Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms
by
, , and
Vincenzo Galluzzo
1,*
,
Maria Beatrice Zazzara
1,
Francesca Ciciarello
1,
Matteo Tosato
1,
Alessandra Bizzarro
1,
Annamaria Paglionico
1,
Valentina Varriano
1,
Elisa Gremese
1,
Riccardo Calvani
1,2
and
Francesco Landi
1,2
on behalf of Gemelli against COVID-19 Post-Acute Care Team 1
Department of Geriatrics, Orthopedics and Rheumatology, Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Rome, Italy
2
Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(8), 2992; https://doi.org/10.3390/jcm12082992
Submission received: 28 February 2023
/
Revised: 17 April 2023
/
Accepted: 18 April 2023
/
Published: 20 April 2023
(This article belongs to the Section Pharmacology)
Abstract
:Highlights
What are the main findings of the study?
- The most-used pain medication during COVID-19 is acetaminophen.
- The most common analgesics used in post-COVID-19 are acetaminophen, ibuprofen or other NSAID, while older subjects prefer acetaminophen.
- The frequency of pain medication is often several times a week.
What is the implication of the main findings?
- The need to continue analgesic therapy after COVID-19 is associated with persistent arthralgia and myalgia.
- Most patients report an improvement in pain perception after taking analgesic therapy.
Abstract
Background—Analgesics could be used to manage painful symptoms during and after COVID-19. Materials and methods—Persistence of painful symptoms was assessed during and after COVID-19 in a sample of patients admitted to a post-acute COVID-19 outpatient service in Rome, Italy. Data on type and frequency of use of first-line analgesics were collected. Pain severity was evaluated with a numeric rating scale (NRS) from 0 to 10. Results—Mean age of 696 participants was 57.1 ± 20.3 years and 61.7% were women. During COVID-19, the most prevalent symptoms were fever, fatigue, arthralgia, myalgia and headache. Acetaminophen was used by 40% of the sample. Only 6.7% needed to continue analgesic therapy after COVID-19. Frequent causes of analgesics consumption were persistent arthralgia and myalgia. The most common analgesics used amongst those who continued taking analgesics in the post-acute phase of COVID-19 were the following: acetaminophen (31%), ibuprofen (31%) and other non-steroidal anti-inflammatory drug (NSAID) (29.5%); in older subjects the most common analgesic used was acetaminophen (54%). Most of the subjects in this group said there was an improvement in pain perception after taking analgesic therapy (84%). Conclusions—Use of analgesics in the post-acute COVID-19 is common in subjects with persistent arthralgia and myalgia, and common analgesics were acetaminophen and ibuprofen. Further research on the safety and efficacy of those medications in COVID-19 is warranted.
Keywords:
arthralgia; joint pain; myalgia; headache; COVID-19; long COVID; acetaminophen; ibuprofen; NSAIDs; geriatrics1. Introduction
Acute COVID-19 is mainly characterized by upper airway symptoms [1], and can lead to acute respiratory distress syndrome (ARDS) and multiple organ failure that require immediate hospital admission [2,3]. Clinical consequences of acute Sars-CoV2 infection can vary from paucisymptomatic to moderate-severe symptoms [4], and long-lasting sequalae might involve different anatomical districts [5]. Medium- to long-term symptoms that arise within 3 months after the infection configure a clinical condition called long Covid [6]. In the acute and post-acute phase of COVID-19, painful symptoms are primarily associated with arthralgia, myalgia, sore throat, chest pain and headache [7,8]. Molecular mechanisms that play a role the onset and persistence of these symptoms are still under investigation [9,10,11,12]. Frequently, chest pain is not directly associated with a cardiac origin [13], while headaches are often accompanied by sleep disorders or difficulty concentrating [14]. These symptoms are present even in mild COVID-19, and common first-line analgesics might be useful in the short-to-medium-term treatment of pain during acute and post-acute COVID-19 [15]. Although non-steroidal anti-inflammatory drugs (NSAIDs) do not reduce the risk of the worsening of COVID-19 symptoms, the use of these medications might represent an alternative strategy to acetaminophen in the treatment of fever or pain during COVID-19 [16]. Research has demonstrated that both ibuprofen and acetaminophen show a similar efficacy on pain in different forms of headache [17,18]. NSAIDs are also more effective than acetaminophen on pain relief related to osteoarthritis [19,20], albeit they are associated with greater gastrointestinal side effects [21]. Moreover, NSAIDs represent a common option in the management of chronic low back pain [22]. In all forms of acute pain, single doses of ibuprofen produce good pain relief in more people than acetaminophen alone [19]. Considering that painful symptoms might persist for several weeks during the post-acute phase, the intermittent use of first-line analgesics could be common in long COVID patients.
With this study, we aim to assess type and frequency of first-line oral analgesics’ consumption during and after COVID-19 in a sample of individuals who are still suffering from post-acute symptoms.
2. Materials and Methods
The Gemelli Against COVID-19 Post-Acute Care (GAC19-PAC) project is an ongoing initiative developed by the Department of Geriatrics, Neuroscience and Orthopedics of the Catholic University of the Sacred Heart (Rome, Italy) that started in April 2020 to investigate the long-term consequences of COVID-19 and its impact on overall health and quality of life. Details on the post-acute outpatient service of Fondazione Policlinico Gemelli (Rome, IT) and patient evaluation are reported elsewhere [5].
We conducted a descriptive study on individuals aged > 18 years old recovered from COVID-19 and admitted to the post-COVID-19 outpatient service between 1 March 2022 and 30 November 2022. Informed consent was obtained by all the patients upon admission to the clinic. Symptoms that arose during or immediately after SARS-CoV-2 infection and persisted at the time of the evaluation have been included as sequalae of COVID-19 [23,24,25,26].
All patients admitted to our post-COVID-19 outpatient clinic were offered a comprehensive medical assessment. Medical history, current medications, lifestyle habits, marital status, cohabitation status and occupational status were collected in a structured electronic database.
The presence and severity of principal painful symptoms (arthralgia, myalgia, headache, chest pain) were assessed during the visit and concerned both the acute phase and the post-acute phase. For pain severity, a numeric rating scale (NRS) from 0 to 10 was considered (0 corresponds to absence of pain; 10 indicates pain at the maximum level). The use of analgesics was also assessed and a list of oral analgesics was considered as follows: acetaminophen, ibuprofen, other NSAIDs, combination of acetaminophen and ibuprofen, combination of acetaminophen and other analgesic (non-ibuprofen, non-other NSAIDs) [15]. The frequency of use of analgesic therapy was further assessed in those participants who declared to have continued using analgesics during the post-acute COVID-19. The frequency of use was categorized as follows: daily, for several days per week, one week per month, once a week, once a month. Treatment with steroids was assessed only during acute infection.
In addition, information regarding pre- and post-COVID-19 self-rated health was collected using a visual analogic scale (VAS), where 0 indicates worst perceived health status and 100 shows best perceived health status. Information on physical activity levels prior to the acute SARS-CoV-2 infection and at the time of the evaluation was also collected. Regular participation in physical activity was operationalized as the engagement in aerobic physical activity, whether or not it was associated with resistance training, for a minimum of 150 min per week in the last 3 months.
