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Case series

Clinical and epidemiological characteristics of patients admitted to the COVID-19 intensive care unit at the Moulay Ismail Military Hospital in Meknes, Morocco

Clinical and epidemiological characteristics of patients admitted to the COVID-19 intensive care unit at the Moulay Ismail Military Hospital in Meknes, Morocco

Ayoub Maaroufi1,&, El M'rabet Ilias1, Omari Mohammed1, Nouredine Jebbar1, Abdellatif Diai1, Hicham Kechna1, Jaouad Laoutid1

 

1Resuscitation Department, Moulay Ismail Military Hospital, Hassan II University Hospital in Fez, Meknes, Morocco

 

 

&Corresponding author
Ayoub Maaroufi, Resuscitation Department, Moulay Ismail Military Hospital, Hassan II University Hospital in Fez, Meknes, Morocco

 

 

Abstract

Morocco has been severely affected by the epidemiology of Coronavirus. In this retrospective, descriptive, and analytical study, we describe sociodemographic, and clinical characteristics and the impact of the vaccine in severe COVID-19 patients hospitalized in the resuscitation department of the Moulay Ismail Military Hospital (MIMH) in Meknes, for four and a half months (Delta wave period). The mean age was 66 years, and 62.9% of the patients were male, 37% were hypertensive and 32% had diabetes. Sixty-four percent (64%) and 60% of the patients had fever and dyspnea as initial symptoms, respectively. Older age (p=0.023) was independently associated with a higher risk of in-hospital death, while vaccination (p=0.003) was a protective factor. Twenty-one patients had a good outcome, yet we recorded 76 deaths. The average length of stay in the ICU of our patients was 8 ± 5 days. Severe forms of COVID-19 had age, male gender, diabetes, high blood pressure, and high CRP on admission as major risk factors, whereas vaccination was a protective factor.

 

 

Introduction    Down

The coronavirus pneumonia epidemic is a Public Health Emergency of International Concern (PHEIC) [1]. According to the latest update of May 17, 2022, COVID-19 is responsible for 6,268,281 confirmed deaths. A huge and alarming figure that has created an unprecedented state of alert in the world [2]. Our study describes the demographic and clinical characteristics of patients with severe forms of COVID-19 admitted to the intensive care unit of the Moulay Ismail Military Hospital (HIMM) in Meknes-Morocco, during four and a half months (Delta wave period), a relatively short period but during which 419,494 cases were infected in Morocco, of which 4.3% were of severe Covidosis and a total number of deaths of 5430 patients [3]. The objective of this study is to study the sociodemographic, and clinical characteristics and the impact of the vaccine in severe COVID-19 patients.

 

 

Methods Up    Down

Study design and population: this is a retrospective descriptive and analytical study of 97 cases of infection by SARS-CoV-2, hospitalized in the resuscitation department of the Moulay Ismail Military Hospital (MIMH) in Meknes, during the second wave (DELTA wave) of the epidemic in Morocco, schematically between 21/06/2021 and 01/11/ 2021 and which lasted 133 days (19 weeks).

Inclusion criteria: included in our study were adult patients over 18 years of age, COVID-19 positive (diagnosis confirmed using real-time reverse transcription polymerase chain reaction (rt-PCR) on a nasopharyngeal swab) and admitted to the intensive care unit at the MIMH, who present signs of acute respiratory distress, a pulse saturation of less than 90% in room air, with the presence of CT lesions compatible with a COVID-19 infection. These patients were transferred to the intensive care unit of the MIMH by the emergency department or by the hospitalization department, COVID-19 of the same hospital.

Exclusion criteria: all patients with incomplete records (clinical, biological, imaging) and those whose stay in the intensive care unit was less than 48 hours; pregnant women and young subjects under 18 years of age.

