Literature DB >> 34976088

Effects of Morphine and Fentanyl on Patients with COVID-19.

Ali Amirsavadkouhi1, Reza Shahrami2, Nadia Mohammad Zadeh3, Saba Ilkhani4, Seyed Bashir Mirtajani5, Vahid Salimi6, Maziar Mahjoubifard7, Alireza Jahangirifard8.   

Abstract

BACKGROUND: Sustained inflammation has been observed in the majority of severe COVID-19 cases. The impact of choice of opioid on perioperative inflammatory processes has not been assessed in the clinical setting.
MATERIALS AND METHODS: Patients with novel coronavirus (COVID-19) who referred to Masih Daneshvari and Noor-Afshar Hospitals in Tehran were included in the study after providing full explanations and obtaining written consent. Patients were then randomly divided into three groups: morphine, fentanyl and control. Patients in the morphine group received 3 mg of morphine intravenously every 6 hours for 5 days, whereas in the fentanyl group, 1.5 mcg / kg / h of fentanyl was infused for 2 hours on 5 consecutive days. The results were evaluated based on the design of the questionnaire and its completion using t-test and SPSS25 software.
RESULTS: A total of 127 participants responded to the survey between 20 April and 20 June 2020, of whom 90 (70.86%) with the average age 65.2 years, provided complete data on variables included in the present analyses. 53 (58.33%) of all individuals were men and 37 (41.12%) were women. Accordingly, 22 (24.4%) patients had a history of hypertension. However, diabetes with 16 (17.77%) cases and kidney diseases with 12 (13.33%), were the next most common underlying diseases. Evaluation of patients' clinical, laboratory and inflammatory conditions at different time intervals in both fentanyl and morphine groups did not show significant changes between these groups and the patients in the control one.
CONCLUSION: The results of this study did not show any significant change in the use of fentanyl and morphine compared to patients with COVID 19. This may be due to the use of these drugs in the viral phase of the disease. The use of morphine and fentanyl in the viral phase of COVID 19 disease do not show significant benefits. Copyright
© 2021 National Research Institute of Tuberculosis and Lung Disease.

Entities:  

Keywords:  COVID19; Fentanyl; Morphine; Opium

Year:  2021        PMID: 34976088      PMCID: PMC8710217     

Source DB:  PubMed          Journal:  Tanaffos        ISSN: 1735-0344


INTRODUCTION

Cytokine storm has been observed in the majority of severe COVID-19 cases (1,2). High concentrations of cytokines such as IL-2, IL-7, IL-10, G- SCF, IP10, MCP1, MIP1A, and TNF-α were recorded in plasma of critically ill patients infected with SARS-CoV-2, indicating that the cytokine storm could be associated with disease severity (3). Due to the fact that intensive inflammation leads to disease-induced morbidity and mortality, using anti-inflammatory agents may provide a new relevant strategy (4). Infection is regulated by multiple cytokines that act in concert to proceed inflammatory responses (5,6). Opioid/cannabinoid receptors-based drugs can modulate immune cell migration and cytokine/chemokine secretion, and represent a promising pharmacological platform for developing anti-inflammatory therapeutics (7). Opium is one of the strongest analgesics used for the treatment and control of pain (8). Numerous studies have examined the relationship between innate and drug-compatible immune cells in vitro, in vivo, and epidemiological and clinical studies in different patient groups (9–12). Laboratory studies in animals have shown that opium suppresses the immune system in the body (13). Also, physicians in the past used anodynes of opium tincture as a treatment of “bronchitis” and other ailments in infants and children, as case reports and experience “demonstrated the efficacy” of the concoction in controlling coughing and facilitating breathing. Morphine is a member of morphinone-shaped alkaloids found in the poppy plant (14), which is a potent agonist of opioid receptors that acts on three types of receptors, causing effects that are mainly at the supraspinal and spinal level. Research on the antiviral properties and effects of this drug has shown its beneficial effects in the treatment of viruses such as SHV-1 (15). However, some studies have shown evidence of suppression of immunological factors with the use of morphine (16). Fentanyl, also is synthetic opioid used as a pain medication (17). Fentanyl works primarily by activating μ-opioid receptors (18). It is around 100 times stronger than morphine, and some analogues such as carfentanil are around 10,000 times stronger (19). Opioids interfere with the immune system in a number of ways, including some components involved in the immune response, such as granulocytes and macrophages (20). A large source of endogenous opioids is inflammatory tissues of immune cells. In addition to its analgesic effects, morphine also has some anti-inflammatory effects. Reduction of hyperthermia and leakage of vascular fluids caused by carcinogens and the tendency of opioids to suppress the immune system, suppress edema, changes in leukocyte cytotoxicity and suppression of endothelial damage caused by granulocytes are the anti-inflammatory effects of morphine (21–23). Numerous results have been published on the interaction of opioids and cytokines. The impact of choice of opioid on perioperative inflammatory processes has not been assessed in the clinical setting. We hypothesized that the use of opioid as part of a balanced therapeutic technique would diminish the inflammatory reaction and clinical consequences.