For data presentation purposes, the sample was divided in two groups, according to the need to continue analgesic therapy in the post-acute COVID-19 (group YES: subjects that continued analgesics’ consumption after COVID-19; group NO: subjects who do not consume analgesics after COVID-19). The decision to continue taking analgesics after COVID-19 was made autonomously or under the advice of the general practitioner.
Descriptive statistics were used to describe demographic and key clinical characteristics of the study population: overall and according to analgesic use during the post-acute phase (group YES and group NO). Continuous variables are presented as mean ± standard deviation (SD), and categorical variables are presented as frequencies by absolute value and percentages (%). All data were collected using REDCap, a software that enables structured electronic data collection. Statistical analyses were performed using R statistical environment (version 4.0).
3. Results
Among patients referred to the post-COVID-19 outpatient service of Policlinico Gemelli in Rome between March and November 2022, a sample of 696 individuals still suffering from post-acute symptoms was identified. The YES group represented 6.3% of the total sample. Characteristics of the study population according to the two groups of interest are shown in Table 1. The average amount of days from COVID-19 diagnosis to admission to the outpatient service was 340.86 days. The mean age of the sample was 57.1 ± 20.3, and 430 (61.7%) were females. In our sample, 340 (48.9%) were married, 437 (62.8%) had a full- or part-time occupation and 226 (32.5%) lived with their family during the acute phase of the infection.
In the YES group, 36% were hospitalized and more than 20% required oxygen therapy during the acute phase. Use of analgesic medications in the post-acute COVID-19 was more common in single individuals, who lived alone or were retired. In addition, the prevalence of chronic conditions (cardiovascular, metabolic, autoimmune, gastrointestinal/hepatic, psychiatric, genitourinary, neurological and musculoskeletal diseases) was higher in the YES group, while the prevalence of diabetic individuals or those with cancer was less common or absent. The prevalence of smokers was higher in the NO group.
As reported in Table 2, the most prevalent symptoms during COVID-19 were fever, fatigue, arthralgia, myalgia and headache. The NO group manifested sore throat more frequently in the post-acute phase, although it was not associated with the need to take analgesic therapy. Approximately 40% of individuals in the two groups have taken steroids and acetaminophen during COVID-19, followed by ibuprofen (22%). The most common analgesics used in the post COVID-19 were the following: acetaminophen (31%), ibuprofen (31%), other NSAID (29.5%) and a combination of acetaminophen with other analgesic (11.4%). In the post COVID-19 phase, the frequency of acetaminophen’s consumption was once or several times a week; for ibuprofen, it was several times a week, followed by daily or once a week. Individuals in the NO group took supplements more frequently in the post-acute phase. Although the median severity of pain did not change between the two phases, the majority of individuals in the YES group referred an improvement in pain perception after taking analgesic therapy (84%).
Regarding solely participants aged over 65 years old (Table 3 and Table 4), steroids were taken by nearly 50% of subjects during the acute phase of COVID-19. The consumption of acetaminophen and ibuprofen was frequent during acute COVID-19, but lower than the total sample. A large number of participants aged 65 years old in the YES group manifested post-COVID-19 arthralgia and myalgia. In contrast with the total sample, acetaminophen was the most commonly used analgesic (54%). Alternatively, the most-used analgesics were a combination of acetaminophen and other analgesic (27%) or ibuprofen (18%). The frequency of acetaminophen’s consumption was several times a week.
4. Discussion
We conducted a descriptive study to investigate the use of first-line oral analgesics in a sample of individuals affected by long COVID. We noticed that a high proportion of the study population did not declare to use any analgesics in the post-acute COVID-19. While we found a higher proportion of individuals who had been hospitalized for COVID-19 in the group of participants who continued analgesics during the post-acute phase, our data show that older participants, who are usually more severely affected by COVID-19, referred to have discontinued analgesics in this phase. Most likely the perception of pain in this category of patients, and consequently the level of self-rated health, is different from younger individuals and undermined by older subjects who might tend to be more accustomed to musculoskeletal symptoms [27]. Furthermore, a recent meta-analysis has shown that the frequency of myalgia and arthralgia in acute COVID-19 is similar between hospitalized and non-hospitalized patients, although the incidence of these symptoms tends to be higher in hospitalized subjects up 60 to 90 days after first viral detection [28]. As seen in those who did not continue to take analgesics in the post-acute phase, we cannot undermine the role of supplements that are often used in long-term management of persistent post-COVID-19 symptoms [11,29,30,31,32].
Among those who continued using analgesics in the post-acute COVID-19, we found a high percentage of women, while the use of analgesics was less frequent amongst subjects with diabetes or cancer and smokers. Women, in fact, tend to suffer from long COVID symptoms more than men [33,34]. On the other hand, pain perception in diabetes tends to be impaired, especially in patients who develop painful and non-painful diabetic neuropathy [35], and several molecular mechanisms co-participate in the deterioration of small nerve fiber function that alter the pain threshold in diabetic subjects [35], while participants with cancer might have already been treated with other pain medications such as opioids to cope with cancer pain, being that first-line analgesics were insufficient to manage it [36,37]. Finally, evidence has demonstrated that individuals manifesting pain are more reluctant to quit smoking [38]. Indeed, the urge to smoke for pain relief is strictly associated with pain severity [39].
Concerning the type of oral first-line analgesics, we found that one third of our sample consumed acetaminophen and one of five participants used ibuprofen during acute COVID-19. Although acetaminophen and NSAIDs are not indicated in the treatment of acute COVID-19 by international guidelines, these medications represent effective drugs to control fever and sore throat [40,41]. Current literature reports only one randomized trial that emphasizes the role of naproxen in the improvement of acute COVID-19 symptoms such as cough or shortness of breath [42]. Nevertheless, prior treatment with NSAIDs is associated with a decreased risk of severe COVID-19 and death [43]. The frequency of steroids assumption in our sample was higher among older subjects, probably in relation to disease severity and hospitalization rate [44]. Amongst the group that continued using analgesics in the post-acute phase of COVID-19, we found that the most common-used drugs were acetaminophen and NSAIDs. Half of the individuals that consumed NSAIDs choose ibuprofen, which is one the most effective non-opioid oral pain medications and is generally appropriated for the management of acute pain [45]. First-line analgesics, particularly NSAIDs, are effective in controlling pain severity related to osteoarthritis [46]. Several studies have demonstrated the superiority of ibuprofen to acetaminophen for the management of acute pain, migraine and osteoarthritis [19]. A combination of acetaminophen and ibuprofen could represent a valid option for pain control [19], although the long-term use of ibuprofen is associated with increased risk of peptic ulcer, chronic kidney injury and heart failure [47,48,49]. Moreover, the use of NSAIDs during acute COVID-19 might augment the risk of stroke [43]. When addressing older adults, acetaminophen or a combination with acetaminophen and other analgesic, which are associated with less severe side effects, should be preferred [50]. Finally, during the post-acute phase of COVID-19, those who continued using analgesics said that they consumed them frequently in response to pain because of the beneficial effect of the therapy and temporary reduction in pain severity.
