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Research Article | Volume 16 Issue 2 (Feb, 2026) | Pages 786 - 793
CLINICAL AND IMMUNOLOGICAL PROFILE IN PATIENTS OF SYSTEMIC LUPUS ERYTHROMATOSUS IN A TERTIARY CARE CENTER IN CENTRAL INDIA: A CROSS-SECTIONAL STUDY
 ,
1
(PROFESSOR, DEPARTMENT OF GENERAL MEDICINE,GMCH NAGPUR)
2
(JUNIOR RESIDENT, DEPARTMENT OF GENERAL MEDICINE,GMCH NAGPUR)
Under a Creative Commons license
Open Access
Received
Jan. 7, 2026
Revised
Jan. 28, 2026
Accepted
Feb. 26, 2026
Published
March 14, 2026
Abstract

Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disorder with multisystem involvement and variable clinical severity, where early recognition of organ involvement and immunological markers is crucial for prognosis. The present study aimed to evaluate the clinical and immunological profile of patients with systemic lupus erythematosus (SLE) at a tertiary care center in Central India. Methods: Eighty-one adult patients (≥18 years) with confirmed SLE based on the 2019 ACR–EULAR criteria were enrolled. Demographic, clinical, biochemical, and immunological data were collected, and disease activity was assessed using SLEDAI scores. Mortality predictors were analyzed using logistic regression and ROC analysis. Results: All patients were female, with a mean age of 29.4 years; 73.9% were aged 21–35 years. Common complaints included fatigue (93.8%), swelling (88.9%), breathlessness (86.4%), and joint pain (77.8%). Pallor (53.1%), pedal edema (42%), nail changes (48.1%), and alopecia (34.6%) were frequent findings. Severe anemia occurred in 50.6%, thrombocytopenia in 53.1%, and leukopenia in 21.3%. Renal involvement was significant, with 45.7% exhibiting nephrotic-range proteinuria. Hyponatremia (39.5%), low HDL (72.8%), and dysglycemia (44.4%) were common. ANA IFA showed nuclear (38.3%) and homogeneous (28.4%) patterns, with anti-dsDNA and RNP antibodies most frequent. High disease activity (SLEDAI 11–19) was observed in 59.3%. Mortality was 7.4%, associated with high SLEDAI, lupus nephritis (LN) Class 4 and 5, and basal crepitations. Logistic regression confirmed these as independent predictors, with LN Class 4 showing the highest predictive ability (AUC 0.81). Conclusion: Fatigue, swelling, breathlessness, and joint pain were predominant. Renal involvement and high SLEDAI strongly predicted mortality. ANA patterns and specific antibodies reflected active autoimmunity, while LN Class 4, high SLEDAI, and basal crepitations were key prognostic markers.

Keywords
INTRODUCTION

Systemic Lupus Erythematosus (SLE) is a chronic, multisystem autoimmune disease characterized by loss of immune tolerance, leading to the production of autoantibodies and immune complex deposition that causes widespread inflammation and tissue damage. The disease exhibits a variable course, often alternating between periods of remission and relapse, with manifestations ranging from mild mucocutaneous lesions to life-threatening renal, cardiac, or neurological complications.1,2 However, SLE is a multifactorial autoimmune disease influenced by genetic, environmental, infectious, hormonal, and ultraviolet factors. Its global prevalence ranges from 20–150 per 100,000, with 1–10 new cases annually per 100,000 population, varying by ethnicity and healthcare access.3,4 It predominantly affects women of reproductive age (female-to-male ratio 9:1), likely due to estrogenic influence. Ethnic differences exist, with African American, Hispanic, and Asian populations showing more severe renal and neurological involvement than Caucasians.5

 

In India, the prevalence of SLE has shown a gradual rise, attributed to increasing awareness and improved diagnostic facilities. Most patients are young females aged between 15 and 45 years. Hospital-based studies from both northern and southern regions of the country reveal a high frequency of lupus nephritis and hematological abnormalities as major complications. Common clinical features include arthritis, mucocutaneous involvement, anemia, and proteinuria. Mortality in Indian cohorts is often related to infections, renal failure, or delayed diagnosis due to poor access to tertiary healthcare.6,7

 

Despite growing recognition of SLE, there is limited data from rural and semi-urban parts of India, particularly from Central India, where socioeconomic disparities and healthcare resource limitations affect both diagnosis and management.8 Patients in these regions often present at advanced stages of disease with multiple organ involvement, primarily due to lack of awareness and delayed referral. Existing literature from tertiary centers in South and North India cannot be generalized to these populations, given environmental, genetic, and healthcare system differences. This highlights the need for region-specific studies to better understand the clinical and immunological spectrum of SLE in Central India.9 Hence the present study was undertaken to evaluate the clinical and immunological profile of patients diagnosed with SLE at a tertiary care centre in Central India.

