Skip to main content

ORIGINAL RESEARCH article

Front. Vet. Sci., 17 March 2022
Sec. Veterinary Emergency and Critical Care Medicine
Volume 9 - 2022 | https://doi.org/10.3389/fvets.2022.802186

The Effect of Different Opioids on Acid-Base Balance and Blood Gas Analysis in Hospitalized Dogs

  • 1Department of Veterinary Sciences, University of Parma, Parma, Italy
  • 2Department of Medicine and Surgery, University of Parma, Parma, Italy

Pain management is central to veterinary practice, contributing to successful case outcomes and enhancement of the veterinarian-client-patient relationship. Analgesic drugs represent one of the pillars of the multimodal approach to acute and chronic pain management. In dogs, the most used opioids are methadone, buprenorphine and tramadol. Several episodes of hypoglycemia in people treated with tramadol and methadone have recently been described. The aim of this work is to evaluate the changes in the glycemic and acid-base balance induced by tramadol, methadone and buprenorphine in hospitalized dogs. A retrospective review of the medical records of dogs hospitalized for both medical and surgical reasons was performed. During 2018-2020, a total of 876 canine patients were treated with opioids, including 228 with tramadol, 273 with methadone and 375 with buprenorphine. Of all these dogs, only a small percentage met the inclusion criteria presented in the initial design. All the hospitalized animals were monitored daily through clinical examination and blood sampling. Blood samples were obtained before opioid administration (T0), and 24 h (T1) and 48 h (T2) after °pioid administration. The following parameters were evaluated: blood gas value (pH, pCO2), acid-base state (cHCO3), oxymetric values (ctHb, haematocrit), electrolyte values (K+, Na+, iCa, Cl-) and metabolic values (glucose, lactate, anion GAP K+c). The glycemic value in enrolled dogs showed a decrease over time, regardless of the type of opioid used, but remained within the physiological range. The highest average glycemic drop was recorded for methadone, between T0 and T1, followed by tramadol between T1 and T2, while buprenorphine recorded the highest overall glycemic drop between T0-T2 when compared to the other two opioids. Female dogs showed the greatest drop in glycemic value. Lactate concentration always presented values beyond the physiological range at an early stage, which then normalized quickly. Measurement of electrolyte concentrations showed a consistent increase in the values of iCa, Na and Cl. In hospitalized dogs treated with opioids monitoring of gas analytic parameters is important and more attention should be paid to patients hospitalized with certain metabolic and endocrine diseases.

Introduction

Pain management is central to veterinary practice, contributing to successful case outcomes and enhancement of the veterinarian-client-patient relationship, and various guidelines for dogs and cats have been developed in recent years (1, 2). Pain management in hospitalized dogs is a major concern and influences recovery time, quality of life, and surgical outcome (3). In particular, postoperative pain produces undesirable effect such as loss of appetite, self-trauma, maladaptive physiological responses or maladaptive behaviors, which prolong the recovery time (4).

Analgesic drugs represent one of the pillars of the multimodal approach to acute and chronic pain management, and postoperative pain assessment involves the use of opioids. Opioids are drugs that have opiate-like activities and are usually divided into four groups: full agonist, agonist-antagonist, partial agonist, and antagonists (1).

In dogs, the opioids most often used are methadone, buprenorphine and tramadol (3, 5). These opioids are metabolized in the liver through various enzyme pathways and even buprenorphine is deemed to be an effective agent for detoxification from opioids (6). Methadone is a potent synthetic opiate drug belonging to the group of full agonists. It has agonist affinity for both the μ and ∂ opioid receptors, it acts as an inhibitor at the presynaptic N-methyl-D-aspartate (NMDA) receptors, and it blocks the reuptake of noradrenaline and serotonine in the periaqueductal gray matter (7). Buprenorphine is a semi-synthetic opioid, partial agonist of μ opioid receptors, and is also a potent antagonist of k receptors.

Both are highly lipophilic and highly bound to plasma proteins, predominantly a glycoprotein, that is an acute reactive protein fluctuating according to several clinical conditions and concomitant drugs (8). Among the atypical centrally-acting opioids is tramadol hydrochloride, a synthetic 4-phenyl-piperidine analog of codeine but with reduced respiratory effects. Tramadol is an agonist for the μ receptors, μ opioid receptors and noradrenergic and serotoninergic systems receptors that increase serotonin release and inhibit norepinephrine reuptake (9, 10).