Data collection: the data was collected from medical records using a data sheet. Data extraction was performed by two reviewers. Entries that were illegible to both reviewers were excluded. The information included: epidemiological data: (age, sex, vaccination profile, CHARLSON score, duration of symptoms before diagnosis, admission method, length of stay in intensive care unit); clinical data: type of symptomatology (particularly respiratory symptoms), pulsed SpO2 saturation (initial SpO2 determined at rest in room air and under 15 L of oxygen (with oxygen goggles or oxygen mask), blood pressure BP, Glasgow Coma Scale (GCS); biological data: blood count (WBC/lymphocytes /PQ), blood ionogram (natremia, Kalemia and fasting blood sugar), liver transaminases (GOT/GPT), renal function (urea, creatinine), biomarkers of inflammation (C-reactive protein, ferritin and procalcitonin) and coagulation (D-dimer); radiological data: a chest CT scan, without contrast, was performed. An evocative image of COVID-19 [4] was found in all the patients. The extension of the radiological lesions was evaluated as a percentage.

Data analysis: study populations were analyzed using simple descriptive statistics; continuous data are summarized by median and interquartile range or median sum (min; max) and categorical data are n (%). Comparisons were made using the student´s t-test for quantitative variables, and the chi-square test for qualitative variables. The date of death and ICU discharge were recorded on day 7 and on day 14 as well. Our study population was divided into 2 populations according to a selection criterion which is the survival at day 7 and day 14, and then the different clinical, biological and radiological parameters of both populations were compared. The statistical analysis was performed using IBM SPSS STATISTICS VERSION (version 25.0). The analysis consisted of two steps: univariate and multivariate analysis, using binary logistic regression, with the use of the Chi-square test and Fisher's exact test for comparison of frequencies within subgroups. The significance level was set at 5% (p<0.05).

Ethical considerations: data collection was carried out for the anonymity of the patients and the confidentiality of their information. Ethics approval was not required due to the registry-based design.

 

 

Results Up    Down

Of the 150 patients admitted to the intensive care unit, a total of 97 patients were included in the study and 53 patients were excluded, either for lack of data or a stay of less than 48 hours in the unit. A total of 61 (62.9%) of the patients were male, i.e. a sex ratio of 1.69, the mean age was 66 years (range, 26-94 years). Regarding pathological history, 36 patients (37%) were hypertensive (complicated or not), 31 (32%) had diabetes, 8 (8%) had cancer in their history, 6 (6%) had chronic renal failure, one patient had HELP syndrome and one was followed for sclerosing cholangitis. Concerning vaccination, 46 (47.4%) of the patients received a complete vaccination schedule. Sixty-two (64%) of the patients had fever as the initial symptom, 59 (60%) had dyspnea, while 44 (45%) and 31 (32%) had asthenia and cough respectively.

The mean saturation on admission was 69% ± 11 and 84% ± 5 on room air and 15 l/min respectively. Lung involvement on chest CT was 63% ± 16. The patients in our series had a biological check-up (CBC, blood Ionogram, CRP, ferritinemia, D-dimer, procalcitonin) and a thoracic CT scan as soon as they were admitted, then a daily check-up was carried out according to the evolution of each patient. All patients received a standardized treatment in the department based on the national protocol for the management of COVID-19; also, each patient received a treatment according to the clinical evolution and the results of the biological assessment. In our study, 21 patients (21.6%) had a good outcome with a decision to transfer to a medical ward, yet we recorded 76 (78.33%) deaths. The average length of stay in the ICU of our patients was 8 ± 5 days (min 3 days and max 25 days).

 

 

Discussion Up    Down

Our study focused on the second wave of the SARS-CoV-2 (DELTA wave) epidemic in Morocco, which lasted for four and a half months [3]. A period during which the management of patients suffering from COVID-19 was codified [5]. Most patients were male (62.9%) which is consistent with data found in other studies [6-9] in favour of male gender being a risk factor for developing severe forms of COVID. The mean age of our patients was 66 years, which is close to previous studies (66 years) [10], (65 years) [11]. Advanced age was identified as a predictive factor of mortality in our series of patients (P=0.024).