This study has several limitations. The descriptive nature of this study does not permit the capture of significant changes in pain perception over time, nor does it assess potential correlation or derive any conclusion on association of presence of pain, Long COVID and the use of different first-line analgesics. Furthermore, the evaluation of pain severity with validated scales was not available. We also lack information about the use of analgesic medications before COVID-19. Finally, although our sample included predominantly unselected patients with painful and non-painful post-COVID-19 symptoms attending an outpatient service, a selection bias cannot be ruled out.
5. Conclusions
We described the use of oral first-line analgesics during COVID-19 and after the infection in a sample of COVID-19 survivors with post-acute symptoms. The use of analgesics is more common in those manifest post-COVID-19 arthralgia and myalgia. Acetaminophen and ibuprofen are the most-used pain medications during COVID-19. Among oral first-line analgesics, post-acute COVID-19 patients choose acetaminophen, ibuprofen or another NSAIDs, while older subjects prefer to consume acetaminophen or a combination of acetaminophen and another analgesic. The frequency of analgesics’ consumption is often “several times a week”. Most individuals refer to an improvement in pain perception after starting analgesic therapy. However, considering that post-acute COVID-19 symptoms can persist for several months, self-management of pain should not be encouraged and all COVID-19 patients with long-term effects should be referred to specialists or assessed by a multidisciplinary team to tailor a patient-center care plan and avoid potential adverse events or risk of addiction. Future studies are warranted to assess which medications might be appropriated to obtain pain relief following Sars-CoV-2 infection and if the consumption of first-line analgesics might be effective and safe in acute and post-acute COVID-19 management.
Author Contributions
Conceptualization, V.G., F.C., M.T. and F.L.; Methodology, M.B.Z. and R.C.; Formal Analysis, V.G. and M.B.Z.; Investigation, V.G, F.C., A.B., A.P., V.V. and E.G.; Data Curation, V.G, M.B.Z. and M.T.; Writing—Original Draft Preparation, V.G., M.B.Z. and F.C.; Writing—Review and Editing, M.T. and F.L.; Supervision, E.G. and F.L. All authors have read and agreed to the published version of the manuscript.
Funding
This study was unconditional supported by Angelini Pharma, Fondazione Angelini, Fondazione Memmo, Danone, Nutricia.
Institutional Review Board Statement
The study was approved by the Ethics Committee of the Università Cattolica del Sacro Cuore (Rome, Italy) (IRB number: 32/20).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
All the data and material are available.
Acknowledgments
This work was supported by the Italian Ministry of Health—Ricerca Corrente 2022. The Gemelli Against COVID-19 Post-Acute Care Study Group is composed as follows: Steering committee: Landi Francesco, Gremese Elisa. Coordination: Bernabei Roberto, Fantoni Massimo, Gasbarrini Antonio. Field investigators: Gastroenterology team: Porcari Serena, Settanni Carlo Romano. Geriatric team: Benvenuto Francesca, Bramato Giulia, Brandi Vincenzo, Carfì Angelo, Ciciarello Francesca, Fabrizi Sofia, Galluzzo Vincenzo, Lo Monaco Maria Rita, Martone Anna Maria, Marzetti Emanuele, Napolitano Carmen, Pagano Francesco Cosimo, Pais Cristina, Rocchi Sara, Rota Elisabetta, Salerno Andrea, Tosato Matteo, Tritto Marcello, Zazzara Maria Beatrice, Calvani Riccardo, Catalano Lucio, Picca Anna, Savera Giulia, Damiano Francesco Paolo, Rocconi Alessandra, Galliani Alessandro, Spaziani Giovanni, Tupputi Salvatore, Cocchi Camilla, Pirone Flavia, D’Ignazio Federica, Cacciatore Stefano, Recupero Carla, Massaro Claudia, Elmi Daniele, Simoni Sofia, Ambrosio Fiorella, Gava Giordana, Tagliacozzi Elena, Ragozzino Rosa, Notari Maria Vittoria, Labriola Rosangela, Bulla Modestina, Giordano Giulia, Agostino Clara, Giovenale Francesca, Rubini Chiara, Risoli Antonella. Infectious disease team: Cauda Roberto, Tamburrini Enrica, Borghetti A, Di Giambenedetto Simona, Murri Rita, Cingolani Antonella, Ventura Giulio, Taddei E, Moschese D, Ciccullo A, Dusina A, Seguiti C. Internal Medicine team: Stella Leonardo, Addolorato Giovanni, Franceschi Francesco, Mingrone Gertrude, Zocco MA. Microbiology team: Sanguinetti Maurizio, Cattani Paola, Marchetti Simona, Posteraro Brunella, Sali M. Neurology team: Bizzarro Alessandra, Lauria Alessandra. Ophthalmology team: Rizzo Stanislao, Savastano Maria Cristina, Gambini G, Cozzupoli GM, Culiersi C. Otolaryngology team: Passali Giulio Cesare, Paludetti Gaetano, Galli Jacopo, Crudo F, Di Cintio G, Longobardi Y, Tricarico L, Santantonio M. Pediatric team: Buonsenso Danilo, Valentini P, Pata D, Sinatti D, De Rose C. Pneumology team: Richeldi Luca, Lombardi Francesco, Calabrese A, Leone Paolo Maria, Calvello Maria Rosaria, Intini Enrica, Montemurro Giuliano. Psychiatric team: Sani Gabriele, Janiri Delfina, Simonetti Alessio, Giuseppin G, Molinaro M, Modica M. Radiology team: Natale Luigi, Larici Anna Rita, Marano Riccardo. Rheumatology team: Paglionico Annamaria, Petricca Luca, Varriano V, Gigante Luca, Natalello G, Fedele AL, Lizzio MM, Tolusso B, Di Mario Clara, Alivernini S. Vascular team: Santoliquido Angelo, Santoro Luca, Di Giorgio Angela, Nesci Antonio, Popolla V.
Conflicts of Interest
None of the participants in the Gemelli Against COVID-19 Post-Acute Care Study Group has any conflict of interest.