MATERIALS AND METHODS

This study, which is designed as a double-blind clinical trial (with registration number: IRCT20150725023332N4), has been approved by the Ethics Committee in Biomedical Research of Masih Daneshvari Hospital with the code (IR.SBMU.NRITLD.REC.1399.055). Patients with novel coronavirus (COVID-19) who referred to Masih Daneshvari and Noor-Afshar Hospitals in Tehran were included in the study, if they met the inclusion criteria (definitive COVID 19 infection based on clinical and para clinical tests, 18 year 2 times the normal limit, corticosteroid consumption, opium allergy, opium addiction and alcohol addiction. All patients received similar drugs according to standard protocols. The research physicians were blinded to the patient group and the patients were blinded to the injected drug (double-blind). 90 patients with the new coronavirus infection (COVID-19) were included in the study. Patients were then randomly divided into three groups: morphine, fentanyl and control. Patients in the morphine group received 3 mg of morphine intravenously every 6 hours for 5 days, whereas in the fentanyl group, 1.5 mcg / kg / h of fentanyl infused for 2 hours on 5 consecutive days. Then variables such as SaO2, HR, RR, Temp, WBC, BUN, Cr, ALT, AST, Bilirubin, CRP, ESR and LDH were measured during the study period. The results of questionnaire design and its completion were analyzed using t-test and SPSS version 25 software.

RESULTS

A total of 127 participants responded to the survey between 20 April and 20 June 2020, of whom 90 (70.86%) with the average age 65.2 years, provided complete data on variables and were included in the present analyses. According to the results in Table 1, 53 (58.33%) of all individuals were men and 37 (41.12%) were women. Accordingly, 22 (24.4%) patients had a history of hypertension. However, diabetes with 16 (17.77%) cases and kidney diseases with 12 (13.33%), were the next most common underlying diseases. By comparing and reviewing each of these indicators in the three groups of patients, no significant differences were observed.
Table 1.

Demographic information and patient records

Indexes Total Groups

MeanN (%)MorphineFentanylControlP-value
Age 65.2063.3766.0166.220.25
Sex (male) 53 (58.33%)16 (53.33%)18 (60.00%)19 (63.33%)0.42
Diabetes 16 (17.77%)5 (16.66%)6 (20.00%)5 (16.66%)0.13
HTN 22 (24.44%)6 (20.00%)8 (26.66%)8 (26.66%)0.16
MI 2 (2.22%)1 (3.33%)0 (0.00%)1 (3.33%)0.09
CVA 2 (2.22%)0 (0.00%)1 (3.33%)1 (3.33%)0.09
Kidney disorder 12 (13.33%)3 (10.00%)5 (16.66%)4 (13.33%)0.07
Liver disorder 2 (2.22%)1 (3.33%)1 (3.33%)0 (0.00%)0.09
Anemia 4 (4.44%)2 (6.66%)1 (3.33%)1 (3.33%)0.11
Hyperlipidemia 15 (16.66%)6 (20.00%)4 (13.33%)5 (16.66%)0.08
Smoker 3 (3.33%)2 (6.66%)0 (0.00%)1 (3.33%)0.06
Opium 0 (0%)0(0.00%)0 (0.00%)0 (0.00%)0.99
Demographic information and patient records Evaluation of patients' clinical conditions (Table 2) at different time intervals in both fentanyl and morphine groups did not show significant changes between the two groups of patients.
Table 2.

