

aIncluded one patient who had an additional primary tumor in endometrium

bIncluded one patient who had an additional primary gastric tumor

cIncluded doxorubicin, oxaliplatin, and fluorouracil

Table 2.

Postoperative characteristics and recurrence

Total (N = 342) NRA (n = 259) ERA (n = 60) LRA (n = 23) p value
Postoperative complications
 No 145 (42.4) 122 (47.1) 15 (25.0) 8 (34.8) 0.006
 Yes 197 (57.6) 137 (52.9) 45 (75.0) 15 (65.2)
Worst grade of postoperative complications
 No complication 145 (42.4) 122 (47.1) 15 (25.0) 8 (34.8) < 0.001
 G1 48 (14.0) 37 (14.3) 7 (11.7) 4 (17.4)
 G2 92 (26.9) 69 (26.6) 17 (28.3) 6 (26.1)
 G3 44 (12.9) 20 (7.7) 19 (31.7) 5 (21.7)
 G4 13 (3.8) 11 (4.2) 2 (3.3) 0 (–)
Length of SICU stay (days) 0 (0–40) 0 (0–40) 1 (0–5) 1 (0–3) 0.015
 No. of patients with nonmissing data 341 258 60 23
Length of hospital stay (days) 11 (5–141) 11 (5–141) 14 (7–66) 13 (8–86) 0.001
No. of recurred patients 163 116 32 15
Site of relapse among recurred patients:
 Peritoneum 110 (67.5) 82 (70.7) 18 (56.3) 10 (66.7) 0.293
 Lymph nodes 36 (22.1) 22 (19.0) 11 (34.4) 3 (20.0) 0.181
 Lung 38 (23.3) 29 (25.0) 5 (15.6) 4 (26.7) 0.490
 Liver 36 (22.1) 22 (19.0) 9 (28.1) 5 (33.3) 0.249
 Bone 7 (4.3) 4 (3.4) 0 (–) 3 (20.0) 0.016
 Skin 0 (–) 0 (–) 0 (–) 0 (–)
 Others 40 (24.5) 28 (24.1) 5 (15.6) 7 (46.7) 0.083

NRA No readmission, ERA Early readmission, LRA Late readmission, SICU Surgical intensive care unit

Data presented as median (range) if variable is continuous, and number (%) if variable is categorical

p value based on Kruskal–Wallis test for continuous variable and Fisher’s exact test for categorical variable

Sixty patients had ERA, 23 had LRA, and 259 had NRA within 90 days post discharge from CRS-HIPEC. Median time to ERA and LRA was 8 and 51 days, respectively.

Median age between RA groups was comparable, as was the distribution of ECOG status. Ovarian (ERA 28% versus LRA 17%), appendiceal (ERA 20% versus LRA 9%), and peritoneal (ERA 10% versus LRA 4.3%) primaries were more common in ERA group, while colorectal primary was more common is LRA group (LRA 48% versus ERA 32%), but these differences in distribution did not reach statistical significance. Median PCI score was comparable between RA groups, and CC-0 score was achieved in 77% of LRA group and 91% of ERA group (p = 0.155). The most common cytoreductive procedure performed across both readmission groups was subdiaphragmatic stripping, followed by colectomy and small bowel resection.

Causes of Readmission Following CRS-HIPEC

The majority (46%) of RA were due to gastrointestinal complaints, such as abdominal pain, bloatedness, nausea, and vomiting (Table 3). A total of 15% of RA were a result of stoma-related complications (e.g., high stoma output), and 8% from superficial wound infections. Although there was a higher percentage of LRA patients (26%) with stoma-related readmission compared with ERA patients (10%), on balance reasons for RA were similar between these two groups (p = 0.450).

Table 3.

