NTC accounts for 3% - 7% of admissions in the medical wards, 8% - 10% in the emergency units and as high as 48.99% in the Intensive care units [1]-[4]. Non-traumatic coma (NTC) is a serious condition requiring swift medical or surgical decision-making upon arrival at the emergency department [5]. Comatose states, regardless of their aetiology, are often fatal as a result of the additional burden of coma on the primary disease. A coma is usually acute and a life-threatening emergency requiring prompt intervention for the preservation of life and brain function [1]. The aetiologies of coma are numerous and the window for optimal care is narrow [6][7]. There is controversy as to which disease is the most common aetiology of NTC [1][2][8][9]. Most studies implicate stroke (diseases with focal deficits) as the most common aetiology of NTC [2][4][8], while a few demonstrate metabolic causes (diseases with no focal neurological deficits) as the most common aetiology [1]. In Cameroon, stroke is the most common aetiology of NTC in first category hospitals and the second most common aetiology of neurological disorders at the emergency unit [10][11]. Survival following NTC tends to increase in high-resource centers that are better equipped to diagnose the aetiology of coma and take immediate action, unlike in resource-limited centers with little or no access to sophisticated medical devices [12]. The outcome following NTC varies from full recovery to ultimately death, with poor outcomes being associated with age, Glasgow score at presentation, aetiology, and vital signs at presentation [3][8]. Mortality rates associated with NTC are relatively higher in sub-Saharan countries compared to developed countries [3]-[5][13]. Given the poor prognosis of NTC, with scant attention in resource-limited hospitals, we therefore decided to determine the prevalence of NTC, enumerate its aetiologies, assess its outcome, and identify predictors of death in two secondary referral centers.

The aim of this study was to determine the prevalence, aetiology, and outcome of NTC in the only two referral hospitals in the southwest region of Cameroon.

NTC accounted for 2% of admissions into the medical wards. Our findings were low but were expected because our study was limited to the medical wards, thereby excluding patients who died in the emergency units or who were immediately referred to a tertiary health facility upon arrival. Our findings were lower than those recorded in other African contexts [1][2][10][13]. The higher prevalence can be explained by the following reasons: the studies were carried out in tertiary hospitals, which had the capacity to manage comatose patients, whereas that was not the case in our study; variation in inclusion criteria; and variation in the study design and settings.

Diseases with No Focal Neurological Deficits (DNFND) as a category were the leading clinical presentation (43.0%) of NTC, among which metabolic disorders were the most frequent: Hyperglycemic crisis (13.2%), Hepatic Encephalopathy (4.8%), and Uraemia (4.8%). These findings corroborate the study carried out by Mohamed et al. (Nigeria, 2015) but are divergent from that of Owolabi et al. (Nigeria, 2012), who documented meningitis syndromes (28.9%) as the leading clinical presentation of NTC. Looking at the aetiologies of NTC individually in our study, stroke was the leading aetiology of NTC, 31.7% (n = 60/189). This finding is consistent with publications from other African settings [2][4][10][14]. These similar findings could be explained by similar socio-demographic characteristics.

We reported an in-hospital mortality rate of 84.8%. We expected this rate to be high, given the lack of an intensive care unit and the limited scope of investigations, thereby prompting delay or inability to make a proper diagnosis and management. Our findings were thrice that recorded by Forsberg et al. (Sweden, 2010) who reported a mortality rate of 26.7% [13]. Our findings were higher than those of other studies in Africa [1][2][9]. Moreover, mortality was highest amongst stroke patients as 57 out of 60 (95%) stroke patients died. This finding was consistent with other studies [2][8][16]. A GCS of 3 - 5 was significantly associated with death as 60 out of 64 patients with a GCS ≤ 5 died. This finding was convergent with other studies [8][10][14][15].

Other factors associated with death included: gender, length of hospitalization ≤ 3 days, stroke, hypertension, and HIV seropositivity. These findings were similarly recorded in other studies [9][17]-[21]. Independent prognostic predictors of death in our study were: female gender, length of hospitalization ≤ 3 days, stroke, GCS ≤ 5, and HIV seropositivity. These findings were consistent with those of Owolabi et al. (Nigeria, 2013), who reported GCS ≤ 5 and hypertension [9][22]. These results are similar due to the similar socio-demographic characteristics of the study settings. The clinical implication of these predictors of NTC in simple words is that if you have a patient with stroke or on an HIV terrain, who comes to a secondary referral Hospital in a context such as ours, with a GCS ≤ 5, will die within 3 days of admission. This outlines the importance of early recognition of the aetiology of NTC, prioritizing referral for admission in the intensive care unit.