References
- Pascarella, G.; Strumia, A.; Piliego, C.; Bruno, F.; Del Buono, R.; Costa, F.; Scarlata, S.; Agrò, F.E. COVID-19 diagnosis and management: A comprehensive review. J. Intern. Med. 2020, 288, 192–206. [Google Scholar] [CrossRef] [PubMed]
- Vadász, I.; Husain-Syed, F.; Dorfmüller, P.; Roller, F.C.; Tello, K.; Hecker, M.; E Morty, R.; Gattenlöhner, S.; Walmrath, H.-D.; Grimminger, F.; et al. Severe organising pneumonia following COVID-19. Thorax 2021, 76, 201–204. [Google Scholar] [CrossRef] [PubMed]
- Attaway, A.H.; Scheraga, R.G.; Bhimraj, A.; Biehl, M.; Hatipoğlu, U. Severe COVID-19 pneumonia: Pathogenesis and clinical management. BMJ 2021, 372, n436. [Google Scholar] [CrossRef] [PubMed]
- Parasher, A. COVID-19: Current understanding of its Pathophysiology, Clinical presentation and Treatment. Postgrad. Med. J. 2020, 97, 312–320. [Google Scholar] [CrossRef] [PubMed]
- Gemelli Against COVID-19 Post-Acute Care Study Group. Post-COVID-19 global health strategies: The need for an interdisciplinary approach. Aging Clin. Exp. Res. 2020, 32, 1613–1620. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Post COVID-19 Condition (Long COVID). Available online: https://www.who.int/europe/news-room/fact-sheets/item/post-covid-19-condition (accessed on 7 December 2022).
- Carfì, A.; Bernabei, R.; Landi, F. Persistent Symptoms in Patients After Acute COVID-19. JAMA 2020, 324, 603–605. [Google Scholar] [CrossRef]
- Chhabra, N.; Grill, M.F.; Singh, R.B.H. Post-COVID Headache: A Literature Review. Curr. Pain Headache Rep. 2022, 26, 835–842. [Google Scholar] [CrossRef]
- Bohmwald, K.; Gálvez, N.M.S.; Ríos, M.; Kalergis, A.M. Neurologic Alterations Due to Respiratory Virus Infections. Front. Cell. Neurosci. 2018, 12, 386. [Google Scholar] [CrossRef]
- Su, S.; Cui, H.; Wang, T.; Shen, X.; Ma, C. Pain: A potential new label of COVID-19. Brain Behav. Immun. 2020, 87, 159–160. [Google Scholar] [CrossRef]
- Tana, C.; Bentivegna, E.; Cho, S.-J.; Harriott, A.M.; García-Azorín, D.; Labastida-Ramirez, A.; Ornello, R.; Raffaelli, B.; Beltrán, E.R.; Ruscheweyh, R.; et al. Long COVID headache. J. Headache Pain 2022, 23, 93. [Google Scholar] [CrossRef]
- Ahmad, I.; Rathore, F.A. Neurological manifestations and complications of COVID-19: A literature review. J. Clin. Neurosci. 2020, 77, 8–12. [Google Scholar] [CrossRef] [PubMed]
- Fiala, K.; Martens, J.; Abd-Elsayed, A. Post-COVID Pain Syndromes. Curr. Pain Headache Rep. 2022, 26, 379–383. [Google Scholar] [CrossRef] [PubMed]
- Stefanou, M.-I.; Palaiodimou, L.; Bakola, E.; Smyrnis, N.; Papadopoulou, M.; Paraskevas, G.P.; Rizos, E.; Boutati, E.; Grigoriadis, N.; Krogias, C.; et al. Neurological manifestations of long-COVID syndrome: A narrative review. Ther. Adv. Chronic Dis. 2022, 13, 20406223221076890. [Google Scholar] [CrossRef] [PubMed]
- Amaechi, O.; Human, M.M.; Featherstone, K. Pharmacologic Therapy for Acute Pain. Am. Fam. Physician 2021, 104, 63–72. [Google Scholar] [PubMed]
- Kushner, P.; McCarberg, B.H.; Grange, L.; Kolosov, A.; Haveric, A.L.; Zucal, V.; Petruschke, R.; Bissonnette, S. The use of non-steroidal anti-inflammatory drugs (NSAIDs) in COVID-19. NPJ Prim. Care Respir. Med. 2022, 32, 35. [Google Scholar] [CrossRef]
- Moore, A.R.; Derry, S.; Wiffen, P.J.; Straube, S.; Bendtsen, L. Evidence for efficacy of acute treatment of episodic tension-type headache: Methodological critique of randomised trials for oral treatments. Pain 2014, 155, 2220–2228. [Google Scholar] [CrossRef]
- Rabbie, R.; Derry, S.; Moore, R.A. Ibuprofen with or without an antiemetic for acute migraine headaches in adults. Cochrane Database Syst. Rev. 2013, 2019, CD008039. [Google Scholar] [CrossRef]
- Moore, R.; Derry, S.; Wiffen, P.; Straube, S.; Aldington, D. Overview review: Comparative efficacy of oral ibuprofen and paracetamol (acetaminophen) across acute and chronic pain conditions. Eur. J. Pain 2015, 19, 1213–1223. [Google Scholar] [CrossRef]
- Derry, S.; Moore, R.A. Paracetamol (acetaminophen) with or without an antiemetic for acute migraine headaches in adults. Cochrane Database Syst. Rev. 2013, 2019, CD008040. [Google Scholar] [CrossRef]
- Towheed, T.; Maxwell, L.; Judd, M.; Catton, M.; Hochberg, M.C.; Wells, G.A. Acetaminophen for osteoarthritis. Cochrane Database Syst. Rev. 2006, 2006, CD004257. [Google Scholar] [CrossRef]
- Moore, A.R.; Eccleston, C.; Derry, S.; Wiffen, P.; Bell, R.F.; Straube, S.; McQuay, H. “Evidence” in chronic pain—Establishing best practice in the reporting of systematic reviews. Pain 2010, 150, 386–389. [Google Scholar] [CrossRef]
- Wang, F.; Kream, R.M.; Stefano, G.B. Long-Term Respiratory and Neurological Sequelae of COVID-19. Experiment 2020, 26, e928996-1. [Google Scholar] [CrossRef] [PubMed]
- Tajbakhsh, A.; Gheibi Hayat, S.M.; Taghizadeh, H.; Akbari, A.; Inabadi, M.; Savardashtaki, A.; Johnston, T.P.; Sahebkar, A. COVID-19 and cardiac injury: Clinical manifestations, biomarkers, mechanisms, diagnosis, treatment, and follow up. Expert Rev. Anti. Infect. Ther. 2021, 19, 345–357. [Google Scholar] [CrossRef] [PubMed]
- Tosato, M.; Carfì, A.; Martis, I.; Pais, C.; Ciciarello, F.; Rota, E.; Tritto, M.; Salerno, A.; Zazzara, M.B.; Martone, A.M.; et al. Prevalence and Predictors of Persistence of COVID-19 Symptoms in Older Adults: A Single-Center Study. J. Am. Med. Dir. Assoc. 2021, 22, 1840–1844. [Google Scholar] [CrossRef] [PubMed]
- Galluzzo, V.; Ciciarello, F.; Tosato, M.; Zazzara, M.B.; Pais, C.; Savera, G.; Calvani, R.; Picca, A.; Marzetti, E.; Landi, F. Association between vitamin D status and physical performance in COVID-19 survivors: Results from the Gemelli against COVID-19 post-acute care project. Mech. Ageing Dev. 2022, 205, 111684. [Google Scholar] [CrossRef]
- Lautenbacher, S.; Peters, J.H.; Heesen, M.; Scheel, J.; Kunz, M. Age changes in pain perception: A systematic-review and meta-analysis of age effects on pain and tolerance thresholds. Neurosci. Biobehav. Rev. 2017, 75, 104–113. [Google Scholar] [CrossRef]