Evaluation and comparison of clinical factors of patients in the two intervention groups (morphine group and fentanyl group) compared to control group

Fentanyl Morphine


Control group Fentanyl group P-value Control group Morphine group P-value
Sao2 Before 89/944 ± 5/35986± 25/250/038389/944 ± 5/35992/3 ± 26/7660/189
After 24 h 92/133 ± 34/5585/50 ± 25/200/49692/133 ± 34/5592/4 ± 26/8420/286
After 72 h 92/625 ±29/19487/88 ± 34/1130/20392/625 ±29/19494/2 ± 27/2530/386
After 120 h 93/857 ± 39/16787/625 ± 39/1920/27793/857 ± 39/16793/8 ±27/0180/192
Temp Before 37/3 ±17/58937./75 ± 10/850/06637/3 ±17/58937/045 ± 0/9070/009
After 24 h 37/4 ± 18/5937/22 ± 14/360/08237/4 ± 18/5937/063 ± 0/4670/018
After 72 h 37/011 ±18/50636/877 ± 14/2250/04737/011 ±18/50637/036 ± 0/4990/018
After 120 h 37/01 ± 18/46737/144 ± 14/3280/04437/01 ± 18/46737/01 ± 0/9230/005
MAP Before 106/91 ± 52/46182/80 ± 43/420/048106/91 ± 52/46196/555 ±39/8520/344
After 24 h 111/61 ± 52/40783/6 ± 43/4650/018111/61 ± 52/407108/889 ± 45/6110335
After 72 h 110/153 ± 51/94585/6 ± 44/5260/023110/153 ± 51/94595/75 ±45/5930/309
After 120 h 103/50± 52/7591/0 ± 46/6320/213103/50± 52/7597/25 ± 43/4840/252
HR Before 88/176 ± 24/05581/6 ± 26/2080/18288/176 ± 24/05580/454 ±11/1790/363
After 24 h 83/533 ± 32/59188/00 ± 31/5730/21183/533 ± 32/59181/454 ± 13/2550/136
After 72 h 81/687 ± 26/98389/7± 33/5700/22781/687 ± 26/98378/363 ± 11/0960/260
After 120 h 87/571 ± 37/10692/111 ± 41/8530/32187/571 ± 37/10678/818 ±16/0890/194
RR Before 22/266 ± 11/09639/9 ± 46/610/07222/266 ± 11/09633/363 ±46/4210/111
After 24 h 22/692 ± 11/50439/1 ±46/6130/06022/692 ± 11/50420/00 ± 2/7630/166
After 72 h 20/714 ± 9/92621/3±6/8920/18220/714 ± 9/92619/636 ± 1/8220/135
After 120 h 20/454 ± 11/00625/554 ± 15/7210/05720/454 ± 11/00619/090 ± 1/8310/034
Evaluation and comparison of clinical factors of patients in the two intervention groups (morphine group and fentanyl group) compared to control group Examination of patients' laboratory conditions (Table 3) at different time intervals in the two groups of fentanyl and morphine did not show significant changes between the two groups of patients.
Table 3.

Evaluation and comparison of laboratory indexes of patients in the two intervention groups (morphine group and fentanyl group) compared to control group