Opioids can produce reversible behavioral and physiological side effects in dogs (11). Patients receiving pain management must be monitored via re-examination and laboratory testing at prescribed intervals to assess for efficacy and adverse events (2). It is well known that prolonged use of opioids in human and laboratory animals may result in adverse consequences, including significant metabolic, neuroendocrine and immune effects (12, 13). Not all opioids have similar effects. Methadone did not affect the tested immune parameters, tramadol enhances NK cell activity, lymphocyte proliferation, and IL-2 release compared to morphine, while buprenorphine doesn't show any effects on the immune response compared to morphine (14). In dogs, opioid-mediated adverse effects include restlessness, dizziness headache, unsteady gait, reduced spontaneous activity, hypotension, miosis, salivation, vomiting, constipation, urinary retention, itchiness, dry mouth (15). As consequence of this, clinical parameters and pain scales, in association serum values (for instance, glucose), may provide important information about different pain conditions and proposed treatments in dogs (16).

Recently, several episodes of hypoglycemia in people treated with tramadol (1726) and methadone (5, 2732) have been described.

The aim of this work is to evaluate the changes in the glycemic and acid-base balance induced by tramadol, methadone and buprenorphine in hospitalized dogs.

Materials and Methods

Design

A retrospective review of the medical records of dogs, hospitalized for both medical and surgical reasons, at Veterinary University Hospital (VUH) of Dept. of Veterinary Medical Sciences - University of Parma between January 2018 and December 2020 was performed.

The study protocol was approved by the Ethics Committee for Animal Experimentation (PROT.94 N.14/CESA /2021).

Inclusion criteria for the study were: being hospitalized for at least 3 days; undergoing monotherapy with one of the following opioids: tramadol, methadone or buprenorphine; receiving analytical blood gas examination at admission, before opioid administration (T0), and 24 h (T1) and 48 h after opioid administration (T2) and receiving the same food during the hospitalization (Intestinal Exclusion® – Dorado srl, Monsole di Cona, Venice - Italy). Surgical patients must have received the same anesthesiological protocol consisting of premedication with midazolam (Midazolam, B.Braun, Melsungen, Germany) + dexmedetomidine (Dexdomitor®, Orion Corporation, Finland), induction with propofol (Proposure®, Boehringer Ingelheim Animal Health Italy, Milan - Italy) and maintenance with isofluorane 2%. Intraoperative analgesia must have been provided with fentanyl (Fentadon®, Dechra Veterinary Products, Turin - Italy).

Exclusion criteria were as follows: diseases that could interfere with blood glucose (diabetes mellitus, hyperadrenocorticism, pheochromocytoma, epilepsy, pancreatitis, acute hepatitis, neoplasms, systemic inflammatory response syndrome and sepsis), diester in the bitch, receiving corticosteroids or glucose infusions during hospitalization and previous opioid treatment within the past 30 days. Information recorded included signalment, body weight, medical therapy prior hospitalization, clinical presentation, physical examination findings, reason for hospitalization and details of any previous surgeries.

A control group (no analgesic treatment) was not included in this study because it is considered unethical.

Data Collection

All the hospitalized animals were monitored daily through clinical examination and blood sampling. Blood sampling was carried out from the jugular vein in animals fasted for 8 hours between 07:00 and 8:00 a.m. The blood sample was placed in a tube containing lithium heparin and blood gas analysis (ABL 800 Flex Radiometer, Denmark) was performed within 10 minutes for the evaluation of the following parameters:

• Blood gas values: pH [7.350–7.450], pCO2 [33.6–41.2 mmHg].

• Acid-base state: cHCO3 [20.8–24.2 mmol/L].

• Oxymetric values: hemoglobin [ctHb 13.9–19.0 mg/dL], haematocrit [Hct 39.0–54.0%].

• Electrolyte values: potassium [K+ 4.1–5.3 mEq/L], sodium [Na+ 145–154 mEq/L], ionized calcium [iCa2+ 1.29–1.40 mmol/L], chloride [Cl- 105–116 mEq/L].

• Metabolic values: glucose [Glu 85–125 mg/dl], lactate [Lac 0.6–1.9 mmol/L], anion GAP K+, c [13–22 mmol/L].

• Hospitalized dogs were treated with fluid therapy with Ringer's lactate and opioid drugs to counter post-operative pain. They were treated with either tramadol at a dose of 3 mg/kg intravenous (IV) TID (Altadol®, Formavet srl, Milan - Italy), methadone at a dose of 0.2 mg/kg IV q 4 h (Semfortan®, Dechra Veterinary Products, Turin - Italy), or buprenorphine at a dose of 10 ug/kg IV TID (Buprenodale®, Dechra Veterinary Products, Turin - Italy).

Other medications that could be administered during the hospitalization period included: NSAIDs (meloxicam 0.1 mg/kg IV SID), gastroprotectant medications (omeprazole 1 mg/kg IV, BID, sucralphate 1g/dog PO TID), antiemetic medications (maropitant 1 mg/kg IV SID) and antibiotics (ampicillin + sulbactam 25 mg/kg IV TID and enrofloxacin 7.5 mg/kg IV SID).

