Systemic diseases are a heterogeneous group of diffuse autoimmune and/or autoinflammatory diseases and syndromes, usually involving several systems [1]. They affect about 5% of the world population [2]. The causes are generally unknown. Their occurrence is considered as the result of the interaction between environmental and genetic susceptibility factors, that taken in isolation, are neither necessary nor sufficient to induce such diseases [3]. Among the systemic diseases, connectivitis or collagenosis was initially referred to a group of disorders with a common denominator of anatomopathological changes in connective tissue [4]. This term is still in use despite the considerable evolution of pathophysiological concepts that no longer emphasize collagenous tissue abnormalities and usually focuses on systemic lupus erythematosus (SLE), inflammatory myopathies, systemic scleroderma, primary Gougerot-Sjögren’s syndrome and mixed connectivitis [4]. Indeed, the connectivitis is non-organ-specific autoimmune disease. They are responsible for multivisceral disorders and have diverse presentations that make their diagnosis difficult. The criteria used for their diagnosis are based on symptomatic groupings and are the result of a statistical analysis established most often from a recruitment of patients with rheumatological diseases. Some patients meet the criteria for several connectivitis: this is known as an overlap syndrome. Others have anti-RNP antibodies and are classified as having “mixed connectivitis”, with elements of systemic lupus, scleroderma, and myositis but not meeting the criteria for classification of connectivitis. Finally, some patients who have only a few manifestations may be classified as “undifferentiated connectivitis” [4]

These chronic diseases, can disrupt the quality of life of the patient with the possibility of a psychosocial impact [5]. Worldwide, very few studies have been carried out on connectivitis, and each connectivity has been studied separately.

In black Africa, these conditions are a source of diagnostic erraticism because of their clinical polymorphism. In recent years, several publications have highlighted the low hospital frequency of connectivitis in the cities of the countries of the sub-region: 0.14% in Dakar in internal medicine [6], 0.14% and 0.8% respectively in dermatology and rheumatology in Lomé [7], and 2.29% in internal medicine and dermatology in Ouagadougou [5]. In Benin, the Agbodande study found a hospital frequency of 0.8% in internal medicine in Cotonou [8].

However, these studies did not look at the patients’ therapeutic itinerary. Hence, the current study has as the main goal to study the therapeutic course of patients treated for connectivitis tissue disease in the internal medicine department of the CNHU-HKM in Cotonou.

Our study occurred in the university clinic of Internal Medicine of the CNHU-HKM of Cotonou.

It was a cross-sectional, descriptive, and analytical study.

Adult patients who were followed in the department from January 2010 to October 2018 for connectivitis and gave their informed consent were included.

Actually, we did not include, dead eligible patients or unable to answer the questions.

The diagnosis of connectivitis was made by hospital practitioners on the basis of diagnostic criteria specific to each connectivitis: ACR/EULAR for Systemic Lupus Erythematosus, Kahn’s classification for mixed connectivitis, International Consensus on the Update of Criteria for Antiphospholipid Syndromes, ACR/EULAR for systemic scleroderma. For each patient, anthropological (age, sex, ethnicity, religion), sociological (average consultation time, choice of first therapeutic recourse, reasons for choice, financial support for care), and clinical (medical history, type of connective tissue disease, complications) variables were studied.

To study the influence of choice on prognosis, two subgroups were formed: A = connectivitis without complications and B = connectivitis with complications.

Data collection was done using a survey form. Data analysis and processing were performed by EPI DATA.3.1. For comparisons, the Fischer Chi-square test was used, and a p < 0.05 indicated a significant difference.

Among three thousand and six hundred patients that were hospitalized during the study period, 21 had connectivitis. In other words, we got a hospital frequency of 0.58%. Furthermore, over the 21 patients who were selected, 18 met the inclusion criteria.

In our study, the hospital frequency of connectivitis was 0.58%. It is higher than those found in Dakar (internal medicine) and Lomé (dermatology) that were, respectively, 0.14% and 0.2% [6] [7]. On the other hand, it is lower than the one that was found in rheumatology in Lomé and Ouagadougou, that were, respectively 0.8% and 2.29% [5] [7]. These hospital frequencies are low and it reflects the under-diagnosis of connectivitis in our country. The differences observed could be explained by the small size of our sample. They can also be explained by the fact that rheumatology is a specialty where osteoarticular manifestations of connectivitis are more frequently encountered.