Fentanyl Morphine

Control group Fentanyl group P-value Control group Morphine group P-value
WBC ×1000 Before 3/721 ±1/389/249 ±2/640/1143/721 ±1/386/382 ± 3/2100/198
After 24 h 4/82 ±2/328/14 ±2.730/0784/82 ±2/327/288 ± 5/6210/129
After 72 h 5/14± 2/248/05±2/2910/0515/14± 2/245/897 ± 2/2580/224
After 120 h 6/12 ± 2/158/40 ±2/230/0476/12 ± 2/155/316 ± 4/0510/215
Lymph (%) Before 14/76 ±8/9114/7 ± 7/7020/33914/76 ±8/9116/4 ± 9/7260/329
After 24 h 9/08 ± 5/93415/94 ± 7/6430/00069/08 ± 5/93413/70 ± 9/7030/003
After 72 h 10/927 ± 7/44015/06 ± 7/7020/01310/927 ± 7/44016/363 ± 9/3920/003
After 120 h 10/918 ±7/33412/637 ± 8/7630/21410/918 ±7/33415/591 ±10/9590/021
BUN Before 48/00 ± 34/05835/933 ± 23/540/33348/00 ± 34/05840/109 ± 22/7040/326
After 24 h 77/363 ± 75/06742/788 ± 26/2920/30977/363 ± 75/06736/409 ± 22/4410/327
After 72 h 72/090 ± 52/36772/818 ± 66/1840/29472/090 ± 52/36736/554 ± 24/2570/334
After 120 h 72/188 ± 66/18444/662 ± 31/000/29472/188 ± 66/18434/721 ± 24/4670/276
Cr Before 1/272±0/3371/488 ± 0/8810/4111/272±0/3372/250 ±2/7300/079
After 24 h 1/6 ± 1/1881/722 ± 1/0630/1741/6 ± 1/1882/027 ± 2/1360/056
After 72 h 1/42 ± 0/9891/733 ± 1/0370/1681/42 ± 0/9891/972 ± 1/9420/053
After 120 h 1/4 ± 1/0591/65 ± 1/0880/2871/4 ± 1/0592/23 ± 2/3260/053
ALT Before 92/875 ± 72/6951/375 ± 31/4650/45692/875 ± 72/6927/001 ± 15/9210/267
After 24 h 89/125 ±71/18855/714 ±34/5440/43189/125 ±71/18834/801 ± 24/0650/365
After 72 h 59/777 ± 45/41158/428 ± 34/2790/33059/777 ± 45/41130/021 ± 17/4500/295
After 120 h 49/01 ± 28/36963/857 ± 36/7000/04949/01 ± 28/36940/501 ± 34/3710/078
AST Before 90/181 ± 108/66770/888 ± 36/4060/46790/181 ± 108/66737/272 ± 24/2580/271
After 24 h 50/625 ± 28/42781/125 ±44/0880/00750/625 ± 28/42732/725 ± 21/0210/450
After 72 h 59/75 ± 34/4586/285 ±49/0720/04459/75 ± 34/4536/725± 21/0210/450
After 120 h 61/555 ± 38/02171/857 ± 44/0270/17961/555 ± 38/02136/791 ± 23/3100/288
Bili Before 0/771 ± 0/4580/58 ± 0/330/0860/771 ± 0/4582/140 ± 3/7710/054
After 24 h 0/966 ± 0/5570/583 ± 0/2800/4870/966 ± 0/5572/292 ± 3/8560/078
After 72 h 0.80 ± 0.4580/607 ± 0.3620.2220.80 ± 0.4582/595 ± 3/7950/031
After 120 h 0.9 ± 0.5000.641± 0.3610.3740.9 ± 0.5002/524 ± 4/660/055
Evaluation and comparison of laboratory indexes of patients in the two intervention groups (morphine group and fentanyl group) compared to control group The results in Figure 2 show that the use of morphine and fentanyl could not significantly change the inflammatory parameters of patients.
Figure 2.

Comparison of the level of changes in inflammatory factors in patients in the two intervention groups (morphine group and fentanyl group) compared to control group patients at different times

Consort diagram Comparison of the level of changes in inflammatory factors in patients in the two intervention groups (morphine group and fentanyl group) compared to control group patients at different times

DISCUSSION

In COVID-19 infection, an exacerbated pulmonary and systemic inflammatory response occurs, with increased serum levels of inflammatory markers, such as C-reactive protein (CRP), lactic dehydrogenase (LDH), ferritin, D-dimer, and IL-6 (24, 25), all of which may result in cytokine storm (26), similar to Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) (27,28). Experimental data, suggest that morphine has potent immunoregulatory properties, and may attenuate inflammatory processes (29). The pretreatment of activated granulocytes and macrophages with morphine results in a significant reduction in phagocytosis, cytokine production (interleukin (IL)-1, IL-6, and tumor necrosis factor (TNF) and the expression of adhesion molecules (30–32). The results in some researches have shown that consumption of opium reduces the level of HbA1C, CRP, factor VII, fibrinogen, apo B, Lpa, SGOT and SGPT, regardless of the period and route of consumption (33–34). Despite all these details, the results of our study did not show any significant benefit in the use of fentanyl and morphine compared to standard therapy regarding inflammatory markers (CRP, LDH and ESR) in patients suffering from COVID 19. This may be due to the use of these drugs in the viral phase of the disease when the inflammatory reaction does not initiate (35). Studies have signified that patients with this type of infection enter the inflammatory phase in the second 5–7 days of the disease. Another thing is that the lack of different doses of drugs in our study may have caused the present results. Based on previous research, positive effect of opium on the level of inflammatory markers can be dose-dependent (36) and the more the dose, the more the effects. Besides the mentioned reasons, fentanyl unlike morphine does not bind to the μ3 receptor (37–39), so it may not be as effective as morphine in reducing inflammatory factor levels. Hence, our results for fentanyl are not far-fetched. According to the observation by Radke et al., opioid use improved respiratory symptoms (40). However, we found that use of morphine and fentanyl had no significant effect on these symptoms (such as respiratory rate and SaO2 ). This difference in results can be related to the different pathologic mechanism of new coronavirus on the pulmonary tract. In this study the effect of morphine and fentanyl on the renal or hepatic functional parameters was not considerable. However, some studies have shown that the use of opioids can lead to remarkable changes in the level of these factors (41,42). According to our knowledge, patients with COVID-19 have an inflammatory attack that is known to be the main cause of damage to these organs (not hemodynamic problems and underlying diseases), and because the studied drugs could not justify the inflammatory response, the results seems to be logical. Because of some restrictions, assessment of cytokines, interleukins, and other biomarkers involved in inflammation and viral infections was not possible, so measuring these factors can lead to more favorable results. Also, conducting a study with the approach of examining patients in the inflammatory phase and using different doses of opium (with emphasis on the increasing dose) may achieve different results.