The subjects were divided into groups based on the opioid administered: group 1 was treated with tramadol, group 2 was treated with methadone and group 3 was treated with buprenorphine.

Statistical Analysis

Given the retrospective observational design of the study, the sample was not calculated a priori but determined by the cases available in the time interval considered. Continuous variables are expressed as mean ± standard deviation (SD) or median (interquartile range IQR) for skewed distributed data. Skewed data (glucose, lactate, sodium, potassium, chloride, bicarbonate) were log-transformed in order to achieve normal distribution as confirmed by the Kolmogorov-Smirnov test. Baseline comparisons of parameters between treatment groups were performed using ANOVA. Temporal change in parameters was analyzed by means of GLM for repeated measures with group, time, sex and surgery status as main factors. A p-value ≤ 0.05 was considered significant. Statistical analysis was carried out by using SPSS v. 27 (IBM Statistics).

Results

In the period between January 2018 and December 2020, a total of 876 patients were treated with opioids, including 228 with tramadol, 273 with methadone and 375 with buprenorphine. Of all these dogs, only a small percentage met the inclusion characteristics presented in the initial design (Figure 1 and Table 1). Thirty patients were hospitalized for surgical conditions [9 gastrointestinal foreign body, 7 pyometra, 4 gastric dilatation and volvulus (GDV), 2 haemoabdomen, 2 hit by car (HBC), 2 Wild Boar Injury, 1 intervertebral disc disease, 1 nephrolithiasis, 1 haemometra and 1 cholecystitis)] and 19 for medical reasons [13 gastroenterocolitis, 3 HBC, 1 gastrointestinal foreign body, 1 mastitis and 1 High Rise Syndrome (HRS)]. In total 11 dogs were in group 1, with an average weight of 17.54 kg consisting of 3 male and 8 female and with an average age of 7.42 years There were 21 dogs in group 2, 12 male and 9 female, with an average weight of 26.47 kg and an average age of 7.62 years. In group 3 there were 17 dogs, 10 female and 7 males, with an average weight of 23.23 kg and an average age of 6.8 years. Overall, the average age of all enlisted animals was 7.32 years with an average body weight of 23.34 kg.

FIGURE 1
www.frontiersin.org

Figure 1. Flow diagram illustrating enrollment, inclusion, allocation process of dogs hospitalized and treated with tramadol, methadone and buprenorphine.

TABLE 1
www.frontiersin.org

Table 1. Dogs enrolled in Groups 1, 2 and 3 dogs.

The results of the blood parameters studied for each treatment are presented as mean ± SD and median at T0, T1 and T2 in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Average, SD and median values of the various parameters analyzed at T0, T1 and T2 in Groups 1, 2 and 3 dogs.

The ANOVA analysis showed no difference at baseline (T0) in the three groups. GLM analysis for repeated data on all parameters showed a significant decrease over time for Hct (p < 0.0001), Anion gap (p < 0.0001), lactate (p < 0.0001) and glucose (p = 0.01) and a significant increase for Na (p = 0.01), Cl (p < 0.0001), iCa (p = 0.005) without showing a significant effect of the treatment (Table 3). The parameters were then analyzed and the effect of the surgery was also assessed. The GLM analysis for repeated data confirmed the previous results, showing a significant time increase of chlorine in the animals with surgical conditions (p = 0.007).

TABLE 3
www.frontiersin.org

Table 3. GLM analysis for repeated data on all parameters.

Considering gender, the model GLM evidences a decrease in the time of glycemia (p = 0.03), independently from the sex and the treatment (Figure 2), where glucose is represented in log10 scale.

FIGURE 2
www.frontiersin.org

Figure 2. (A) Estimated mean glucose levels related to opioid treatment in male dogs. (B) Estimated mean glucose levels related to opioid treatment in female dogs.

Discussion

The relief of pain during the hospitalization is essential to improve the recovery and comfort of dogs. Postoperative pain shows individual variations unrelated to the duration and extent of the surgical trauma. As a stress factor, pain may be associated with increases in cortisol and glucose concentrations (16). Opioids are one of the most important drugs classes for the management of acute and chronic pain conditions and the management of postoperative pain. Besides the analgesic effects, they may interfere with the values of certain biochemical-clinical parameters, especially blood glucose and, in emergency room, the mortality is higher in dogs with hyperglycemia or hypoglycemia compared to those with normoglycemia (33, 34).