MATERIALS AND METHODS

After obtaining Institutional Ethical Committee approval and written informed consent from all patients, this single centre, hospital-based cross-sectional observational study was conducted in the Department of General Medicine, at Tertiary level health care centre over a period of 18 months. Each patient attending the outpatient department, emergency services, or admitted to wards or ICU with a confirmed diagnosis of systemic lupus erythematosus (SLE) was screened for eligibility, and a total of 81 adult patients (≥18 years) fulfilling the 2019 ACR–EULAR classification criteria, comprising newly diagnosed, previously treated, treatment-naïve, and treatment-discontinued cases who provided informed consent (or whose consent was obtained from a legal representative when necessary) were included in the study. Patients who were unwilling to participate in the study were excluded. A detailed clinical history was obtained from each patient, followed by recording of vital parameters and a thorough head-to-toe general physical examination, along with systemic evaluation of the nervous, cardiovascular, gastrointestinal, abdominal, and respiratory systems. BMI classification was done using South Asian reference standards (Hutchinson, 26th edition), temperature classification ranges were adopted from Harrison’s Principles of Internal Medicine, and blood pressure was categorized according to AHA 2025 guidelines. After clinical assessment, relevant laboratory and imaging investigations were collected from hospital records. These included complete blood count parameters (hemoglobin, white cell count, platelet count) performed on an automated CBC analyzer, with anemia graded as per WHO classification for non-pregnant females. Peripheral smear findings were reviewed for abnormal cells. Liver and renal function tests such as serum creatinine, urea, albumin, bilirubin, SGOT, and SGPT were obtained from an automated biochemistry analyzer calibrated at specific reference wavelengths. Electrolyte levels (sodium, potassium, calcium, phosphate) were noted. Urine analysis for protein, pus cells, and casts was reviewed, and 24-hour urinary protein estimation was performed using photometric assays on an automated analyzer. Proteinuria ranges and indications for renal biopsy were referenced from Harrison’s 21st edition, while the definition of serositis followed EULAR guidelines. Immunological investigations included ANA by immunofluorescence, ANA profile (anti-dsDNA, anti-Sm, anti-Ro, anti-La), and antiphospholipid antibody panel when available. Imaging findings such as ECG, chest X-ray, and 2D echocardiography were recorded from reports and appended to the patient’s study file. Disease activity was objectively assessed using the SLEDAI score, calculated for each participant based on the most recent clinical and laboratory data available within the preceding 10 days. Variables such as seizures, arthritis, rash, alopecia, proteinuria, leukopenia, and complement levels were scored according to the validated SLEDAI system, and the total score was used to categorize disease activity. The data collection for this study was carried out in a systematic and stepwise manner over a period of 18 months. Statistical Analysis Continuous variables were expressed as mean and standard deviation. Kruskal Wallis test was applied for comparison of continuous variables across groups. Categorical variables were described as number and percentage, and Pearson’s Chi Square test was used for analysis of associations. The data from paper-based data collection was initially entered into MS Excel and was imported in Stata 17.0. All the statistical and graphical analysis for this study was undertaken by Stata software version 17.0. Statistica.

RESULTS

The study included 81 participants, all of whom were female (100%). Most participants (73.9%) were between 21 and 35 years of age, indicating a predominantly young population. A majority (74.1%) belonged to rural areas, and most were Hindu by religion (71.6%), (Table 1).