The most frequent comorbidities in our series were hypertension and diabetes (37% and 32% respectively) confirming the results published in previous studies [9,12,13]. Although no statistically significant results were obtained, these two comorbidities were found to be associated with an increased susceptibility to develop severe forms of COVID-19 infection with a generally poor prognosis [14,15]. Also, chronic renal failure and cancer were significantly related to excess mortality in our study. This is consistent with the majority of studies in this setting [8,9]. The most frequent reason for admission to the hospital in our series, before being transferred to the intensive care unit, was fever and cough (64% and 60% respectively), which is in line with what is already described in the literature [2,10,16]. The average length of stay in intensive care was 8 days, close to that reported in several studies, 7.83 [11,17]. Vaccination in our study was statistically significantly associated with a reduction in mortality (p=0.003). This confirms the role of vaccination as a protective factor against both death and severe forms of the disease [18-20], which was reflected in our context by the decrease in the number of admissions to the COVID intensive care unit during the Delta wave compared to the first wave during which the bed capacity was saturated even though the service had been extended.

In the multivariate logistic regression model, with in-hospital death as the dependent variable, only vaccination was established in this multivariate analysis as a statistically significant protective factor against mortality (p=0.01). In an analysis specific to vaccination, no difference in length of hospital stay between vaccinated and unvaccinated subjects was retained (p=0.779) This study has several limitations. First, the small size of the study population. Second, although several confounding factors were controlled for, unmeasured confounding in this retrospective observational study could have occurred. Third, we did not include all the clinical, biological, and radiological parameters on admission (morbidity and mortality factors). Fourth, this analysis included only hospitalized patients and cannot inform whether vaccination attenuates COVID-19 severity among outpatients. The data found in our study confirm those in ICU settings worldwide, and they give an idea about the Moroccan population for further analysis. However, a study with a larger sample will confirm these data and find other associations.

 

 

Conclusion Up    Down

Severe forms of COVID-19 admitted to the intensive care unit of the HMMI of Meknes-Morocco had the following major risk factors for severe forms: age, male sex, diabetes, and high blood pressure, whereas vaccination was shown to be a protective factor. These results are consistent with those of other international studies, but a more extensive national study with a larger population is needed to confirm these findings.

What is known about this topic

  • Coronavirus was a public health emergency of international concern;
  • Severe forms of COVID-19 admitted to intensive care had many major risk factors;
  • Many studies describe vaccination as a protective factor.

What this study adds

  • Our study is the first and only one in Morocco to describe the sociodemographic and clinical characteristics, as well as the impact of the vaccine on severe COVID-19 patients;
  • Our study focused on the delta wave period which has not been described before;
  • We confirm that age, male sex, diabetes, and high blood pressure were major factors of severe forms of COVID-19, whereas vaccination was shown to be a protective factor.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors' contributions Up    Down

Ayoub Maaroufi and El m'rabet Ilias: conceptualisation, methodology writing the original draft. Omari Mohammed and Abdellatif Diai:logiciel, formal analysis and interpretation. Nouredine Jebbar: reviewing and editing. Hicham Kechna and Jaouad Laoutid: supervision. All the authors have read and agreed to the final manuscript.

 

 

References Up    Down

  1. Peng XL, Cheng JSY, Gong HL, Yuan MD, Zhao XH, Li Z et al. Advances in the design and development of SARS-CoV-2 vaccines. Mil Med Res. 2021;8(1):67. PubMed | Google Scholar

  2. WHO. Coronavirus disease (COVID-19). Accessed May 18, 2022.

  3. La Vie éco. COVID-19: The Delta wave closed, Morocco enters an inter-wave period that does not mean the end of the epidemic . Accessed December 31, 2022.