Disturbances in glucose metabolism are a known effect of pain (35) and abnormal and prolonged increased blood glucose concentrations in hospitalized human patients have been associated with brain death, fatal cardiac arrhythmia and could impact immune function and predispose patients to infection (36, 37). The effect of opiates on human blood glucose levels has been reported with contradictory results in different studies, while literature showed that medication such as NSAID's, antibiotics, propofol, and isoflurane have no or small influence on blood glucose levels (5, 38). In human medicine, reports about hypoglycemia have increased in the last 10 years and two drugs, tramadol and methadone, have been identified to be associated with higher risk (5). In our study, the glycemic value in enrolled dogs showed a decrease in its value over time, regardless of the type of opioid used but remained within the physiological range. The highest average glycemic drop was recorded for methadone between T0 and T1 (7.67 mg/dl), followed by tramadol between T1 and T2 (6.46 mg/dl), whilst buprenorphine recorded the highest overall glycemic drop between T0-T2 (10.42 mg/dl) compared to the other two opioids. Mastrocinque and Fantoni (39) used tramadol for the management of early postoperative pain following ovariohysterectomy after pyometra in dogs, they found glucose concentrations remained stable during the entire procedure. The episodes of hypoglycemia do not reappear after the suspension of the administration of the tramadol in accordance with observations by Grandvuillemin et al. (17).

Tramadol directly reduces hepatic gluconeogenesis and enhances peripheral glucose utilization in diabetic rats (40). According to Odonkor and Chhatre (21), tramadol may cause rebound hypoglycemia via interference of the intrinsic euglycemia-restoration pathways and a blunted autonomic counter-regulatory response to antecedent hypoglycemia. The mechanism by which methadone causes hypoglycemia is not well understood. Methadone at high doses clearly lowers glucose levels in a dose-dependent manner in mice (41). There is evidence for a direct action of methadone on pancreatic islets (32). According to Toce et al. (31) hyperinsulinism is the mechanism responsible for methadone-associated hypoglycemia. Methadone can also potentiate peripheral glucose utilization (42). Serotonin can lower glucose levels in mice by increasing insulin levels, and several opioids including methadone and tramadol have known serotonergic action (43). Buprenorphine, a μ receptor agonist and k receptor antagonist, apparently did not cause hypoglycemia in human patients (32).

In our study, interestingly the statistically significant difference in dogs treated with opioids appears to be based on sex. Female dogs showed the greatest drop in glycemic values; this finding was noted also by Golightly et al. (24) in hospitalized female patients.

Lactate is a biomarker of cellular energy deficit. Both in emergency and elective surgical patients, increased blood lactate levels indicate that the patient is at risk of increased morbidity and decreased changes of survival (44). Blood lactate concentration should be measured at admission for animal triage, for the identification of compensated or decompensated shock states, and during hospitalization for treatment monitoring. In dogs, blood lactate concentration has been shown to be of prognostic value in patients with gastric dilatation volvulus, severe or complicated babesiosis, septic peritonitis, and in dogs admitted to intensive care units (45, 46).

Increased blood lactate concentration was demonstrated in 3% of female dogs with pyometra (47). Overall, venous plasma lactate concentration could not discriminate between hospital survivors and non-survivors (48). The plasma lactate concentrations differed among blood samples from various sites (49), for this reason it was chosen to take blood samples only from the jugular vein. Lactate concentration in our study always presented values beyond the physiological range at an early stage which then normalized quickly (Table 2). The fall in lactate values between T0 and T2 is comparable with respect to groups treated with tramadol and methadone, while in the group treated with buprenorphine the recorded decrease was much lower.

Significant reductions in Hct and anion gap values are attributable to the underlying pathological condition and probably to the treatments carried out, rather than to the choice of administered opioid. Anion gap represents the difference in concentration between measured cations and anions in plasma. It is commonly used for assessment of the accuracy of laboratory data and analysis of acid-base disorders. According to the extensive literature review undertaken by us, there seems to be no association no between these two parameters in the dog and the choice of opioid administered.

Measurement of electrolyte concentrations is an important component of the assessment of dogs in emergency rooms or intensive care units, particularly sodium, potassium, corrected chloride and ionized calcium concentration (50). Hypochloremia and metabolic alkalosis are common in dogs with gastrointestinal foreign bodies (51, 52), and gastric dilation-volvulus syndrome (53). Our study shows a consistent increase in the values of iCa, Na and Cl. The latter shows a significant temporal increase in dogs undergoing surgical treatment. Chloride is the major anion in the extracellular fluid and is important in the metabolic regulation of acid-base balance. Serum chloride disturbances are commonly observed in critically ill dogs with diverse disease etiologies (51, 54) and hyperchloremia is a common abnormality associated with metabolic acidosis in dogs. Because there was no evidence of dehydration and metabolic acidosis in patients enrolled in this study, interference by opioids was suspected, this is aligned with the findings of by Hopper and Epstein (55). However, unlike Hopper and Epstein (55), in our study we observed hypernatremia. Blood sodium values tend to rise for all opioids at T1, but by a greater percentage when methadone is administered. At T2, there is an increase in its value only with buprenorphine. Tramadol, on the other hand, has the opposite effect, with a decrease in the value of sodium and chloride at T2 compared to T1 which, as far as sodium is concerned, is even lower than those observed at T0. A profound hyponatremia was reported by Lota et al. (56) following a tramadol overdose and this is a common electrolyte disturbance associated with prolonged hospitalization and increased mortality. This certainly does not correspond to our case since the decrease between T0 and T2 is only 0.31%. It must be remembered, however, that the administration of intravenous chloride and sodium is ubiquitous in hospitalized veterinary patients and the electrolyte concentration, routinely measured in veterinary hospital practice, may suffer interferences related to fluid therapy.