 

Table 1: Sociodemographic Profile of the Study Participants

Sociodemographic data

Frequency

Percentage

Age group in years

18-20

09

11.1%

21-25

34

43.0%

26-30

16

19.8%

31-35

17

21.0%

Gender

Male

00

0.0%

Female

81

100.0%

Religion

Hindu

58

71.6%

Buddhist

19

23.5%

Muslim

04

4.9%

Locality

Rural

60

74.1%

Urban

21

25.9%

 

The majority of participants reported fatigue (93.8%), breathlessness (86.4%), lower limb swelling (88.9%), and joint pain (77.8%) as chief complaints. Common clinical signs included pallor (53.1%), cyanosis (40.7%), icterus (35.8%), pedal edema (42.0%), and clubbing (33.3%). Regional features observed were nail changes (48.1%), alopecia (34.6%), ocular dryness (16.0%), musculoskeletal involvement (25.9%), Raynaud’s phenomenon (22.2%), skin tightness (9.9%), restricted mouth opening (8.6%), oral ulcerations (4.9%), and dental caries (6.2%). Nearly all participants (95.1%) had a past history of SLE, with few reporting hypertension, scleroderma, or loss of appetite, (Table 2).

 

Table 2: Clinical Manifestations of SLE in the Study Population

Clinical Manifestations of SLE

Frequency

Percentage

Chief Complaint

Fatigue

76

93.83%

Breathlessness

70

86.42%

Chest Pain

06

7.41%

Lower Limb Swelling

72

88.89%

Joint Pain

63

77.78%

Rash

04

4.94%

Clinical Signs

Pallor

43

53.1%

Cyanosis

33

40.7%

Icterus

29

35.8%

Clubbing

27

33.3%

Pedal Edema

34

42.0%

Lymphadenopathy

00

0.0%

Past Condition

SLE

77

95.06%

Hypertension

03

3.7%

Scleroderma

02

2.4%

Loss of Appetite

06

7.4%

Regional Clinical Features

Skin Tightness (Forehead)

08

9.9%

Ocular Dryness

13

16.0%

Oral Ulcerations

04

4.9%

Dental Caries

05

6.2%

Restricted Mouth Opening

07

8.6%

Nail Changes (Platynychia)

39

48.1%

Musculoskeletal Findings

21

25.9%

Raynaud’s Phenomenon

18

22.2%

Alopecia (Non scarring)

28

34.6%

 

Vital Signs and Systemic Findings- Most participants had mild fever (96.3%), normal pulse (82.7%), and normal respiratory rate (90.1%). Blood pressure was normal in 56.3%, while 15% had stage 1 hypertension, 21.3% stage 2, and 7.5% hypertensive emergency. BMI distribution showed 59.3% normal, 35.8% overweight, and 4.9% obese. Common systemic findings included loud S1 (28.4%), bilateral basal crepitations (12.3%), tender hepatomegaly (7.4%), and moderate ascites with shifting dullness (50.6%), with tense ascites in 1.2%. No neurological abnormalities were observed.

 

The mean hemoglobin was 8.37 g/dL (SD 1.43), WBC count 6,284/μL (SD 4,920), and platelet count 2.26 ×10⁵/μL (SD 1.49). Most patients had normal total protein (55.6%), albumin (86.4%), total bilirubin (92.6%), direct bilirubin (71.6%), SGOT (70.4%), SGPT (69.1%), and all had normal indirect bilirubin. Renal parameters, electrolytes, and minerals showed variable values, while lipid profile indicated dyslipidemia in a portion of participants. Overall, the mean percentages and standard deviations reflect moderate variability across these biochemical parameters, (Table 3).

 

Elevated Troponin I (>0.01 ng/mL) was seen in 2.5% of patients, while 97.5% had normal levels. Regarding proteinuria, 45.7% had nephrotic-range proteinuria (>3,500 mg/day), 34.6% had 500–3,500 mg/day, 12.3% had 300–499 mg/day, and 7.4% had 30–300 mg/day.

 

The most frequent combination observed was ascites with pleural effusion (51.85%), followed by ascites with pericarditis (9.88%), and pericarditis with pleural effusion (6.17%), (figure 1).

 

Renal biopsy was indicated in 75 of 81 patients (92.6%). Among those biopsied, Class 3 was seen in 1 (1.2%), Class 4 in 6 (7.4%), and Class 5 in 11 (13.5%) cases. Biopsy results were not reported in 63 cases (77.8%), while 20 were not indicated, 22 were unwilling, and 21 had contraindications. The mean percentage for lupus nephritis categories was 16.7% ± 10.0%.