Readmission characteristics

Total (N = 83) ERA (n = 60) LRA (n = 23) p value
Readmission reason
GI symptoms 38 (45.8) 29 (48.3) 9 (39.1) 0.450
Wound infection 7 (8.4) 5 (8.3) 2 (8.7)
Other infection 4 (4.8) 3 (5.0) 1 (4.3)
Stoma related 12 (14.5) 6 (10.0) 6 (26.1)
Others 22 (26.5) 17 (28.3) 5 (21.7)
Death within 30 days of readmission
Excluding alive patients with < 30 days follow-up: 82 60 22
No 81 (98.8) 59 (98.3) 22 (100) 1.000
Yes 1 (1.2) 1 (1.7) 0 (–)

ERA Early readmission, LRA Late readmission

Data presented as number (%)

p value based on Fisher’s exact test

Factors Affecting Readmissions Following CRS-HIPEC

Comparison of operative and postoperative variables showed that, compared with the NRA and LRA groups, patients with ERA had the longest duration of CRS-HIPEC [median 475 min (NRA) versus 500 min (LRA) versus 585 min (ERA); p = 0.016], highest percentage with grade III–IV postoperative complication [12% (NRA) versus 22% (LRA) versus 35% (ERA); p < 0.001] and longest index hospital admission for CRS-HIPEC [median 11 days (NRA) versus 13 days (LRA) versus 14 days (ERA); p = 0.001] (Tables 1 and 2).

There were significantly more patients who had stoma created at index CRS-HIPEC among LRA group (48%) than ERA (40%) or NRA (27%) (p = 0.020). Demographic and oncological variables showed no significant difference between the three readmission groups (Table 1).

Univariate Cox regression analysis identified eight significant predictors for ERA: PCI score, intraoperative bladder resection, intraoperative chest tube placement, duration of CRS-HIPEC, CC score, intraoperative blood transfusion, duration of hospital stay, and high-grade postoperative complication (grade III–IV). On multivariate analysis, only high-grade postoperative complication continued to be significant (HR 3.64, 95% CI 1.47–9.02; relative to no complications) (Table 4). For LRA, the variables significant on univariate analysis, which also remained significant on multivariate analysis, were presence of hypertension (HR 2.71, 95% CI 1.17–6.28) and stoma creation (HR 2.83, 95% CI 1.23–6.50) (Table 5).

Table 4.

Predictors of early readmission

Univariate Cox Multivariable Cox
HR (95% CI) p value HR (95% CI) p value
Age at CRS-HIPEC (per year increase) 1.01 (0.98–1.03) 0.612
Gender: male versus female 0.79 (0.45–1.40) 0.424
Ethnicity: Malay versus Chinese 1.32 (0.53–3.31) 0.554
Ethnicity: Indian versus Chinese 0.39 (0.05–2.81) 0.350
