Sociodemographic and neurological profile of patients with spinal cord injury in a trauma hospital in Bangladesh
Authors
- Md MohiuddinDepartment of Physical Medicine and Rehabilitation, National Institute of Traumatology and Orthopedic Rehabilitation, Dhaka, Bangladesh
- Md. Monirul IslamDepartment of Physical Medicine and Rehabilitation, National Institute of Traumatology and Orthopedic Rehabilitation, Dhaka, Bangladesh
- Md. Imammur RashidDepartment of Physical Medicine and Rehabilitation, Bangladesh Medical University, Dhaka, Bangladesh
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Published by Bangladesh Medical University (former Bangabandhu Sheikh Mujib Medical University)
In South Asia, including Bangladesh, reliable epidemiological data on TSCI remain limited because of under-reporting and weak health information systems. Available evidence suggests that falls and road traffic accidents are the leading causes of injury. Individuals with TSCI frequently experience long-term complications that necessitate prolonged and multidisciplinary rehabilitation. However, access to specialized rehabilitation services in resource-constrained settings is often insufficient, exacerbating disability, loss of productivity, and socioeconomic vulnerability for patients and their families.
Neurological classification is fundamental for assessing injury severity and guiding clinical management. Comprehensive data on the socio-demographic and neurological characteristics of TSCI patients in Bangladesh are scarce, particularly for injuries related to rural and occupational exposures. This lack of context-specific evidence limits the development of targeted prevention strategies and the effective allocation of healthcare resources. To address this gap, the present study aims to investigate the socio-demographic and neurological profiles of patients with TSCI admitted through the emergency department of a specialised hospital.
This cross-sectional study was conducted at the National Institute of Traumatology, Orthopaedics and Rehabilitation, Dhaka, the largest tertiary-level referral centre for trauma and rehabilitation in Bangladesh. Adult patients (aged = 18 years) with a confirmed diagnosis of TSCI admitted between June 2022 and November 2023 were included. Diagnosis was established through clinical evaluation and radiological investigations. Patients with non-traumatic spinal cord conditions, pre-existing neurological deficits that could confound assessment, or those who died before complete evaluation were excluded. A convenience sampling strategy was applied, enrolling all eligible patients admitted during the study period.
Patients were initially identified from hospital records and subsequently screened in the inpatient departments based on predefined eligibility criteria. After obtaining written informed consent, data were collected using a structured case record form by trained postgraduate residents in physical medicine and rehabilitation. Information was gathered through patient interviews, caregiver reports when required, clinical examinations, and review of medical records. Collected data included socio-demographic characteristics (age, sex, residence, and occupation), mechanism and level of injury, associated injuries, and time since injury.
Neurological assessment was performed within 24 hours of admission using the International Standards for Neurological Classification of Spinal Cord Injury, and injury severity was graded according to the Asia Impairment Scale. Participant confidentiality and anonymity were strictly maintained throughout the research process.
Data were analysed using SPSS statistics software. Descriptive statistics, including frequencies, percentages, means, and standard deviations, were used to summarize sociodemographic and clinical characteristics, while neurological profiles were presented by injury level and Impairment Scale grades.
Sociodemographic factors
A total of 182 patients with TSCI were analysed. Majority (63.7%) of them were examined within three days of the injury. The mean (standard deviation) of age was 38.0 (14.6) years; most patients were male (93%) and from rural areas (90%). One-third (32%) of them were farmers and one-fourth (24.7%) had no formal education. Fifteen per cent of them had injuries other than spinal injuries.
Clinical profile
Paraplegia was the most common clinical presentation (87%), with 37% unable to move their lower limbs at admission (Table 1). Bladder catheterisation was required in 64.8% of patients. The lumbar spine was most frequently affected (50%), followed by the thoracic spine (26%). Moderate to severe pain was reported by 91% of patients. Falls from height were the leading cause of injury (67%), particularlyf falls from trees (43%), while road traffic accidents accounted for 14.2%. According to the Impairment Scale, 36.2% had complete spinal cord injury (Grade A).
This study highlights the substantial burden of TSCI in Bangladesh, disproportionately affecting young males from rural areas who are engaged in physically demanding, low-income occupations. Falls from trees emerged as the leading cause of injury, reflecting a context-specific occupational hazard within rural agrarian communities and aligning with findings from regional studies that emphasize the need for locally tailored prevention strategies [6]. The predominance of male patients and rural residents is consistent with evidence from other LMICs, where TSCI commonly affects individuals involved in high-risk manual labour such as farming and day labour [7]. Low household income and limited educational attainment further underscore the socioeconomic vulnerabilities that may hinder timely care, access to rehabilitation, and social reintegration.