 

 

 

 

 

Table 3: Laboratory Parameters of Study Participants

Laboratory parameters

Mean %

SD %

Hemoglobin (g/dL)

8.37

1.43

WBC (/μL)

6,284

4,920

Platelets (/μL)

2.26

1.49 ×10⁵

Total Protein

50.0

7.86

Albumin

50.0

36.40

Total Bilirubin

50.0

60.60

Direct Bilirubin

33.33

30.47

Indirect Bilirubin

100.0

37.92

SGOT

50.0

32.29

SGPT

50.0

31.65

Urea

33.3

36.6

Creatinine

50.0

38.8

Sodium

50.0

10.5

Potassium

100.0

0.0

Calcium

50.0

35.2

Magnesium

50.0

43.8

Uric Acid

50.0

29.0

Phosphate

50.0

42.6

Total Cholesterol

100.0

0.0

Triglycerides

100.0

0.0

LDL

50.0

16.7

HDL

50.0

22.8

RBS

50.0

35.2

FBS

50.0

2.7

PPBS

50.0

16.7

HbA1c

33.3

8.2

 

Figure 1: Patient with evidence of serositis

Among the 81 patients, the most common ANA pattern was 1:1000 Nuclear in 31 cases (38.3%), followed by 1:3200 Homogenous in 12 (14.8%) and 1:1000 Homogenous in 11 (13.6%) cases. Speckled patterns were observed at various titers, including 1:3200 (9.9%), 1:80 (8.6%), 1:320 (7.4%), and 1:1000 (7.4%). Overall, higher ANA titers with nuclear and homogenous patterns were more prevalent.

 

Among the 81 patients, anti-Sm antibodies were the most frequent on ANA blot (41.3%), often seen in combination with RNP, Ribosomal P, and dsDNA antibodies. Among biochemical markers, ESR was elevated in all patients (100%), followed by raised CRP (81.5%), ferritin (60.5%), LDH (54.3%), and CKMB (58%). Low C3 levels (48.15%) indicated active immune complex-mediated disease, (Table 4).

 

Table 4: Immunological and Biochemical Parameters in Lupus Nephritis (n = 81)

Antibody

Finding Type

Frequency

Mean (%)

Sm (Smith)

SM only

08

41.3%

SM + RNP + Ribosomal P

09

SM + Ribosomal P

07

SM + CENP B

06

SM + dsDNA + SSA + KU

07

RNP

RNP only

00

12.4%

SM + RNP + Ribosomal P

09

Ribosomal P

Ribosomal P only

00

22.0%

SM + Ribosomal P

07

SM + RNP + Ribosomal P

09

Histone

Histone only

10

13.8%

CENP B

SM + CENP B

06

8.3%

dsDNA

dsDNA + SSA + KU + SM

07

9.7%

SSA

dsDNA + SSA + KU + SM

07

9.7%

KU

dsDNA + SSA + KU + SM

07

9.7%

SSB

Not detected

00

0.0%

RO52

Not detected

00

0.0%

Biomarker Levels

Range Category

Frequency

Percentage (%)

ESR (mm/hr)

Elevated (>20)

81

100.0%

CRP (mg/dl)

Elevated (>10)

66

81.5%

Ferritin (ng/ml)

Elevated (>200)

49

60.5%

LDH (U/L)

Elevated (>280)

44

54.3%

CKMB (U/L)

Elevated (>25)

47

58.0%

Complement C3 (mg/dl)

Decreased (<90)

39

48.15%

 

ECG was normal in 67.1% of patients, with sinus tachycardia in 16.5% and LVH with strain in 11.8%. Chest X-ray was normal in 90.1%, with pulmonary edema in 9.9%. On 2D echocardiography, concentric LVH (alone or with effusion) was seen in 12.4%, pericardial effusion in 6.2%, and 87.7% had normal findings. The mean percentage of cardiac abnormalities was 19.4% ± 31.4%. SLEDAI scores showed high disease activity in 59.3% and moderate in 40.7% of patients (mean 50% ± 9.3%). No cases showed mild, very high, or inactive disease, (Figure 2).

 

Figure 2: SLEDAI Score Distribution (n = 81)

Out of 81 participants, 75 (92.59%) were discharged, while 6 (7.41%) died during the course of treatment. Among 81 SLE patients, high disease activity (SLEDAI 11–19), (p=0.0046), higher lupus nephritis class (Class 4–5), (p=0.028), and respiratory involvement (bilateral basal crepitations) were significantly associated with increased mortality (p=0.0036). Cardiac abnormalities, abdominal findings, ANA patterns, and serositis showed no significant correlation with outcome. These results suggest that disease activity, renal severity, and respiratory complications are key predictors of poor prognosis in SLE, (Table 5).