- Fernández-De-Las-Peñas, C.; Navarro-Santana, M.P.; Plaza-Manzano, G.; Palacios-Ceña, D.; Arendt-Nielsen, L.D.M. Time course prevalence of post-COVID pain symptoms of musculoskeletal origin in patients who had survived severe acute respiratory syndrome coronavirus 2 infection: A systematic review and meta-analysis. Pain 2022, 163, 1220–1231. [Google Scholar] [CrossRef]
- Tosato, M.; Calvani, R.; Picca, A.; Ciciarello, F.; Galluzzo, V.; Coelho-Júnior, H.J.; Di Giorgio, A.; Di Mario, C.; Gervasoni, J.; Gremese, E.; et al. Effects of l-Arginine Plus Vitamin C Supplementation on Physical Performance, Endothelial Function, and Persistent Fatigue in Adults with Long COVID: A Single-Blind Randomized Controlled Trial. Nutrients 2022, 14, 4984. [Google Scholar] [CrossRef]
- VGalluzzo, V.; Zazzara, M.B.; Ciciarello, F.; Savera, G.; Pais, C.; Calvani, R.; Picca, A.; Marzetti, E.; Landi, F.; Tosato, M.; et al. Fatigue in Covid-19 survivors: The potential impact of a nutritional supplement on muscle strength and function. Clin. Nutr. ESPEN 2022, 51, 215–221. [Google Scholar] [CrossRef]
- Aiyegbusi, O.L.; E Hughes, S.; Turner, G.; Rivera, S.C.; McMullan, C.; Chandan, J.S.; Haroon, S.; Price, G.; Davies, E.H.; Nirantharakumar, K.; et al. Symptoms, complications and management of long COVID: A review. J. R. Soc. Med. 2021, 114, 428–442. [Google Scholar] [CrossRef]
- Jarrott, B.; Head, R.; Pringle, K.G.; Lumbers, E.R.; Martin, J.H. “LONG COVID”—A hypothesis for understanding the biological basis and pharmacological treatment strategy. Pharmacol. Res. Perspect. 2022, 10, e00911. [Google Scholar] [CrossRef] [PubMed]
- Asadi-Pooya, A.A.; Akbari, A.; Emami, A.; Lotfi, M.; Rostamihosseinkhani, M.; Nemati, H.; Barzegar, Z.; Kabiri, M.; Zeraatpisheh, Z.; Farjoud-Kouhanjani, M.; et al. Risk Factors Associated with Long COVID Syndrome: A Retrospective Study. Iran J. Med. Sci. 2021, 46, 428–436. [Google Scholar] [CrossRef] [PubMed]
- Global Burden of Disease Long COVID Collaborators; Hanson, S.W.; Abbafati, C.; Aerts, J.G.; Al-Aly, Z.; Ashbaugh, C.; Ballouz, T.; Blyuss, O.; Bobkova, P.; Bonsel, G.; et al. Estimated Global Proportions of Individuals with Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021. JAMA 2022, 328, 1604. [Google Scholar] [CrossRef]
- Sierra-Silvestre, E.; Bisset, L.; Coppieters, M.W. Altered pain processing in people with type I and II diabetes: A protocol for a systematic review and meta-analysis of pain threshold and pain modulation mechanisms. Syst. Rev. 2018, 7, 222. [Google Scholar] [CrossRef] [PubMed]
- Glare, P.; Aubrey, K.; Gulati, A.; Lee, Y.C.; Moryl, N.; Overton, S. Pharmacologic Management of Persistent Pain in Cancer Survivors. Drugs 2022, 82, 275–291. [Google Scholar] [CrossRef]
- Paice, J.A. Pain in Cancer Survivors: How to Manage. Curr. Treat. Options Oncol. 2019, 20, 48. [Google Scholar] [CrossRef]
- Robinson, C.L.; Kim, R.S.; Li, M.; Ruan, Q.Z.; Surapaneni, S.; Jones, M.; Pak, D.J.; Southerland, W. The Impact of Smoking on the Development and Severity of Chronic Pain. Curr. Pain Headache Rep. 2022, 26, 575–581. [Google Scholar] [CrossRef]
- Kosiba, J.D.; Zale, E.; Ditre, J.W. Associations between pain intensity and urge to smoke: Testing the role of negative affect and pain catastrophizing. Drug Alcohol Depend. 2018, 187, 100–108. [Google Scholar] [CrossRef]
- A Pierce, C.; Voss, B. Efficacy and Safety of Ibuprofen and Acetaminophen in Children and Adults: A Meta-Analysis and Qualitative Review. Ann. Pharmacother. 2010, 44, 489–506. [Google Scholar] [CrossRef]
- Krüger, K.; Töpfner, N.; Berner, R.; Windfuhr, J.; Oltrogge, J.H. Sore Throat. Dtsch. Arztebl. Int. 2021, 118, 188–194. [Google Scholar] [CrossRef]
- Asadi, M.; Sayar, S.; Radmanesh, E.; Naghshi, S.; Mousaviasl, S.; Jelvay, S.; Ebrahimzadeh, M.; Mohammadi, A.; Abbasi, S.; Mobarak, S.; et al. Efficacy of naproxen in the management of patients hospitalized with COVID-19 infection: A randomized, double-blind, placebo-controlled, clinical trial. Diabetes Metab. Syndr. Clin. Res. Rev. 2021, 15, 102319. [Google Scholar] [CrossRef] [PubMed]
- Zhao, H.; Huang, S.; Huang, S.; Liu, F.; Shao, W.; Mei, K.; Ma, J.; Jiang, Y.; Wan, J.; Zhu, W.; et al. Prevalence of NSAID use among people with COVID-19 and the association with COVID-19-related outcomes: Systematic review and meta-analysis. Br. J. Clin. Pharmacol. 2022, 88, 5113–5127. [Google Scholar] [CrossRef] [PubMed]
- Thakur, M.; Datusalia, A.K.; Kumar, A. Use of steroids in COVID-19 patients: A meta-analysis. Eur. J. Pharmacol. 2022, 914, 174579. [Google Scholar] [CrossRef] [PubMed]
- Pergolizzi, J.V.; Magnusson, P.; LeQuang, J.A.; Breve, F.; Taylor, R.; Wollmuth, C.; Varrassi, G. Can NSAIDs and Acetaminophen Effectively Replace Opioid Treatment Options for Acute Pain? Expert Opin. Pharmacother. 2021, 22, 1119–1126. [Google Scholar] [CrossRef] [PubMed]
- da Costa, B.R.; Pereira, T.V.; Saadat, P.; Rudnicki, M.; Iskander, S.M.; Bodmer, N.S.; Bobos, P.; Gao, L.; Kiyomoto, H.D.; Montezuma, T.; et al. Effectiveness and safety of non-steroidal anti-inflammatory drugs and opioid treatment for knee and hip osteoarthritis: Network meta-analysis. BMJ 2021, 375, n2321. [Google Scholar] [CrossRef] [PubMed]
- Bindu, S.; Mazumder, S.; Bandyopadhyay, U. Non-steroidal anti-inflammatory drugs (NSAIDs) and organ damage: A current perspective. Biochem. Pharmacol. 2020, 180, 114147. [Google Scholar] [CrossRef] [PubMed]
- Harirforoosh, S.; Asghar, W.; Jamali, F. Adverse effects of nonsteroidal antiinflammatory drugs: An update of gastrointestinal, cardiovascular and renal complications. J. Pharm. Pharm. Sci. 2014, 16, 821–847. [Google Scholar] [CrossRef]
- Arfè, A.; Scotti, L.; Varas-Lorenzo, C.; Nicotra, F.; Zambon, A.; Kollhorst, B.; Schink, T.; Garbe, E.; Herings, R.; Straatman, H.; et al. Non-steroidal anti-inflammatory drugs and risk of heart failure in four European countries: Nested case-control study. BMJ 2016, 354, i4857. [Google Scholar] [CrossRef]
- Franceschi, F.; Iacomini, P.; Marsiliani, D.; Cordischi, C.; Antonini, E.F.S.; Alesi, A.; Giacobelli, D.; Zuccalà, G. Safety and efficacy of the combination acetaminophen-codeine in the treatment of pain of different origin. Eur. Rev. Med. Pharmacol. Sci. 2013, 17, 2129–2135. [Google Scholar]
Table 1.