A post-operative decrease in ionized calcium (iCa) was demonstrated in healthy animals after various anesthetic protocols and surgeries (57). In our case iCa shows a significant increase over time, except in the group treated with tramadol where the initial value remains constant. This different behavior is probably due to the different action on the calcium channels of the opioids used in our study. It could be assumed that the dilution of blood samples with heparin could be a source of preanalytical error in blood gas, electrolyte, and lactate measurements, but the use of tubes with lithium heparin is recommended for ionized calcium (58).

In addition to changes in the gas analytic parameters, the opioids used in this study were well tolerated without undesirable adverse effects.

Our study has limitations, sample sizes are relatively small. Prospective studies with a higher number of enlisted animals could provide more reliable data. Also, given the pharmacokinetics of these opioid analgesic drugs, it would be advisable to evaluate blood glucose several times a day.

Conclusion

Opioid analgesic agents remain the first choice for common treatment of severe pain in everyday veterinary hospital practice. In hospitalized dogs, the hematological parameters that show the greatest impact from the use of opioids glucose, lactate and electrolytes. It follows that monitoring of gas analytic parameters should be a priority for patients in hospital and that more attention should be paid to hospitalized patients with certain metabolic and endocrine diseases.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics Statement

The animal study was reviewed and approved by Ethics Committee for Animal Experimentation of University of Parma (PROT. N.14/CESA /2021). Written informed consent was obtained from the owners for the participation of their animals in this study.

Author Contributions

FQ: conceptualization, supervision, funding acquisition, writing-original draft preparation, and writing-review and editing. FF, KS, and RA: data curation. FQ, FF, and KS: writing-review and editing. All authors have read and agreed to the published version of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We would like to thank Andrea de Ferri and Lizzie Barker for proofreading this manuscript.

References

1. Mathews K, Kronen PW, Lascelles D, Nolan A, Robertson S, Steagall PV, et al. Guidelines for recognition, assessment and treatment of pain: WSAVA Global Pain Council members and co-authors of this document. J Small Anim Pract. (2014) 55:E10–68. doi: 10.1111/jsap.12200

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Epstein ME, Rodanm I, Griffenhagen G, Kadrlik J, Petty MC, Robertson SA, et al. AHAA; AAFP. 2015 AAHA/AAFP pain management guidelines for dogs and cats. J Feline Med Surg. (2015) 17:251–72. doi: 10.1177/1098612X15572062

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cardozo LB, Cotes LC, Kahvegian MA, Rizzo MF, Otsuki DA, Ferrigno CR, et al. Evaluation of the effects of methadone and tramadol on postoperative analgesia and serum interleukin-6 in dogs undergoing orthopaedic surgery. BMC Vet Res. (2014) 6:10–194. doi: 10.1186/s12917-014-0194-7

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Morgaz J, Navarrete R, Munoz-Rascon P, Dominguez JM, Fernandez-Sarmiento JA, Gomez-Villamandos RJ, et al. Postoperative analgesic effects of dexketoprofen, buprenorphine and tramadol in dogs undergoing ovariohysterectomy. Res Vet Sci. (2013) 95:278–82. doi: 10.1016/j.rvsc.2013.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Makunts T, Atayee UA, Abagyan RS, Retrospective R. analysis reveals significant association of hypoglycemia with tramadol and methadone in contrast to other opioids. Sci Rep. (2019) 9:12490. doi: 10.1038/s41598-019-48955-y

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Ducharme S, Fraser R, Gill K. Update on the clinical use of buprenorphine: in opioid-related disorders. Can Fam Physician. (2012) 58:37–41.