Categories | Number (%) |
Sex |
|
Male | 36 (60.0) |
Female | 24 (40.0) |
Age in yearsa | 8.8 (4.2) |
Education |
|
Pre-school | 20 (33.3) |
Elementary school | 24 (40.0) |
Junior high school | 16 (26.7) |
Cancer diagnoses |
|
Acute lymphoblastic leukemia | 33 (55) |
Retinoblastoma | 5 (8.3) |
Acute myeloid leukemia | 4 (6.7) |
Non-Hodgkins lymphoma | 4 (6.7) |
Osteosarcoma | 3 (5) |
Hepatoblastoma | 2 (3.3) |
Lymphoma | 2 (3.3) |
Neuroblastoma | 2 (3.3) |
Medulloblastoma | 1 (1.7) |
Neurofibroma | 1 (1.7) |
Ovarian tumour | 1 (1.7) |
Pancreatic cancer | 1 (1.7) |
Rhabdomyosarcoma | 1 (1.7) |
aMean (standard deviation) | |
Categories | Number (%) |
Sex |
|
Male | 36 (60.0) |
Female | 24 (40.0) |
Age in yearsa | 8.8 (4.2) |
Education |
|
Pre-school | 20 (33.3) |
Elementary school | 24 (40.0) |
Junior high school | 16 (26.7) |
Cancer diagnoses |
|
Acute lymphoblastic leukemia | 33 (55) |
Retinoblastoma | 5 (8.3) |
Acute myeloid leukemia | 4 (6.7) |
Non-Hodgkins lymphoma | 4 (6.7) |
Osteosarcoma | 3 (5) |
Hepatoblastoma | 2 (3.3) |
Lymphoma | 2 (3.3) |
Neuroblastoma | 2 (3.3) |
Medulloblastoma | 1 (1.7) |
Neurofibroma | 1 (1.7) |
Ovarian tumour | 1 (1.7) |
Pancreatic cancer | 1 (1.7) |
Rhabdomyosarcoma | 1 (1.7) |
aMean (standard deviation) | |
Topic | Teaching method | Pre-test score | Post-test score | Difference (post minus pre-test scores) | P
|
Cerebellar disorder | Traditional teaching | 1.2 (0.9) | 2.8 (1.0) | 1.6 | <0.001 |
ECE | 1.2 (0.9) | 6.4 (1.4) | 5.2 | <0.001 | |
Parkinson's disease | Traditional teaching | 1.2 (0.9) | 1.9 (0.7) | 0.7 | <0.001 |
ECE | 1.2 (0.9) | 6.0 (1.3) | 4.8 | <0.001 | |
ECE indicates early clinical exposure. All values expressed as mean (standard deviation) | |||||
Topic | Teaching method | Pre-test score | Post-test score | Difference between post and pre-test score | P (Post vs pre) |
Cerebellar Disorder
| Traditional Teaching | 1.2 (0.9) | 2.8 (1.0) | -1.6 | <0.001 |
ECE | 1.2 (0.9) | 6.4 (1.4) | -5.2 | <0.001 | |
Parkinson's Disease
| Traditional Teaching | 1.2 (0.9) | 1.9 (0.7) | -0.7 | <0.001 |
ECE | 1.2 (0.9) | 6.0 (1.3) | -4.8 | <0.001 | |
ECE indicates Early clinical exposure. All values expressed as mean (standard deviation) | |||||
Variables | Results |
Number (%) | |
Sex | |
Male | 29 (48.0) |
Female | 31 (52.0) |
Symptoms |
|
Dyspnea | 56 (93.3) |
Chest pain | 55 (91.7) |
Fatigue | 55 (91.7) |
Leg oedema | 47 (78.3) |
Palpitation | 49 (81.6) |
Cough | 27 (45.0) |
Hoarseness of voice | 3 (5.0) |
Hemoptysis | 5 (8.3) |
Syncope | 3 (5.0) |
Cyanosis | 3 (5.0) |
Severity of pulmonary hypertension | |
Mild | 28 (46.7) |
Moderate | 22 (36.7) |
Severe | 10 (16.7) |
Types of pulmonary hypertension | |
Type 1 | 19 (31.6) |
Type 2 | 27 (45.0) |
Type 3 | 7 (11.7) |
Type 4 | 3 (5.0) |
Type 5 | 4 (6.7) |
Mean (SD) | |
Age (years) | 49.6 (14.6) |
RVSP (mmHg) by severity of pulmonary hypertension | |
Mild | 43 (7.0) |
Moderate | 58 (5.0) |
Severe | 80 (7:0) |
mPAP (mmHg) of type of pulmonary hypertension | |
Type 1 | 54 (28.9) |
Type 2 | 46 (7.6) |
Type 3 | 47.4 (11.0) |
Type 4 | 53 (2.0) |
Type 5 | 49.5 (16.2) |
SD indicates standard deviation; RVSP, right ventricular systolic pressure; mPAP, mean pulmonary artery pressure. RVSP 36–49 mmHg is mild, 50 –69 mmHg is moderate, and ≥70 mmHg is severe pulmonary hypertension. Types of pulmonary hypertension are based on etiology as per reference. | |
Category | Key Factors | Weight |
Strengths | Strong management support, skilled workforce, compliance with legal regulations | 0.338 |
Weaknesses | Logistical complexity, inadequate segregation, financial constraints | 0.13 |
Opportunities | Industry collaboration, environmental policies, new technology | 0.094 |