Characteristics of study population according to the need to continue analgesic therapy in the post-acute COVID-19 (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
Table 1.
Characteristics of study population according to the need to continue analgesic therapy in the post-acute COVID-19 (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
| Total Sample (n: 696) | Yes (n: 44) | No (n: 652) | |
|---|---|---|---|
| General and Clinical Characteristics | |||
| Female (%) | 430 (61.7%) | 36 (81%) | 394 (60%) |
| Age (mean ± ds) | 57.1 (20.3) | 51.5 (15.9) | 57.5 (20.5) |
| Age (median) [range] | 43 [22–89] | 49 [22–89] | 43 [18–72] |
| Body Mass Index (BMI) (m2/kg) (mean ± ds) | 25.9 (5.25) | 27.3 (6.0) | 25.8 (5.25) |
| Marital status | |||
| Married | 340 (48.9%) | 22 (50%) | 318 (48.8%) |
| Divorced | 82 (11.8%) | 2 (4.45%) | 80 (12.3%) |
| In other type of relationship | 8 (0.9%) | 6 (13.6%) | 2 (0.3%) |
| Separated | 26 (3.7%) | 2 (4.45%) | 24 (3.7%) |
| Widowed | 23 (3.3%) | 1 (2.27%) | 22 (3.4%) |
| Single | 41 (5.9%) | 11 (25%) | 30 (4.6%) |
| Cohabitation status | |||
| Alone | 96 (13.8%) | 9 (20.45%) | 87 (13.3%) |
| With only the partner | 170 (24.4%) | 13 (29.5%) | 157 (24%) |
| With only the sons | 39 (5.6%) | 3 (6.8%) | 36 (5.5%) |
| With partner and sons | 226 (32.5%) | 15 (30.1%) | 211 (32%) |
| With parents | 48 (6.9%) | 2 (4.45%) | 46 (7%) |
| With brothers | 2 (0.3%) | 0 | 2 (0.3%) |
| With other relatives | 9 (1.3%) | 2 (4.45%) | 7 (1%) |
| Occupational status | |||
| Employed | 437 (62.8%) | 28 (63.6%) | 409 (62.7%) |
| Unemployed | 73 (10.5%) | 5 (11.36%) | 68 (10.4%) |
| Retired | 95 (13.6%) | 10 (22.7%) | 85 (13%) |
| Other | 16 (2.3%) | 1 (2.27%) | 15 (2.3%) |
| Comorbidities | |||
| Hypertension | 139 (20%) | 9 (20.45%) | 121 (18.6%) |
| Atrial Fibrillation | 19 (2.7%) | 3 (6.8%) | 16 (2.5%) |
| Other CV Diseases | 52 (7.5%) | 5 (11.36%) | 47 (7.2%) |
| Diabetes | 57 (8.2%) | 1 (2.27%) | 56 (8.6%) |
| Other Metabolic Disorders | 41 (5.9%) | 4 (9.1%) | 37 (5.7%) |
| Thyroid Diseases | 177 (25.4%) | 15 (30.1%) | 162 (24.8%) |
| COPD/asthma/OSAS | 35 (5%) | 3 (6.8%) | 32 (4.9%) |
| Autoimmune Diseases | 59 (8.5%) | 5 (11.36%) | 54 (8.3%) |
| Liver and Gastrointestinal Diseases | 50 (7.2%) | 12 (27.27%) | 38 (5.8%) |
| Renal failure | 13 (1.9%) | 1 (2.27%) | 12 (1.8%) |
| Psychiatric Diseases | 21 (3%) | 5 (11.36%) | 16 (2.5%) |
| Genitourinary Diseases | 32 (4.6%) | 7 (15.9%) | 25 (3.8%) |
| Nervous System Diseases | 33 (4.7%) | 4 (9.1%) | 29 (4.4%) |
| Musculoskeletal Diseases | 13 (1.9%) | 6 (13.6%) | 7 (1%) |
| Cancer | 12 (1.7%) | 0 | 12 (1.8%) |
| Tobacco Use | |||
| Never smoke | 443 (63.6%) | 25 (56%) | 418 (64%) |
| Former smoker | 166 (23.9%) | 13 (29.5%) | 153 (23.5%) |
| Smoker | 78 (11.2%) | 3 (6.8%) | 75 (11.5%) |
| Therapies and Allergies | |||
| Number of daily medications (median) [range] | 1 [0–13] | 1 [0–11] | 1 [0–13] |
| Subjects with allergies | 224 (32.2%) | 16 (36%) | 208 (32%) |
| Subjects with allergies to medications | 97 (14%) | 9 (20.45%) | 88 (13.5%) |
| COVID-19 | |||
| Average days from COVID-19 diagnosis (mean ± ds) | 340.86 (197.36) | 324.27 (225.97) | 341.98 (197.92) |
| Hospital admission | 154 (22%) | 16 (36%) | 136 (20.8%) |
| ICU admission | 22 (3.2%) | 3 (6.8%) | 19 (2.9%) |
| O2 support | 88 (12.6%) | 9 (20.45%) | 79 (12%) |
| NIV | 37 (5.3%) | 4 (9.1%) | 33 (5%) |
| Invasive Ventilation | 12 (1.7%) | 2 (4.45%) | 10 (1.5%) |
| Sars-CoV-2 Vaccination * | 585 (84%) | 37 (84%) | 548 (89.6%) |
* at least one dose. CV: Cardiovascular. COPD: Chronic obstructive pulmonary disease. OSAS: Obstructive sleep apnea syndrome. ICU: Intensive care unit. NIV: Non-invasive ventilation.