PubMed Abstract | Google Scholar

7. Frame L, McKay G, Fisher M. Methadone. Pract Diab. (2017) 34:34–35a. doi: 10.1002/pdi.2076

CrossRef Full Text | Google Scholar

8. Mercadante S. Opioid metabolism and clinical aspects. Eur J Pharmacol. (2015) 769:71–8. doi: 10.1016/j.ejphar.2015.10.049

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Shipton EA. Tramadol–present and future. Anaesth Intensive Care. (2000) 28:363–74. doi: 10.1177/0310057X0002800403

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Soleimanpour H, Safari S, Shahsavari Nia K, Sanaie S, Alavian SM. Opioid drugs in patients with liver disease: a systematic review. Hepat Mon. (2016) 16:e32636. doi: 10.5812/hepatmon.32636

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Buhari S, Hashim K, Yong Meng G, Mustapha NM, Gan SH. Subcutaneous administration of tramadol after elective surgery is as effective as intravenous administration in relieving acute pain and inflammation in dogs. Sci. World J. (2012). 7. doi: 10.1100/2012/564939

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Vuong C, Van Uum SH, O'Dell LE, Lutfy K, Friedman TC. The effects of opioids and opioid analogs on animal and human endocrine systems. Endocr Rev. (2010) 31:98–132. doi: 10.1210/er.2009-0009

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Coluzzi F, Pergolizzi J, Raffa RB, Mattia C. The unsolved case of “bone-impairing analgesics”: the endocrine effects of opioids on bone metabolism. Ther Clin Risk Manag. (2015) 11:515–23. doi: 10.2147/TCRM.S79409

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Benyamin R, Trescot AM, Datta S, Buenaventura R, Adlaka R, Sehgal N, et al. Opioid complications and side effects. Pain Physician. (2008) 11:S105–20. doi: 10.36076/ppj.2008/11/S105

CrossRef Full Text | Google Scholar

15. Capik I, Nagy O, Tothova C, Polkowska I. Comparison of tramadol and buprenorphine analgesia for continuous intravenous Propofol anaesthesia in dogs undergoing dental prophylaxis. Vet Med. (2016) 61:213–8. doi: 10.17221/8822-VETMED

CrossRef Full Text | Google Scholar

16. Martins TL, Kahvegian MA, Noel-Morgan J, Leon-Romn MA, Otsuki DA, Fantoni DT. Comparison of the effects of tramadol, codeine, and ketoprofen alone or in combination on postoperative pain and on concentrations of blood glucose, serum cortisol, and serum interleukin-6 in dogs undergoing maxillectomy or mandibulectomy. Am J Vet Res. (2010) 71:1019–26. doi: 10.2460/ajvr.71.9.1019

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Grandvuillemin A, Jolimoy G, Authier F, Dautriche A, Duhoux F, Sgro C. Hypoglyc mie lors d'un traitement par tramadol. A propos de deux cas [Tramadol-induced hypoglycemia 2 cases]. Presse Med. (2006) 35:1842–4. doi: 10.1016/S0755-4982(06)74913-2

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Bourne C, Gouraud A, Daveluy A, Grandvuillemin A, Auriche P, Descotes J, et al. French Association of Regional Pharmacovigilance Centres. Tramadol and hypoglycaemia: comparison with other step 2 analgesic drugs. Br J Clin Pharmacol. (2013) 75:1063–7. doi: 10.1111/j.1365-2125.2012.04451.x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Mugunthan N, Davoren P. Danger of hypoglycemia due to acute tramadol poisoning. Endocr Pract. (2012) 18:e151–2. doi: 10.4158/EP12070.CR

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Fournier JP, Azoulay L, Yin H, Montastruc JL, Suissa S. Tramadol use and the risk of hospitalization for hypoglycemia in patients with noncancer pain. JAMA Intern Med. (2015) 175:186–93. doi: 10.1001/jamainternmed.2014.6512

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Odonkor CA, Chhatre A. What's tramadol got to do with it? A case report of rebound hypoglycemia, a reappraisal and review of potential mechanisms. Pain Physician. (2016) 19:E1215–20. doi: 10.36076/ppj/2016.19.E1215

CrossRef Full Text | Google Scholar

22. Salmi A. Tramadol beyond its beneficial effects. J Clin Toxicol. (2016) 6:1. doi: 10.4172/2161-0495.1000282

CrossRef Full Text |

23. Senthilkumaran S, Ananth C, Menezes RG, Thirumalaikolundusubramanian P. Tramadol-induced hypoglycemia: An unusual adverse effect. J Anaesthesiol Clin Pharmacol. (2017) 33:554–5. doi: 10.4103/0970-9185.222512

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Golightly LK, Simendinger BA, Barber GR, Stolpman NM, Kick SD, McDermott MT. Hypoglycemic effects of tramadol analgesia in hospitalized patients: a case-control study. J Diabetes Metab Disord. (2017) 16:30. doi: 10.1186/s40200-017-0311-9