Ethnicity: others versus Chinese 0.54 (0.21–1.35) 0.184
ECOG performance status: 1 versus 0 1.00 (0.46–2.20) 0.998
Comorbidities: absent versus present 0.83 (0.48–1.42) 0.489
Hypertension: yes versus no 1.48 (0.87–2.52) 0.148
Diabetes: yes versus no 1.61 (0.82–3.17) 0.171
Hyperlipidemia: yes versus no 1.47 (0.83–2.61) 0.186
Ischemic heart disease: yes versus no 1.29 (0.31–5.27) 0.726
COPD: yes versus no UD 0.985
Asthma: yes versus no 3.07 (0.96–9.81) 0.058
Other malignancy: yes versus no 1.42 (0.57–3.54) 0.456
Other comorbidities: yes versus no 0.86 (0.50–1.45) 0.563
Tumor site: ovarian versus colorectal 1.67 (0.87–3.21) 0.125
Tumor site: peritoneal versus colorectal 2.38 (0.95–5.95) 0.065
Tumor site: appendix versus colorectal 0.98 (0.48–2.02) 0.952
Tumor site: mesothelioma versus colorectal 2.44 (0.83–7.19) 0.105
Tumor site: others versus colorectal 0.58 (0.14–2.49) 0.464
PCI score (per unit increase) 1.03 (1.00–1.06) 0.038 0.98 (0.94–1.03) 0.446
Had ascites: yes versus no 1.64 (0.93–2.87) 0.086
Subdiaphragmatic stripping: yes versus no 1.49 (0.89–2.47) 0.128
Gastrectomy: yes versus no 1.21 (0.44–3.34) 0.712
Colectomy: yes versus no 1.52 (0.91–2.55)a 0.111
Small bowel resection: yes versus no 1.56 (0.87–2.80) 0.136
Splenectomy: yes versus no 1.53 (0.84–2.78) 0.166
THBSO: yes versus no 1.47 (0.77–2.83) 0.247
Cholecystectomy: yes versus no 1.17 (0.61–2.25) 0.638
Bladder resection: yes versus no 2.99 (1.08–8.24) 0.035 Noteb
Other CRS procedure(s): yes versus no 0.77 (0.43–1.39) 0.389
HIPEC agent: mitomycin C versus cisplatin 0.64 (0.38–1.08) 0.093
HIPEC agent: others versus cisplatin 1.14 (0.34–3.77) 0.832
Duration of CRS-HIPEC (per 10min increase) 1.02 (1.01–1.04) 0.007 1.01 (0.98–1.04) 0.528
CC score: ≥1 versus 0 1.99 (1.06–3.76) 0.034 1.49 (0.59–3.80) 0.401
Chest tube placement: yes versus no 1.88 (1.10–3.22) 0.022 1.12 (0.53–2.38) 0.767
Stoma creation: yes versus no 1.65 (0.99–2.77) 0.056
Blood loss (per 100-ml increase) 1.01 (0.99–1.03) 0.425
Intraoperative blood transfusion: yes versus no 1.86 (1.00–3.44) 0.049 1.36 (0.61–3.06) 0.450
Postoperative complication: G1–G2 versus none 1.72 (0.90–3.29) 0.098 1.86 (0.89–3.89) 0.098
Postoperative complication: G3–G4 versus none 4.49 (2.31–8.71) < 0.001 3.64 (1.47–9.02) 0.005
Length of SICU stay (per day increase) 1.00 (0.94–1.08) 0.917
Length of hospital stay (per day increase) 1.01 (1.00–1.03) 0.028 1.00 (0.97–1.02) 0.758