The mean age of the patients was 40 (±11) years old with a minimum of 21 and a maximum of 58 years. This result was found in other works from the sub-region with an average age of 41.2 (±11.97) years old in Burkina Faso [5] and 43.7 in Senegal [6]. Connectivitis occurs in young people.

In our series, the majority of patients were women (94.4%), in particular young sexually active women. The same observation is made by the majority of studies on connectivitis. This can be explained by the role of hormones in the occurrence of diseases of the system. Estrogens are thought to increase the secretion of prolactin and growth hormones, which in turn may play a role in the proliferation of T and B lymphocytes [9]. On the other hand, androgens seem to have inhibitory effects on the immune response by mechanisms acting directly on cells of the immune system or on some target organs [10].

In our study, SLE was the main connective tissue disease found (55.6%), followed by mixed connective tissue disease (27.7%). This predominance of SLE is not always found. Although our results are comparable to those of Missounga [11] and Aubry-Rozier [12], the studies by Mijiyawa and Leye found scleroderma and rheumatoid arthritis respectively in the first place [6] [7]. This may be explained by the fact that Mijiyawa’s study was conducted in dermatology. However, Leye’s study was conducted in an internal medicine department.

The mean time to consultation for the 18 patients was 38 months, with a minimum of 6 and a maximum of 180 months. This delay is much longer than that found in Gabon, 16.5 months in a study of only 7 patients [11].

The majority of patients had self-medication as their first therapeutic remedy (55.5%). The main reasons for this therapeutic choice were satisfaction (44.4%) followed by financial problems (27.8%). Ouendo’s study on the therapeutic itinerary of patients in Benin concurs. More than half of the patients in the study had self-medication as their first therapeutic remedy [13]. According to the author, traditional therapeutic recipes and the proliferation of informal sellers and prescribers of medicines favored this practice.

The consultation at the CNHU was mainly the result of a referral from a first contact health facility (61%). A patient’s initiative or advice from a third party was the origin of the consultation in 27.8% and 5.6% of cases respectively. These results highlight the role of first contact health facilities in the Beninese health system. Awareness must be raised among patients and primary care physicians for early consultation and referral to an appropriate health center at the first sign of symptoms. Azon-Kouanou’s study on general practitioners’ knowledge of SLE in Cotonou (Benin), noted the lack of knowledge of the disease among primary care physicians [14].

The first people involved in the financial management of the disease were the patients themselves (61.1%). This attitude contrasts with the high number of non-salaried patients and the absence of health insurance for all. This situation makes difficult to follow up the patients properly and would favour the occurrence of complications.

We got 5 (27.8%) patients with complications during the disease, including 2 cases of pulmonary hypertension, 1 case of pulmonary embolism, 1 case of lupus nephropathy and 1 case of diffuse interstitial lung disease. These complications are among those frequently encountered in connectivitis. The factors associated with the occurrence of these complications were hypertension (p = 0.044) and Christian religion (p = 0.002). If HTA can be a cause of chronic inflammation that could explain the association, the Christian religion as an associated factor does not have an objective explanation. We believe that this association found would be related to the selection bias of the study. Indeed, 15 out of the 18 patients included were Christian. However, a study on the impact of religious belief on the patients’ therapeutic itinerary would help to better understand this association.

The main limitation of this study is the sample size. A multi-center study with a larger sample size will allow for a more in-depth study.

Connectivites are multifaceted chronic inflammatory diseases whose frequency seems low in Africa. This observation is the consequence of an under diagnosis linked not only to the lack of knowledge of the pathology by primary care physicians, but also to the limitation of the technical platform. It justifies that patients are seen with complications in one-third of the cases. The worry in this context is the early onset of complications.

The authors declare no conflicts of interest regarding the publication of this paper.

Azon-Kouanou, A., Agbodande, K.A., Dansou, E., Missiho, M.S.G., Sokadjo, Y.M., Wanvoegbe, A.F., Kondoli, J.K., Oba, R., Prudencio, R.D.T.K., Zannou, D.M. and Houngbé, F. (2021) Therapeutic Itinerary of Patients Followed for Connectivitis in the Internal Medicine Department of the CNHU-HKM of Cotonou (Benin). Open Journal of Internal Medicine, 11, 73-80. https://doi.org/10.4236/ojim.2021.112006