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Yoshida K, Sato H, Tanaka T, Kasai K. Autopsy case of fatal hypoglycemia following ingestion of a therapeutic dose of tramadol. Forensic Sci Med. Pathol. (2021) 17:465–8. doi: 10.1007/s12024-021-00386-w

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Cronin T, Smith LF. Tramadol-induced hypoglycaemia. Postgrad Med J. (2018) 94:121. doi: 10.1136/postgradmedj-2017-135217

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Maingi S, Moryl N, Andrew F. Symptomatic hypoglycemia due to escalating doses of intravenous methadone. J Pain. (2008) 9:S2:37. doi: 10.1016/j.jpain.2008.01.165

CrossRef Full Text | Google Scholar

28. Moryl N, Pope J, Obbens E. Hypoglycemia during rapid methadone dose escalation. J Opioid Manag. (2013) 9:29–34. doi: 10.5055/jom.2013.0144

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Gjedsted J, Dall R. Severe hypoglycemia during methadone escalation in an 8-year-old child. Acta Anaesthesiol Scand. (2015) 59:1394–6. doi: 10.1111/aas.12562

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Flory JH, Wiesenthal AC, Thaler HT, Koranteng L, Moryl N. Methadone use and the risk of hypoglycemia for inpatients with cancer pain. J Pain Symptom Manage. (2016) 51:79–87.e1. doi: 10.1016/j.jpainsymman.2015.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Toce MS, Stefater MA, Breault DT, Burns MMA. case report of methadone-associated hypoglycemia in an 11-month-old male. Clin Toxicol (Phila). (2018) 56:74–6. doi: 10.1080/15563650.2017.1338347

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Masharani U, Alba D. Methadone-associated hypoglycemia in chronic renal failure masquerading as an insulinoma. Pain Med. (2018) 19:1876–8. doi: 10.1093/pm/pnx280

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hardie EM, Rawlings CA, George JW. Plasma-glucose concentrations in dogs and cats before and after surgery: comparison of healthy animals and animals with sepsis. Am J Vet Res. (1985) 46:1700–4.

PubMed Abstract | Google Scholar

34. Hagley SP, Hopper K, Epstein SE. Etiology and prognosis for dogs with abnormal blood glucose concentrations evaluated in an emergency room. J Vet Emerg Crit Care (San Antonio). (2020) 30:567–73. doi: 10.1111/vec.12996

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Greisen J, Juhl CB, Grfte T, Vilstrup H, Jensen TS, Schmitz O. Acute pain induces insulin resistance in humans. Anesthesiology. (2001) 95:578–84. doi: 10.1097/00000542-200109000-00007

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Montori VM, Bistrian BR, McMahon MM. Hyperglycemia in acutely ill patients. JAMA. (2002) 288:2167–9. doi: 10.1001/jama.288.17.2167

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Duarte JMN, Morgenthaler FD, Gruetter R. Glycogen supercompensation in the rat brain after acute hypoglycemia is independent of glucose levels during recovery. Neurochem Res. (2017) 42:1629–35. doi: 10.1007/s11064-017-2178-z

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Rossen SSG, Akkerdaas I. The influence of a dexmedetomidine – buprenorphine based anesthesia on the blood glucose of fasted dogs measured with blood glucose meters GlucoMen ®GM meter (Arkray) and Xpress ® meter (Nova biomedical). (2012). Available online at: Dispace.library.uu.nl

39. Mastrocinque S, Fantoni DTA. comparison of preoperative tramadol and morphine for the control of early postoperative pain in canine ovariohysterectomy. Vet Anaesth Analg. (2003) 30:220–8. doi: 10.1046/j.1467-2995.2003.00090.x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Cheng JT, Liu IM, Chi TC, Tzeng TF, Lu FH, Chang CJ. Plasma glucose lowering effect of tramadol in streptozotocin induced diabetic rats. Diabetes. (2001) 50:2815–21. doi: 10.2337/diabetes.50.12.2815

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Faskowitz AJ, Kramskiy VN, Pasternak GW. Methadone-induced hypoglycemia. Cell Mol Neurobiol. (2013) 33:537–42. doi: 10.1007/s10571-013-9919-6

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Amirshahrokhi K, Dehpour AR, Hadjati J, Sotoudeh M, Ghazi-Khansari M. Methadone ameliorates multiple-low-dose streptozotocin-induced type 1 diabetes in mice. Toxicol Appl Pharmacol. (2008) 232: 119–24. doi: 10.1016/j.taap.2008.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Gillman PK. Monoamine oxidase inhibitors, opioid analgesics and serotonin toxicity. Br J Anaesth. (2005) 95:434–41. doi: 10.1093/bja/aei210