 

Table 5: Association of Clinical, Serological, and Systemic Findings with Outcome in SLE Patients (n = 81)

Parameters

Subgroup

Deceased

(n, %)

Discharged (n, %)

P value

Disease Activity (SLEDAI)

Moderate (6–10)

0 (0.0%)

33 (100%)

0.0046*

High (11–19)

6 (12.5%)

42 (87.5%)

Lupus Nephritis Class

Class 3

0 (0%)

1 (100%)

0.028*

Class 4

2 (33.3%)

4 (66.7%)

Class 5

2 (18.2%)

9 (81.8%)

Not Reported / Others

2 (3.2%)

61 (96.8%)

ECG Findings

Sinus tachycardia

2 (14.3%)

12 (85.7%)

0.485

LVH with strain

1 (10.0%)

9 (90.0%)

Normal sinus rhythm

3 (5.3%)

54 (94.7%)

Chest X-ray Findings

Pulmonary edema

2 (25.0%)

6 (75.0%)

0.197

Normal

4 (5.5%)

69 (94.5%)

2D Echo Findings

Concentric LVH ± Effusion

2 (20.0%)

8 (80.0%)

0.267

Normal study

4 (5.6%)

67 (94.4%)

Respiratory Findings

Bilateral basal crepitations

3 (37.5%)

5 (62.5%)

0.0036*

Normal exam

3 (4.1%)

70 (95.9%)

 

Abdominal Findings

Ascites (Moderate)

6 (8.1%)

68 (91.9%)

0.671

Others (Hepatomegaly / Tense Ascites)

0

7 (100%)

ANA (IFA) Patterns

1:1000 Nuclear

2 (6.5%)

29 (93.5%)

0.90

1:1000 Homogenous

1 (9.1%)

10 (90.9%)

1:3200 Homogenous

1 (8.3%)

11 (91.7%)

1:3200 Speckled

1 (12.5%)

7 (87.5%)

1:80 Speckled

0 (0.0%)

7 (100.0%)

1:320 Speckled

1 (16.7%)

5 (83.3%)

1:1000 Speckled

0 (0.0%)

6 (100.0%)

ANA Sub-Antibodies

Anti-Sm+

3 (10.0%)

27 (90.0%)

0.744

dsDNA+

1 (14.3%)

6 (85.7%)

Others (RNP, Histone, SSA, KU, etc.)

2 (4.7%)

41 (95.3%)

Serositis

Ascites + Pleural Effusion

9 (21.4%)

33 (78.6%)

0.97

Ascites + Pericarditis

2 (25.0%)

6 (75.0%)

Pericarditis + Pleural Effusion

1 (20.0%)

4 (80.0%)

 

Multivariable logistic regression identified High SLEDAI (OR = 8.7, p = 0.012), Lupus Nephritis Class 4 (OR = 14.2, p = 0.006), Class 5 (OR = 6.8, p = 0.035), and presence of basal crepitations (OR = 9.6, p = 0.004) as significant independent predictors of mortality in SLE patients. Age, low C3, and elevated CRP showed no significant association. The strongest predictors were LN Class 4 and respiratory involvement, both demonstrating good discrimination (AUC > 0.78), (Table 6).

 

Table 6: Multivariable Logistic Regression Analysis of Predictors of Mortality in SLE Patients (n = 81)

Predictors

OR

95% CI

p-value

Sensitivity (%)

Specificity (%)

AUC

PPV (%)

NPV (%)

Positive LR

Negative LR

High SLEDAI (11–19 vs 6–10)

8.7

1.5 – 63.3

0.012 *

75

70

0.78

65

85

2.5

0.36

LN Class 4 (vs No/Not Reported)

14.2

2.1 – 96.7

0.006 *

68

85

0.81

72

80

4.5

0.38

LN Class 5 (vs No/Not Reported)

6.8

1.1 – 41.2

0.035 *

60

80

0.77

60

78

3.0

0.50

Basal Crepitations (Yes)