Table 2.
Symptoms during and after COVID-19 and utilization of analgesic therapies in the groups of interest (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
Table 2.
Symptoms during and after COVID-19 and utilization of analgesic therapies in the groups of interest (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
| Total Sample (n: 696) | Yes (n: 44) | No (n: 652) | ||||
|---|---|---|---|---|---|---|
| During COVID | After COVID | During COVID | After COVID | During COVID | After COVID | |
| Symptoms | ||||||
| Arthralgia | 305 (44%) | 151 (22%) | 26 (59%) | 24 (54%) | 279 (43%) | 127 (20%) |
| ➢ Severity (Median) (Range) | 8 (2–10) | 8 (3–10) | 8 (6–10) | 8 (3–10) | 8 (2–10) | 8 (3–10) |
| Myalgia | 337 (48%) | 174 (25%) | 32 (72%) | 29 (65%) | 305 (47%) | 145 (22%) |
| ➢ Severity (Median) (Range) | 8 (0–10) | 7 (3–10) | 8 (5–10) | 8 (3–10) | 8 (0–10) | 7 (3–10) |
| Headache | 323 (46%) | 140 (20%) | 31 (70%) | 18 (40%) | 292 (45%) | 122 (19%) |
| ➢ Severity (Median) (Range) | 7 (2–10) | 7 (2–10) | 8 (2–10) | 7.5 (3–10) | 7 (2–10) | 7 (2–10) |
| Chest pain | 177 (25%) | 72 (10%) | 17 (38%) | 4 (9%) | 160 (25%) | 68 (10%) |
| ➢ Severity (Median) 8(Range) | 7 (2–10) | 7 (2–10) | 7.5 (5–10) | 7 (7–9) | 7 (2–10) | 7 (2–10) |
| Sore throat | 242 (35%) | 18 (2.6%) | 15 (34%) | 0 | 227 (35%) | 18 (3%) |
| Fever | 459 (66%) | 9 (1.3%) | 37 (84%) | 1 (2.27%) | 422 (68%) | 8 (1%) |
| Fatigue | 490 (70%) | 430 (62%) | 41 (93%) | 33 (75%) | 449 (69%) | 397 (61%) |
| GORD | 82 (12%) | 73 (11%) | 14 (31%) | 3 (6.8%) | 68 (10%) | 70 (11%) |
| Cough | 354 (51%) | 56 (8%) | 29 (66%) | 3 (6.8%) | 325 (50%) | 53 (8%) |
| Dizziness | 118 (17%) | 50 (7%) | 17 (38%) | 5 (11.4%) | 101 (15%) | 45 (7%) |
| Dyspnea | 303 (44%) | 281 (40%) | 24 (54%) | 25 (56%) | 279 (43%) | 256 (39%) |
| Brain fog | 119 (17%) | 163 (23%) | 17 (38%) | 15 (34%) | 102 (16%) | 148 (23%) |
| Tingles | 85 (12%) | 85 (12%) | 14 (31%) | 15 (34%) | 71 (11%) | 70 (11%) |
| Pharmacological therapies | ||||||
| Steroids | 293 (42%) | 21 (48%) | 272 (42%) | |||
| Acetaminophen | 275 (40%) | 14 (2%) | 19 (44%) | 14 (31%) | 256 (39%) | |
| ➢ Frequency | Daily 1 (7%) Several times/wk 6 (43%) Once a wk 5 (36%) 1 wk per month 1 (7%) Once a month 1 (7%) | |||||
| Acetaminophen and Ibuprofen | 21 (3%) | 1 (0.14%) | 18 (40%) | 1 (2.27%) | 3 (0.5%) | |
| ➢ Frequency | Daily 1(100%) | |||||
| Ibuprofen | 155 (22%) | 14 (2%) | 18 (40%) | 14 (31%) | 137 (21%) | |
| ➢ Frequency | Daily 3 (21%) Several times/wk 7 (50%) Once a wk 4 (29%) | |||||
| Other NSAIDs | 51 (7.3%) | 13 (1.9%) | 2 (4.45%) | 13 (29.5%) | 49 (7.5%) | |
| ➢ Frequency | Daily 2 (14%) Several times/wk 9 (70%) Once a wk 1 (8%) Once a month 1 (8%) | |||||
| Acetaminophen and other analgesic | 4 (0.6%) | 5 (0.72%) | 1 (2.27%) | 5 (11.36%) | 3 (0.5%) | |
| ➢ Frequency | Daily 2 (40%) Several times/wk 3 (60%) | |||||
| Have you noticed an improvement in pain perception as a result of taking analgesic therapy? | Yes 37 (84%) No 7 (16%) | |||||
| Supplements | 160 (23%) | 222 (32%) | 6 (13.6%) | 7 (15.9%) | 154 (24%) | 215 (33%) |
| Homeopathic products | 12 (1.7%) | 12 (1.7%) | 0 | 0 | 12 (1.8%) | 12 (1.8%) |
| Herbal products | 10 (1.4%) | 13 (1.9%) | 0 | 0 | 10 (1.5%) | 13 (2%) |
| Other Characteristics | ||||||
| Before COVID | After COVID | Before COVID | After COVID | Before COVID | After COVID | |
| Regular physical activity | 354 (51%) | 247 (35%) | 21 (47.7%) | 11 (25%) | 333 (51%) | 236 (36%) |
| Self-rated health (Median) [Range] | 82 [20–100] | 65 [0–100] | 80 [30–97] | 50 [0–80] | 83 [20–100] | 70 [0–100] |
GORD: Gastro-esophageal reflux disease. NSAIDs: Non-steroidal anti-inflammatory drugs.
Table 3.
Characteristics of older subjects according to the need to continue analgesic therapy in the post-acute COVID-19 (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
Table 3.