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Bakker J, De Lima AP. Increased blood lactate levels: an important warning signal in surgical practice. Crit. Care. (2004) 8:96–98. doi: 10.1186/cc2841

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Nel M, Lobetti RG, Keller N, Thompson PN. Prognostic value of blood lactate, blood glucose, and hematocrit in canine babesiosis. J Vet Intern Med. (2004) 18:471–6. doi: 10.1111/j.1939-1676.2004.tb02569.x

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Cortellini S, Seth M, Kellett-Gregory LM. Plasma lactate concentrations in septic peritonitis: a retrospective study of 83 dogs (2007-2012). J Vet Emerg Crit Care. (2015) 25:388–95. doi: 10.1111/vec.12234

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Hagman R, Reezigt BJ, Bergström Ledin H, Karlstam E. Blood lactate levels in 31 female dogs with pyometra. Acta Vet Scand. (2009) 51:2. doi: 10.1186/1751-0147-51-2

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Zollo AM, Ayoob AL, Prittie JE, Jepson RD, Lamb KE, Fox PR. Utility of admission lactate concentration, lactate variables, and shock index in outcome assessment in dogs diagnosed with shock. J Vet Emerg Crit Care. (2019) 29:505–13. doi: 10.1111/vec.12868

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Hughes D, Rozanski ER, Shofer FS, Laster LL, Drobatz KJ. Effect of sampling site, repeated sampling, pH, and PCO2 on plasma lactate concentration in healthy dogs. Am J Vet Res. (1999) 60:521–4.

PubMed Abstract | Google Scholar

50. Goggs R, De Rosa S, Fletcher DJ. Electrolyte disturbances are associated with Non-Survival in Dogs—a multivariable analysis. Front Vet Sci. (2017) 4:135. doi: 10.3389/fvets.2017.00135

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Boag AK, Coe RJ, Martinez TA, Hughes D. Acid-base and electrolyte abnormalities in dogs with gastrointestinal foreign bodies. J Vet Intern Med. (2005) 19:816–21. doi: 10.1111/j.1939-1676.2005.tb02770.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Hayes G. Gastrointestinal foreign bodies in dogs and cats: a retrospective study of 208 cases. J Small Anim Pract. (2009) 50:576–83. doi: 10.1111/j.1748-5827.2009.00783.x

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Rauserova-Lexmaulova L, Vanova-Uhrikova I, Rehakova K. Acid-base, electrolyte and lactate abnormalities as well as gastric necrosis and survival in dogs with gastric dilation-volvulus syndrome. A retrospective study in dogs top companion. Anim Med. (2020) 39:100403. doi: 10.1016/j.tcam.2020.100403

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zager E, Fletcher DJ, Goggs R. Evaluation of the association between strong ion acid-base disturbances and mortality in dogs: a retrospective study. Vet Med Sci. (2018) 4:206–17. doi: 10.1002/vms3.101

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Hopper K, Epstein SE. Incidence, nature, and etiology of metabolic acidosis in dogs and cats. J Vet Intern Med. (2012) 26:1107–14. doi: 10.1111/j.1939-1676.2012.00983.x

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Lota AS, Dubrey SW, Wills P. Profound hyponatraemia following a tramadol overdose. QJM. (2012) 105:397–8. doi: 10.1093/qjmed/hcs027

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Brainard BM, Campbell VL, Drobatz KJ, Perkowski SZ. The effects of surgery and anesthesia on blood magnesium and calcium concentrations in canine and feline patients. Vet Anaesth Analg. (2007) 34:89–98. doi: 10.1111/j.1467-2995.2006.00300.x

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Hopper K, Rezende ML, Haskins SC. Assessment of the effect of dilution of blood samples with sodium heparin on blood gas, electrolyte, and lactate measurements in dogs. AJVR. (2005) 65:656–60. doi: 10.2460/ajvr.2005.66.656

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: dog, glucose, lactate, electrolytes, tramadol, methadone, buprenorphine

Citation: Quintavalla F, Spindler KP, Aldigeri R and Fidanzio F (2022) The Effect of Different Opioids on Acid-Base Balance and Blood Gas Analysis in Hospitalized Dogs. Front. Vet. Sci. 9:802186. doi: 10.3389/fvets.2022.802186

Received: 26 October 2021; Accepted: 17 February 2022;
Published: 17 March 2022.

Edited by:

Kazumasu Sasaki, Akita Cerebrospinal and Cardiovascular Center, Japan

Reviewed by:

Tadashi Sano, Rakuno Gakuen University, Japan
Jenica L. Haraschak, University of Illinois at Urbana-Champaign, United States

Copyright © 2022 Quintavalla, Spindler, Aldigeri and Fidanzio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fausto Quintavalla, fausto.quintavalla@unipr.it

Download