HR Hazard ratio, CI Confidence interval, CRS Cytoreduction surgery, HIPEC Hyperthermic intraperitoneal chemotherapy, ECOG Eastern Cooperative Oncology Group, COPD Chronic obstructive pulmonary disease, PCI Peritoneal cancer index, THBSO Total abdominal hysterectomy with bilateral salpingo-oophorectomy, CC Completeness of cytoreduction, SICU Surgical intensive care unit, UD No event in one of the categories

p value based on Wald’s test

aViolated PH assumption

bExcluded from model due to small sample size

Table 5.

Predictors of late readmission

Univariate Cox Multivariable Cox
HR (95% CI) p value HR (95% CI) p value
Age at CRS-HIPEC (per year increase) 1.00 (0.97–1.04) 0.888
Gender: male versus female 1.34 (0.58–3.08) 0.499
Ethnicity: Malay versus Chinese 0.66 (0.09–4.92) 0.686
Ethnicity: Indian versus Chinese UD 0.990
Ethnicity: others versus Chinese 0.46 (0.11–1.98) 0.299
ECOG performance status: 1 versus 0 1.85 (0.63–5.44) 0.263
Comorbidities: absent versus present 0.69 (0.28–1.68) 0.415
Hypertension: yes versus no 2.28 (1.00–5.21) 0.050 2.71 (1.17–6.28) 0.020
Diabetes: yes versus no 0.81 (0.19–3.47) 0.779
Hyperlipidemia: yes versus no 0.90 (0.31–2.64) 0.843
Ischemic heart disease: yes versus no UD 0.992
COPD: yes versus no UD 0.990
Asthma: yes versus no 4.60 (0.62–34.12) 0.136
Other malignancy: yes versus no 1.46 (0.34–6.22) 0.610
Other comorbidities: yes versus no 0.53 (0.21–1.36) 0.187
Tumor site: ovarian versus colorectal 0.76 (0.24–2.39) 0.638
Tumor site: peritoneal versus colorectal 0.81 (0.11–6.29) 0.841
Tumor site: appendix versus colorectal 0.26 (0.06–1.17) 0.079
Tumor site: mesothelioma versus colorectal 2.24 (0.50–10.10) 0.295
Tumor site: others versus colorectal 1.43 (0.40–5.11) 0.587
PCI score (per unit increase) 1.01 (0.97–1.06) 0.646
Had ascites: yes versus no 2.36 (0.98–5.66)a 0.055
Subdiaphragmatic stripping: yes versus no 1.41 (0.62–3.21) 0.419
Gastrectomy: yes versus no UD 0.988
Colectomy: yes versus no 0.99 (0.41–2.41) 0.988
Small bowel resection: yes versus no 1.38 (0.51–3.71) 0.528
Splenectomy: yes versus no 0.45 (0.11–1.91) 0.278
THBSO: yes versus no 1.86 (0.69–5.00) 0.222
Cholecystectomy: yes versus no 0.46 (0.11–1.96) 0.294
Bladder resection: yes versus no UD 0.989
Other CRS procedure(s): yes versus no 1.17 (0.50–2.76) 0.721
HIPEC agent: mitomycin C versus cisplatin 0.48 (0.20–1.13) 0.093
HIPEC agent: others versus cisplatin 1.67 (0.37–7.62) 0.508
Duration of CRS-HIPEC (per 10-min increase) 1.01 (0.98–1.04) 0.469
CC score: ≥ 1 versus 0 UD 0.990
Chest tube placement: yes versus no 1.81 (0.76–4.32) 0.181
Stoma creation: yes versus no 2.41 (1.06–5.46) 0.035 2.83 (1.23–6.50) 0.015
Blood loss (per 100-ml increase) 0.99 (0.95–1.04) 0.730
Intraoperative blood transfusion: yes versus no 1.16 (0.47–2.85) 0.743
Postoperative complication: G1–G2 versus none 1.38 (0.54–3.49) 0.500
Postoperative complication: G3–G4 versus none 2.42 (0.79–7.39) 0.122
Length of SICU stay (per day increase) 0.96 (0.79–1.15) 0.631
Length of hospital stay (per day increase) 1.01 (0.99–1.03) 0.194

HR hazard ratio, CI confidence interval, CRS cytoreduction surgery, HIPEC hyperthermic intraperitoneal chemotherapy, ECOG Eastern Cooperative Oncology Group, COPD chronic obstructive pulmonary disease, PCI peritoneal cancer index, THBSO total abdominal hysterectomy with bilateral salpingo-oophorectomy, CC completeness of cytoreduction, SICU surgical intensive care unit, UD no event in one of the categories

p value based on Wald’s test

aViolated PH assumption

Relationship Between Readmission and Survival Outcomes

The median follow-up of NRA, ERA, and LRA groups was 2.0, 4.5, and 1.9 years, respectively.

Disease-Free Survival

Patients with readmission had significantly worse DFS than NRA patients (Fig. 1). Median DFS was 1.1 years (95% CI 0.4–1.8 years) for LRA patients and 1.2 years (95% CI 0.6–1.8 years) for ERA patients, both being lower than the corresponding 1.8 years (95% CI 1.4–2.2 years) for NRA patients (p = 0.002; Table 6, Fig. 1a).

Fig. 1.

Fig. 1.

Kaplan–Meier curves of a DFS and b OS stratified by ERA, LRA, and NRA

Table 6.