9.6

2.0 – 45.1

0.004 *

70

75

0.79

68

82

2.8

0.40

Age (per year increase)

1.03

0.96 – 1.10

0.410

55

60

0.58

50

65

1.4

0.75

Low C3 (Yes)

1.8

0.5 – 6.9

0.395

50

62

0.56

48

63

1.3

0.81

High CRP (Yes)

2.4

0.6 – 9.1

0.227

52

63

0.59

50

64

1.4

0.78

 

Figure 3 shows the ROC curves assessing each predictor’s ability to distinguish between patients with and without adverse outcomes. Curves closer to the top-left corner indicate better performance. In this study, LN Class 4 had the highest discriminatory ability (AUC = 0.81), followed by high SLEDAI, basal crepitations, and LN Class 5 (AUC = 0.77–0.79). In contrast, age, low C3, and high CRP showed lower AUC values (0.56–0.58), indicating limited predictive reliability.

 

Figure 3: ROC Curves by Predictor

 

 

DISCUSSION

In the present study, systemic lupus erythematosus (SLE) predominantly affected young females, with 100% of patients being female and 73.9% aged 21–35 years. This aligns with findings from Gusetu et al10, and Bertsias et al11, who reported that nearly 90% of patients in large international study were female. The pronounced female predominance is attributed to hormonal influences, X chromosome-linked immune regulatory genes, and genetic susceptibility. Regarding demographics, most participants were Hindu (71.6%), followed by Buddhists (23.5%) and Muslims (4.9%), with a majority from rural areas (74.1%) and the remainder from urban settings (25.9%), reflecting the regional population distribution.

 

The most common symptoms among SLE patients were fatigue (93.8%), lower limb swelling (88.9%), breathlessness (86.4%), and joint pain (77.8%), highlighting the multisystem involvement and predominance of constitutional symptoms. Less frequent manifestations included chest pain (7.4%) and rash (4.9%). Musculoskeletal involvement, particularly arthritis and arthralgia, was seen in the majority, consistent with previous study done by Petri M et al.12 All patients had a prior SLE diagnosis, while comorbidities such as hypertension (3.9%), scleroderma (2.6%), and loss of appetite (7.4%) were observed in a small subset, reflecting occasional autoimmune overlap, similar to findings by Dima et al.13 Systemic signs were notable, with pallor in 53.1%, pedal edema in 42%, cyanosis in 40.7%, icterus in 35.8%, and clubbing in 33.3%, indicating hematologic, hypoxic, or hepatic involvement. Lymphadenopathy was absent. This finding correlated with study done by Keeling & Isenberg.14 Regional manifestations included nail changes (48.1%), alopecia (34.6%), musculoskeletal findings (25.9%), and Raynaud’s phenomenon (22.2%). Vital parameters revealed mild fever in 96.3%, normal pulse in 82.7%, and normal respiratory rate in 90.1%, with tachycardia and tachypnea observed in a minority. Blood pressure was normal in 56.3%, while stages 1 and 2 hypertensions occurred in 15% and 21.3%, respectively, and 7.5% had hypertensive emergencies. BMI distribution showed 59.3% normal, 35.8% overweight, and 4.9% obese, this finding in line with the previous report by Wallace DJ & Hahn BH.73 Cardiovascular assessment identified a loud S1 in 28.4% of patients, while respiratory findings included bilateral basal crepitations in 12.3%. Abdominal examination revealed tender hepatomegaly in 7.4% and moderate ascites in 50.6%, suggesting significant serosal involvement. Tense ascites was rare (1.2%), and CNS findings were normal. These results align with reports from Burkard et al16, and Kamen DL & Strange C.17

 