Threats | Limited space, lack of coordination, high investment risk | 0.329 |
Pain level | Number (%) | P | ||
Pre | Post 1 | Post 2 | ||
Mean (SD)a pain score | 4.7 (1.9) | 2.7 (1.6) | 0.8 (1.1) | <0.001 |
Pain categories | ||||
No pain (0) | - | 1 (1.7) | 31 (51.7) | <0.001 |
Mild pain (1-3) | 15 (25.0) | 43 (70.0) | 27 (45.0) | |
Moderete pain (4-6) | 37 (61.7) | 15 (25.0) | 2 (3.3) | |
Severe pain (7-10) | 8 (13.3) | 2 (3.3) | - | |
aPain scores according to the visual analogue scale ranging from 0 to 10; SD indicates standard deviation | ||||
Variable | Number (%) |
Clinical presentation |
|
Unable to move lower limb | 67 (36.8) |
Unable to move all four limbs | 16 (8.2) |
Muscle weakness in lower limb | 79 (43.4) |
Muscle weakness in all four limbs | 13 (7.1) |
Bladder - catheter in situ | 118 (64.8) |
Bladder - incontinence | 24 (13.2) |
Bowel - not passed yet | 66 (36.3) |
Breathing difficulty | 26 (14.3) |
Swelling in affected part | 91 (50.0) |
Difficulty in standing/sitting | 87 (47.8) |
Vital signs and clinical signs |
|
Tachycardia | 25 (13.7) |
Hypertension | 17 (9.3) |
Tachypnea | 30 (16.5) |
Absent bowel sound | 23 (12.6) |
Sensory involvement present | 118 (64.8) |
Motor involvement present | 120 (65.9) |
Decreased muscle tone | 83 (45.6) |
Radiological injury type |
|
Compression | 115 (63.2) |
Translation | 49 (26.9) |
Mixed pattern | 18 (9.9) |
Region of injury |
|
Lumbar | 91 (50.0) |
Thoracic | 48 (26.4) |
Cervical | 30 (16.5) |
Combined (thoracolumbar, cervicothoracic) | 13 (7.1) |
Clinical Status |
|
Paraplegia | 158 (86.8) |
Tetraplegia | 24 (13.2) |
Pain Severity |
|
Severe (Visual Analogue Scale = 7) | 105 (57.7) |
Moderate (Visual Analogue Scale 4–6) | 60 (33.0) |
Mild (VAS 1–3) | 17 (9.3) |
Autonomic Dysreflexia | 4 (2.2) |
Cause of injury |
|
Fall from height | 121 (66.5) |
Fall from tree | 78 (64.5) |
Fall from rooftop | 43 (35.5) |
Fall of heavy object | 30 (16.4) |
Road traffic accident | 26 (14.2) |
Other (workplace, bull attack, etc.) | 5 (2.7) |
Spinal region of injury |
|
Lumbar | 91 (50.0) |
Thoracic | 48 (26.4) |
Cervical | 30 (16.5) |
Others (thoracolumbar, etc.) | 13 (7.1) |
Clinical status |
|
Paraplegia | 158 (86.8) |
Tetraplegia | 24 (13.2) |
Type of bony injury |
|
Compression | 115 (63.2) |
Translation | 49 (26.9) |
Others (destruction/facet) | 18 (9.9) |
The lumbar spine was the most frequently affected region, differing from injury patterns reported in many high-income countries and reflecting variability in trauma mechanisms across regions. Similar regional variation has been reported in neighboring South Asian countries [9]. Although most patients presented within three days of injury, delays among a substantial proportion indicate gaps in pre-hospital care, emergency transport, and public awareness.
Neurologically, more than one-third of patients sustained complete spinal cord injuries, while the majority had incomplete injuries, suggesting potential for functional recovery with timely rehabilitation. This pattern is consistent with reports from Bangladesh and comparable LMICs [10, 11]. High levels of pain, bladder dysfunction, and paraplegia highlight the need for comprehensive, multidisciplinary management. Study limitations include recall bias, lack of longitudinal follow-up, and absence of standardised rehabilitation outcome measures.
In conclusion, TSCI in Bangladesh primarily affects socioeconomically deprived rural males and is largely driven by preventable causes such as falls from trees, underscoring the urgent need for culturally appropriate prevention strategies, improved emergency care, and accessible rehabilitation services.