Survival outcomes

Total (N = 342) NRA (n = 259) ERA (n = 60) LRA (n = 23) p value*
Follow-up duration (years)
Median (95% CI) 2.1 (1.7–2.3) 2.0 (1.5–2.2) 4.5 (1.8–9.0) 1.9 (0.8–NE) 0.003
Disease-free survival (DFS)
No. of recurrences/deaths 190 128 43 19 0.002
Median DFS, years (95% CI) 1.6 (1.3–1.9) 1.8 (1.4–2.2) 1.2 (0.6–1.8) 1.1 (0.4–1.8)
6-Month DFS, % (95% CI) 82.7 (78.0–86.5) 88.8 (83.9–92.3) 64.0 (50.3–74.8) 69.6 (46.6–84.2)
1-Year DFS, % (95% CI) 65.5 (59.7–70.7) 68.7 (61.9–74.6) 58.4 (44.6–69.9) 50.6 (28.6–69.0)
2-Year DFS, % (95% CI) 41.4 (35.1–47.7) 48.1 (40.4–55.3) 28.0 (16.2–41.1) 14.2 (2.6–35.1)
Overall survival (OS)
No. of deaths 120 73 33 14 < 0.001
Median OS, years (95% CI) 3.9 (3.2–5.4) 4.4 (3.5–6.0) 3.3 (1.8–5.9) 2.1 (1.0–3.6)
1-Year OS, % (95% CI) 90.7 (86.7–93.5) 95.8 (92.0–97.8) 75.1 (61.6–84.5) 78.6 (52.0–91.5)
2-Year OS, % (95% CI) 77.8 (71.9–82.6) 83.6 (77.0–88.5) 64.1 (49.4–75.6) 54.4 (28.8–74.2)

NE not estimable

*Based on log-rank test

Numbers in bold based on small no. of patients at risk

Overall Survival

LRA patients had worst median OS (2.1 years, 95% CI 1.0–3.6 years), followed by ERA patients (3.3 years, 95% CI 1.8–5.9 years) and NRA patients (4.4 years, 95% CI 3.5–6.0 years) (p < 0.001; Table 6; Fig. 1b).

Discussion

Internationally, reported rates of postoperative readmission after CRS-HIPEC range from 14.8 to 15.9% for ERA and from 3.9 to 11% for LRA.11,15,20 Known predictors include older age, number of previous surgical procedures, postoperative complications, and length of index hospitalization.10 Lee et al. went on to the compare the differences in predictors for RA at 30 versus 31–90 days. ECOG of 3 or more, intraoperative splenectomy, low anterior resection, partial colectomy, and stoma creation were independent predictors of 30-day RA, while gastric tumor, operative time, intraoperative low anterior resection or partial colectomy, and stoma creation were predictors for 31–90-day RA.11 Beyond 90 days, age and intraoperative colonic resection have been reported as the only independent risk factors for 6-month readmission.21 In our study cohort, we found similar rates of early and late readmission of 18.5% and 7.4%, respectively, with a majority of RA occurring within 2 weeks post discharge. Only high-grade postoperative complications, stoma creation, and hypertension predicted ERA and LRA. In our study population, 57 patients (16.7%) had high-grade complications, and 21 of these patients had ERA. In contrast, 176 patients (51.5%) had risk factors for LRA, including those with both hypertension and stoma creation, hypertension only, and stoma creation only. Compared with patients with no LRA risk factors, risk of LRA was highest amongst patients with both hypertension and stoma creation (HR = 7.67, n = 23 [6.7%]), followed by patients with stoma creation only [HR = 2.83, n = 81 (23.7%)] and patients with hypertension only [HR = 2.71, n = 72 (21.1%)], with our Cox model suggesting that these two risk factors have a multiplicative effect in predisposing patients to late readmission.

Postoperative readmission has been reported to be related to adverse survival outcomes in patients who had undergone surgery for cancers of various organs, such as brain, pancreas, esophagus, and stomach.2225 Proposed contributors to this correlation include postoperative complications, infection, and metastatic disease.24,25 Others have also reported that readmission within 30 days of surgery is associated with delay in postoperative chemotherapy, which in turn is associated with poorer DFS and OS.26 In the context of post-pancreatic-cancer surgery, Reddy et al. reported that, compared with NRA, 0–30-day readmissions had lower median OS but comparable 5-year survival. Meanwhile 30–365-day readmissions had both lower median as well as 5-year survival compared with those without 30–365-day readmission.23 These findings suggested that, if the patients who required ERA survive the first few years following the index operation, their long-term outcome is comparable to those who had no readmission, whereas patients who required LRA have worse long-term outcomes regardless. We found that ERA and LRA patients had comparable median DFS, though significantly lower than NRA. Overall survival was worst amongst LRA, followed by ERA and NRA.

