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. 2023 Jan 17;408(1):34.
doi: 10.1007/s00423-023-02770-2.

Intraoperative metabolic changes associated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

Affiliations

Intraoperative metabolic changes associated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

Jesús David Rubio-López et al. Langenbecks Arch Surg. .

Erratum in

Abstract

Background: Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) causes considerable hemodynamic, respiratory, and metabolic changes during the perioperative period.

Objectives: To evaluate metabolic changes associated with this procedure. Understanding perioperative factors and their association with morbidity may improve the perioperative management of patients undergoing this treatment.

Methods: A retrospective review of a prospectively maintained database was performed. All consecutive unselected patients who underwent CRS plus HIPEC between January 2018 and December 2020 (n = 219) were included.

Results: The mean age was 58 ± 11.7 years and 167 (76.3%) were female. The most frequent histology diagnosis was serous ovarian carcinoma 49.3% (n = 108) and colon carcinoma 36.1% (n = 79). Mean peritoneal cancer index was 14.07 ± 10.47. There were significant variations in pH, lactic acid, sodium, potassium, glycemia, bicarbonate, excess bases, and temperature (p < 0.05) between the pre-HIPEC and post-HIPEC periods. The closed HIPEC technique resulted in higher levels of temperature than the open technique (p < 0.05). Age, potassium level post-HIPEC potassium level, and pre-HIPEC glycemia were identified as prognostic factors for morbidity in multivariate analysis.

Conclusion: The administration of HIPEC after CRS causes significant changes in internal homeostasis. Although the closed technique causes a greater increase in temperature, it is not related to higher morbidity rates. The patient's age, post-HIPEC potassium level, and pre-HIPEC glycemia are predictive factors for morbidity.

Keywords: Anesthesia; HIPEC; Perioperative management; Peritoneal carcinomatosis.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Comparative graph of means and standard deviation of metabolic parameters and temperature before HIPEC versus after HIPEC. A pH pre-HIPEC (7.34 ± 0.06) and post-HIPEC (7.32 ± 0.079 (p < 0.05). B Lactic acid (mmol/L) pre-HIPEC (1.68 ± 1.24) and post-HIPEC (3.72 ± 1.94) (p < 0.05). C Sodium (mEq/L) pre-HIPEC (138.08 ± 2.72) and post-HIPEC (137.68 ± 3.02) (p < 0.05). D Potassium (mEq/L) pre-HIPEC (3.57 ± 0.5) and post-HIPEC (3.28 ± 0.42) (p < 0.05). E Glycemia (mg/dL) pre-HIPEC (149.4 ± 44.79) and post-HIPEC (227.5 ± 50.16) (p < 0.05). F Bicarbonate (mmol/L) pre-HIPEC (23.25 ± 2.75) and post-HIPEC (21.3 ± 2.94) (p < 0.05). G Bases excess (mEq/L) pre-HIPEC (− 2.42 ±  − 3.10) and post-HIPEC (− 4.49 ± 3.49) (p < 0.05). H Temperature (°C) pre-HIPEC (35.47 ± 0.83) and post-HIPEC (37.80 ± 0.79) (p < 0.05)
Fig. 2
Fig. 2
ROC curve for early complications. Area under the ROC curve = 0.718 (95% CI = 0.624 to 0.811). We observed that in almost 72% of all possible pairs of subjects in which one has early major complications and the other does not, the model will assign a higher probability to the subject with early major complications. The resulting logistic equation is Z = logit (p) =  − 9.780 + age * 0.045 + 1.238 * potassium_posHIPEC + 0.012 * glycemia_preHIPEC

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