  4. Chung M, Bernheim A, Mei X, Zhang N, Huang M, Zeng X et al. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology. 2020 Apr;295(1):202-207. PubMed | Google Scholar

  5. Médias24. Here is the update of the national COVID-19 therapeutic protocol. Accessed December 31, 2022.

  6. Zanella A, Florio G, Antonelli M, Bellani G, Berselli A, Bove T et al. Time course of risk factors associated with mortality of 1260 critically ill patients with COVID-19 admitted to 24 Italian intensive care units. Intensive Care Med. 2021;47(9):995-1008. PubMed | Google Scholar

  7. Li Bassi G, Suen JY, Dalton HJ, White N, Shrapnel S, Fanning JP et al. An appraisal of respiratory system compliance in mechanically ventilated COVID-19 patients. Crit Care. 2021 Jun 9;25(1):199. PubMed | Google Scholar

  8. Bennett KE, Mullooly M, O´Loughlin M, Fitzgerald M, O´Donnell J, O´Connor L et al. Underlying conditions and risk of hospitalisation, ICU admission and mortality among those with COVID-19 in Ireland: A national surveillance study. Lancet Reg Health. 2021;5:100097. PubMed | Google Scholar

  9. Iaccarino G, Grassi G, Borghi C, Carugo S, Fallo F, Ferri C et al. Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension. PLoS One. 2020 Oct 6;15(10):e0237297. PubMed | Google Scholar

  10. Roger C, Collange O, Mezzarobba M, Abou-Arab O, Teule L, Garnier M et al. French multicentre observational study on SARS-CoV-2 infections intensive care initial management: the FRENCH CORONA study. Anaesth Crit Care Pain Med. 2021;40(4):100931. PubMed | Google Scholar

  11. Chew MS, Kattainen S, Haase N. A descriptive study of the surge response and outcomes of ICU patients with COVID-19 during first wave in Nordic countries. Acta Anaesthesiol Scand. 2022 Jan;66(1):56-64. PubMed | Google Scholar

  12. Guan W jie, Liang W hua, Zhao Y, Liang H rui, Chen Z sheng, Li Y min et al. Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. Eur Respir J. 2020 May 14;55(5):2000547. PubMed | Google Scholar

  13. Dennis JM, Mateen BA, Sonabend R, Thomas NJ, Patel KA, Hattersley AT et al. Type 2 Diabetes and COVID-19-Related Mortality in the Critical Care Setting: A National Cohort Study in England, March-July 2020. Diabetes Care. 23 oct 2020;44(1):50-7. PubMed | Google Scholar

  14. Magdy Beshbishy A, Oti VB, Hussein DE, Rehan IF, Adeyemi OS, Rivero-Perez N et al. Factors Behind the Higher COVID-19 Risk in Diabetes: A Critical Review. Front Public Health. 2021;9:591982. PubMed | Google Scholar

  15. Bialek S, Boundy E, Bowen V, Chow N, Cohn A, Dowling N et al. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) - United States, February 12-March 16, 2020. Morb Mortal Wkly Rep. 27 mars 2020;69(12):343-6. PubMed | Google Scholar

  16. NEJM. Clinical characteristics of coronavirus disease 2019 in China. Accessed on July 18, 2022.

  17. Nassar Y, Mokhtar A, Elhadidy A, Elsayed M, Mostafa F, Rady A et al. Outcomes and risk factors for death in patients with coronavirus disease-2019 (COVID-19) pneumonia admitted to the intensive care units of an Egyptian University Hospital. A retrospective cohort study. Journal of infection and public health. 2021 Oct 1;14(10):1381-8. Google Scholar

  18. Heidarzadeh A, Moridani MA, Khoshmanesh S, Kazemi S, Hajiaghabozorgi M, Karami M. Effectiveness of COVID-19 vaccines on hospitalization and death in Guilan, Iran: a test negative case-control study.Int J Infect Dis. 2023 Mar;128:212-222. PubMed | Google Scholar

  19. Tenforde MW, Self WH, Adams K, Gaglani M, Ginde AA, McNeal T et al. Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity. JAMA. 23 nov 2021;326(20):1-12. PubMed | Google Scholar

  20. He X, Su J, Ma Y, Zhang W, Tang S. A comprehensive analysis of the efficacy and effectiveness of COVID-19 vaccines. Front Immunol. 2022 Aug 26;13:945930. PubMed | Google Scholar