To the best of the authors’ knowledge, this study is the first to compare survival outcomes in ERA, LRA, and NRA patients post CRS-HIPEC. Unfortunately, for our study, the median follow-up duration was not long enough to comment on 5-year survival outcomes. However, the survival curves at the 5-year mark seem to resonate the survival patterns reported by Reddy et al. The exact reason for these patterns of survival outcomes lies beyond the scope of this study. However, in broad conceptual terms, it may be reasonable to speculate that, post CRS-HIPEC, ERA is associated with potentially significant yet reversible causes, while LRA involves both significant and irreversible pathologies.

The adverse effect of postoperative morbidity on survival outcomes has been reported in literature for both oncological and nononcological surgeries.2729 In the past, our center has also reported the association of high-grade complications with poor OS among post CRS-HIPEC patients; the 5-year OS rate of patients who experienced no postoperative, low-grade, and high-grade complications was found to be 52.8%, 37.0%, and 43.0%, respectively.30 As the results of the current study also show that high-grade morbidity is the sole independent risk factor for early readmission, it would be reasonable to infer that postoperative morbidity contributes to the association of ERA with poor survival outcomes.

Up to 30% of our CRS-HIPEC patients required stoma creation, a majority of which were defunctioning ileostomies for colorectal resection. Furthermore, intraoperative stoma creation was found to be a significant predictor of LRA, which was in turn associated with poorer survival outcomes. In patients with primary colorectal malignancies without peritoneal disease, post-stoma readmissions are known to be common and often occur within 30 days of discharge.3133 Common early complications after stoma creation include skin irritation, pain, stoma retraction, and necrosis, while later in the clinical course, stoma patients may experience parastomal hernia, prolapse, stenosis, high output, and nutritional deficiencies.34,35 Our analysis of stoma formation in the setting of CRS-HIPEC found there was a greater percentage of stoma patients among the LRA than ERA group, from which we can cautiously infer that, for post CRS-HIPEC readmissions, stoma creation and its late complications may play a greater role in predisposing a patient to LRA. A small subgroup analysis of the 12 patients who were readmitted for stoma-related reasons showed that the vast majority of ERA was due to high stoma output (83%), while for LRA only 50% presented with high stoma output and complications related to stoma reversal accounted for a sizable proportion (33%). However, these figures are limited by small sample size, and a detailed analysis of stoma type, timing of reversal, related complications, and their association with readmissions and survival requires further investigation.

Based on the association of unplanned readmission with adverse survival outcomes seen in our results, future studies should investigate interventions that may reduce readmission and hence improve survival. One such intervention aimed to reduce LRA may include vigilant patient education and follow-up for those who have stoma creation during CRS-HIPEC, with special attention to known late complications such as parastomal herniations or post reversal strictures, infections, or anastomotic leak/breakdown. As our study also found that nearly half of all readmissions occurred within the first 15 days post discharge, with the majority presenting with gastrointestinal symptoms, it would be prudent to investigate whether early postoperative intervention with comprehensive discharge planning that includes appropriate discharge advice, streamlined wound care, dietician review, and close follow-up within the first month may help to off-load the high rates of ERA and provide survival benefits.

The retrospective design and relatively small number in this study may have resulted in selection bias and failure to elucidate other factors that may contribute to the differences in survival outcomes seen in the respective readmission groups. Longer follow-up may be required to further identify factors affecting long-term survival outcomes in our study population.

Conclusions

In this study conducted at the largest CRS-HIPEC center in Southeast Asia, unplanned postoperative readmission occurred at a rate of 18.5% for 30 days post discharge and 7.4% for 31–90 days. Unique sets of independent predictors were identified for these two readmission types: high-grade postoperative complication was a predictor of ERA, while stoma creation and hypertension were predictors for LRA. In addition, there were worse survival outcomes for patients with LRA as compared with ERA and NRA. Future studies may need to explore the association of poor survival with readmissions, to better identify effective measures to minimize unplanned hospitalizations post CRS-HIPEC.

Acknowledgment

This study is funded by NCCS Cancer Fund. C.-A.J.O. is supported by the National Research Council Transition Award (NMRC/TA/0061/2017).

Disclosures

None.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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