Our results simply show that NTC is not a far-fetched presentation in resource-limited hospitals. This study also demonstrates that mortality rates associated with NTC are very high in low-resource settings. These findings were anticipated, given the lack of an ICU, a stroke unit, limited scope of investigations, and the absence of universal health coverage.

Our study had a wide range of limitations, including the poor record keeping of these hospitals, which resulted in a large number of missing files that might have had a significant impact on our results. Our study did not take into consideration the files of patients who presented with NTC who may have died at the hospital emergency unit, or transferred to tertiary Hospitals, which would likely have had an impact on the prevalence and outcome. Secondly, the retrospective nature of our study might not reflect current trends. However, this is one of the very few studies carried out in a secondary referral center and is most likely the first in Cameroon. This might serve as a starting point for more research on this subject.

Stroke remains the leading aetiology of NTC even in resource-limited settings of Cameroon. Our findings also suggest that 8 in 10 adults presenting with NTC in such a setting are likely to die. A length of hospitalization of ≤3 days, female gender, a GCS of ≤5, and HIV seropositivity are predictors of death among patients presenting with NTC. The very high mortality rates and the overwhelming list of factors associated with poor outcomes of NTC simply outline the importance of preventive measures, the creation of a comprehensive clinical approach (algorithm) to identify the diagnosis of NTC in these settings, and also the need to provide these hospitals with the minimum (both human and material) resources (See Figure 3).

Figure 3. Algorithm for the diagnosis of NTC.

We propose a simple algorithm that is more clinical in its approach to the diagnosis of NTC, which can orient health staff in resource-limited settings, especially in Sub-Saharan Africa. The algorithm focuses on a rapid initial clinical assessment of the patient presenting with NTC, in a resource-limited setting. With these three simple questions, the health personnel will be able to situate the patient; Is my patient having a focal neurological deficit? Is my patient present with signs of meningeal irritation or an infectious syndrome? Is my patient presenting with NTC, not associated with either a focal neurological deficit or an infectious syndrome? This algorithm was proposed given the very high mortality rates and identified the predictors. The team reflected on what could be done in such a setting, within the first three days: Referral to higher levels of care, counselling the patient caregivers on prognosis and eventually drawing the attention of policy makers to the creation of the required infrastructure and human resources. It is worth noting that this algorithm has not been prospectively validated.

1) Coma: An alteration in the level of consciousness with a GCS ≤ 9 for more than 6 hours.

2)Hyperglycaemiccrises: A patient diagnosed with any of the following: isolated hyperglycaemia, DKA, or HONK.

3) Systemicsymptoms: Non-specific symptoms that are present in any systemic disease.

4) Lowdisability: Light damage with minor neurological and psychological deficits.

5) Moderatedisability: Low disability with no need for assistance in everyday life; employment is possible but may require special equipment.

6) Severedisability: Severe neurological injury with permanent need for help in daily living.

7) Persistentvegetativestate: Severe neurological damage with a prolonged state of unresponsiveness and lack of higher mental functions.

8) Death: Irreversible cessation of vital signs (heart rate, respiration, fixed dilated pupils).

9) Non-traumaticComa: Coma resulting from any aetiology except trauma (physical assault).

10) Pooroutcome: Patient with a who died or whom upon recorvery was severely disabled.

11) Stroke: A focal neurological deficit lasting more than 24 hours with the aetiology being vascular in origin.

This article is derived from the thesis of Dr. Forchap Nkemanjong Milton. We are grateful to all specialists, general practitioners, house officers, and nurses involved in the care of the study participants. All of this was done under the supervision of Professor Yacouba Njankouo Mapoure.

Yacouba Njankouo Mapoure, Forchap Nkemanjong Milton, and Nkouonlack Cyrille developed the research questions. Chia Mark Ayeah analyzed and interpreted the data. Forchap Nkemanjong Milton and Nkouonlack Cyrille wrote the original manuscript, while Yacouba Njankouo Mapoure reviewed it for corrections.