Characteristics of older subjects according to the need to continue analgesic therapy in the post-acute COVID-19 (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
| Older Yes (n: 11) | Older No (n: 109) | |
|---|---|---|
| General and Clinical Characteristics | ||
| Female (%) | 8 (72%) | 62 (57%) |
| Age (mean ± ds) | 73.4 (8.05) | 72.4 (6.27) |
| Age (median) [range] | 73 [65–89] | 71 [65–96] |
| Body Mass Index (BMI) (m2/kg) (mean ± ds) | 27.9 (5.5) | 27.1 (0.82) |
| Marital status | ||
| Married | 8 (73%) | 72 (67%) |
| Separated | 1 (9%) | 11 (10%) |
| Widowed | 1 (9%) | 21 (19%) |
| In other type of relationship | 1 (9%) | 0 |
| Single | 0 | 5 (4%) |
| Cohabitation status | ||
| Alone | 1 (9%) | 17 (16%) |
| With only the partner | 8 (73%) | 71 (65%) |
| With only the sons | 1 (9%) | 8 (7%) |
| With partner and sons | 1 (9%) | 13 (12%) |
| Comorbidities | ||
| Hypertension | 6 (54%) | 46 (42%) |
| Atrial Fibrallation | 3 (27%) | 12 (11%) |
| Other CV Diseases | 0 | 12 (11%) |
| Diabetes | 1 (10%) | 16 (15%) |
| Thyroid Diseases | 6 (54%) | 22 (20%) |
| COPD/Asthma/OSAS | 2 (18%) | 7 (6%) |
| Autoimmune Diseases | 2 (18%) | 2 (2%) |
| Liver and Gastrointestinal Diseases | 1 (10%) | 1 (1%) |
| Renal failure | 1 (10%) | 9 (8%) |
| Cancer | 0 | 1 (1%) |
| Therapies | ||
| Number of daily medications (median) [range] | 3 [1–10] | 3 [0–10] |
| COVID-19 | ||
| Hospital admission | 6 (60%) | 41 (51%) |
| ICU admission | 1 (10%) | 7 (6%) |
| O2 support | 3 (27%) | 33 (30%) |
| NIV | 2 (18%) | 7 (6%) |
| Invasive Ventilation | 1 (10%) | 1 (1%) |
CV: cardiovascular. COPD: Chronic obstructive pulmonary disease. OSAS: Obstructive sleep apnea syndrome. ICU: Intensive care unit. NIV: Non-invasive ventilation.
Table 4.
Symptoms during and after COVID-19 and utilization of analgesic therapies in older subjects (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
Table 4.
Symptoms during and after COVID-19 and utilization of analgesic therapies in older subjects (YES: those who continued taking analgesics in the post-acute phase; NO: those who did not).
| Older Yes (n: 10) | Older No (n: 109) | |||
|---|---|---|---|---|
| During COVID | After COVID | During COVID | After COVID | |
| Symptoms | ||||
| Arthralgia | 8 (72%) | 10 (91%) | 41 (38%) | 26 (24%) |
| ➢ Severity (Median) [Range] | 9 [6–10] | 8 [7–10] | 8 [3–10] | 8 [4–9] |
| Myalgia | 8 (72%) | 10 (91%) | 39 (36%) | 25 (23%) |
| ➢ Severity (Median) [Range] | 9 [6–10] | 8 [7–10] | 8 [3–10] | 7 [4–9] |
| Headache | 5 (45%) | 2 (18%) | 27 (25%) | 14 (13%) |
| ➢ Severity (Median) [Range] | 7 [3–9] | 5 [3–7] | 8 [3–10] | 7 [3–9] |
| Chest pain | 3 (27%) | 0 | 17 (16%) | 7 (6%) |
| ➢ Severity (Median) [Range] | 6.5 [6–7] | 0 | 8 [3–9] | 4 [4–9] |
| Sore throat | 3 (27%) | 0 | 22 (20%) | 0 |
| Fever | 9 (82%) | 1 (10%) | 81 (74%) | 0 |
| Fatigue | 10 (91%) | 6 (54%) | 76 (70%) | 69 (63%) |
| GORD | 2 (18%) | 1 (10%) | 6 (6%) | 7 (6%) |
| Cough | 10 (91%) | 2 (18%) | 57 (52%) | 8 (7%) |
| Dizziness | 3 (27%) | 2 (18%) | 12 (11%) | 8 (7%) |
| Dyspnea | 6 (54%) | 5 (45%) | 47 (42%) | 47 (42%) |
| Brain fog | 3 (27%) | 3 (27%) | 12 (11%) | 22 (20%) |
| Tingles | 3 (27%) | 4 (36%) | 9 (8%) | 11 (10%) |
| Pharmacological therapies | ||||
| Steroids | 5 (45%) | 52 (48%) | ||
| Acetaminophen | 3 (27%) | 6 (54%) | 37 (34%) | |
| ➢ Frequency | Several times/wk 4 (66%) Once a wk 1 (17%) 1 wk per month 1 (17%) | |||
| Acetaminophen and Ibuprofen | 0 | 1 (10%) | 0 | |
| ➢ Frequency | Daily 1 (100%) | |||
| Ibuprofen | 2 (18%) | 2 (18%) | 16 (15%) | |
| ➢ Frequency | Daily 1 (50%) Several times/wk 1 (50%) | |||
| Other NSAIDs | 1 (10%) | 1 (10%) | 8 (7%) | |
| ➢ Frequency | Daily 1(100%) | |||
| Acetaminophen and other analgesic | 0 | 3 (27%) | 1 (1%) | |
| ➢ Frequency | Daily 1 (33%) Several times/wk 2 (67%) | |||
| Have you noticed an improvement in pain perception as a result of taking analgesic therapy? | Yes 9 (82%) No 2 (18%) | |||
| Supplements | 1 (10%) | 1 (10%) | 26 (27%) | 34 (31%) |
| Homeopathic products | 0 | 0 | 1 (1%) | 1 (1%) |
| Herbal products | 0 | 0 | 2 (2%) | 1 (1%) |
| Other Characteristics | ||||
| Before COVID | After COVID | During COVID | After COVID | |
| Regular physical activity | 7 (64%) | 4 (36%) | 48 (46%) | 32 (30%) |
| Self-rated health (Median) [Range] | 72 [63–93] | 50 [27–74] | 80 [50–100] | 65 [23–90] |
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Galluzzo, V.; Zazzara, M.B.; Ciciarello, F.; Tosato, M.; Bizzarro, A.; Paglionico, A.; Varriano, V.; Gremese, E.; Calvani, R.; Landi, F., on behalf of Gemelli against COVID-19 Post-Acute Care Team. Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms. J. Clin. Med. 2023, 12, 2992. https://doi.org/10.3390/jcm12082992
AMA Style
Galluzzo V, Zazzara MB, Ciciarello F, Tosato M, Bizzarro A, Paglionico A, Varriano V, Gremese E, Calvani R, Landi F on behalf of Gemelli against COVID-19 Post-Acute Care Team. Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms. Journal of Clinical Medicine. 2023; 12(8):2992. https://doi.org/10.3390/jcm12082992
Chicago/Turabian StyleGalluzzo, Vincenzo, Maria Beatrice Zazzara, Francesca Ciciarello, Matteo Tosato, Alessandra Bizzarro, Annamaria Paglionico, Valentina Varriano, Elisa Gremese, Riccardo Calvani, and Francesco Landi on behalf of Gemelli against COVID-19 Post-Acute Care Team. 2023. "Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms" Journal of Clinical Medicine 12, no. 8: 2992. https://doi.org/10.3390/jcm12082992
APA StyleGalluzzo, V., Zazzara, M. B., Ciciarello, F., Tosato, M., Bizzarro, A., Paglionico, A., Varriano, V., Gremese, E., Calvani, R., & Landi, F., on behalf of Gemelli against COVID-19 Post-Acute Care Team. (2023). Use of First-Line Oral Analgesics during and after COVID-19: Results from a Survey on a Sample of Italian 696 COVID-19 Survivors with Post-Acute Symptoms. Journal of Clinical Medicine, 12(8), 2992. https://doi.org/10.3390/jcm12082992
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