CONCLUSION

The use of morphine and fentanyl in the viral phase of COVID 19 disease is not associated with significant changes in the clinical, laboratory and inflammatory factors in patients with mild-moderate symptoms.
  35 in total

1.  Morphine-6-glucuronide, a potent mu agonist.

Authors:  G W Pasternak; R J Bodnar; J A Clark; C E Inturrisi
Journal:  Life Sci       Date:  1987-12-28       Impact factor: 5.037

2.  Morphine-3-glucuronide may functionally antagonize morphine-6-glucuronide induced antinociception and ventilatory depression in the rat.

Authors:  Gong Qian-Ling; Jan Hedner; Roland Björkman; Thomas Hedner
Journal:  Pain       Date:  1992-02       Impact factor: 6.961

3.  Selective suppression of microglial activation by paeoniflorin attenuates morphine tolerance.

Authors:  C Jiang; L Xu; L Chen; Y Han; J Tang; Y Yang; G Zhang; W Liu
Journal:  Eur J Pain       Date:  2014-11-16       Impact factor: 3.931

Review 4.  Fentanyl, fentanyl analogs and novel synthetic opioids: A comprehensive review.

Authors:  Patil Armenian; Kathy T Vo; Jill Barr-Walker; Kara L Lynch
Journal:  Neuropharmacology       Date:  2017-10-14       Impact factor: 5.250

Review 5.  Opioids and renal function.

Authors:  Sebastiano Mercadante; Edoardo Arcuri
Journal:  J Pain       Date:  2004-02       Impact factor: 5.820

Review 6.  Disease-Induced Skeletal Muscle Atrophy and Fatigue.

Authors:  Scott K Powers; Gordon S Lynch; Kate T Murphy; Michael B Reid; Inge Zijdewind
Journal:  Med Sci Sports Exerc       Date:  2016-11       Impact factor: 5.411

7.  Microglia-mediated neurotoxicity is inhibited by morphine through an opioid receptor-independent reduction of NADPH oxidase activity.

Authors:  Li Qian; Kai Soo Tan; Sung-Jen Wei; Hung-Ming Wu; Zongli Xu; Belinda Wilson; Ru-Bin Lu; Jau-Shyong Hong; Patrick M Flood
Journal:  J Immunol       Date:  2007-07-15       Impact factor: 5.422

Review 8.  The effects of opioids on the lung.

Authors:  Joshua B Radke; Kelly P Owen; Mark E Sutter; Jonathan B Ford; Timothy E Albertson
Journal:  Clin Rev Allergy Immunol       Date:  2014-02       Impact factor: 8.667

9.  Functional selective FPR1 signaling in favor of an activation of the neutrophil superoxide generating NOX2 complex.

Authors:  Simon Lind; Claes Dahlgren; Rikard Holmdahl; Peter Olofsson; Huamei Forsman
Journal:  J Leukoc Biol       Date:  2020-10-11       Impact factor: 4.962

10.  Effect of opium addiction on new and traditional cardiovascular risk factors: do duration of addiction and route of administration matter?

Authors:  Sedigheh Asgary; Nizal Sarrafzadegan; Gholam-Ali Naderi; Reza Rozbehani
Journal:  Lipids Health Dis       Date:  2008-11-03       Impact factor: 3.876

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