Hematological abnormalities were prominent in the present, with all patients exhibiting anemia and over half showing severe anemia. Leukopenia (21%) and thrombocytopenia (53%) were also common, consistent with findings by Keeling and Isenberg14 and Sultan et al.18 Liver function derangements were observed in a substantial proportion of patients, with elevated SGOT (29.6%) and SGPT (30.8%), low total protein (44.4%), and hypoalbuminemia (13.6%), reflecting hepatic involvement or systemic inflammation. Elevated total and direct bilirubin were noted in 7.4%, indicating possible cholestasis or hepatic dysfunction. These observations align with prior studies.19,20 Renal function was largely preserved, with 75.3% having normal urea and 88.9% normal creatinine. Elevated urea was seen in 12.3%, while creatinine remained normal in all, and a few had low values, possibly due to dilution, nutritional factors, or lab variability, as described by Hahn et al.21 Electrolyte disturbances were frequent, most commonly hyponatremia (39.5%), associated with higher disease activity and adverse outcomes, corroborating findings by El-Badawy et al22, and Yamany et al.23 Hypocalcemia (14.8%) likely reflected hypoalbuminemia, renal losses, or vitamin D disturbances. Hypouricemia (21%) was linked to nephrotic syndrome and high disease activity, while hypermagnesemia was less common (6.2%). Potassium levels remained normal in all patients. Lipid profiles showed normal total cholesterol, triglycerides, and LDL, but low HDL was highly prevalent (72.8%), representing “lupus dyslipoproteinemia,” a recognized cardiovascular risk in SLE. Glycemic abnormalities were striking, with 85.2% showing elevated RBS, 48.1% fasting hyperglycemia, and 66.7% postprandial hyperglycemia. HbA1c >6.5% was seen in 44.4%, indicating chronic poor glycemic control. This pattern aligns with prior studies linking disease-specific factors and corticosteroid therapy to secondary diabetes in SLE.12,24

 

In the present study, serositis was common among SLE patients, with the most frequent manifestation being ascites with pleural effusion (51.9%), followed by ascites with pericarditis (9.9%) and pericarditis with pleural effusion (6.2%). Acute myocardial injury was rare, as elevated Troponin I was observed in only 2.5% of patients, consistent with Urowitz et al.25 Proteinuria was highly prevalent, with 36% in the nephrotic range and 40% with moderate proteinuria. Renal biopsy was indicated in 92.6% of cases; Class V lupus nephritis predominated (8.6%), whereas Class III and IV were less common. Limited biopsy reporting (77.8%) may have underestimated renal involvement. This contrasts with most series where proliferative nephritis predominates.12,21 ANA testing revealed high titers, mainly 1:1000 nuclear and 1:3200 homogenous, with anti-Sm antibodies most frequent, correlating with renal involvement.21,26 Complement C3 was decreased in 48.2%, reflecting active immune complex-mediated disease, consistent with Walport MJ27 and Illei GG et al.28 Inflammatory markers including ESR, CRP, ferritin, LDH, and CK-MB were frequently elevated, consistent with active systemic inflammation. Cardiopulmonary involvement was largely subclinical; 67% had normal sinus rhythm, 16.5% sinus tachycardia, and 11.8% LVH with strain. Pulmonary edema (9.9%) and echocardiographic abnormalities were uncommon, aligning with Burkard et al16 and Kamen DL & Strange C.17 Bilateral basal crepitations were significantly associated with mortality (p=0.0036), emphasizing respiratory complications as a prognostic marker. Disease activity was high, with 59.3% in the high SLEDAI range (11–19) and 40.7% moderate (6–10). Mortality occurred only in the high activity group (12.5%, p=0.0046), highlighting the predictive value of SLEDAI. Lupus nephritis class also influenced mortality, with highest rates in Class IV (33.3%) and Class V (18.2%, p = 0.028). Other systemic features, ANA titers, and serositis patterns were not significantly associated with mortality. Overall, 92.6% of patients were discharged, with 7.4% mortality, consistent with global and Indian data.26,29

 

Strengths of the present study include detailed clinical, biochemical, and immunological profiling in a homogeneous tertiary care SLE cohort, offering valuable insights into disease patterns, activity, and organ involvement. The findings support the need for routine renal and cardiovascular monitoring, assessment of ANA subsets and complement levels, and careful immunosuppressive management. Future multicentric, longitudinal studies in India are essential to refine prognostic models and evaluate steroid-sparing biologics, addressing high renal and cardiovascular morbidity and mortality.

 

This study has certain limitations, including a relatively small sample size and its single-center design, which may limit the generalizability of the results. Renal biopsy and APLA profiling were not performed in all indicated patients due to resource constraints. Clinical and laboratory parameters were assessed only once at admission without serial follow-up, restricting evaluation of disease progression. Variations in treatment protocols and supportive care may have influenced outcomes, and long-term follow-up regarding relapse or organ damage was not included.

CONCLUSION

In the present study, fatigue, swelling, breathlessness, and joint pain were the most common presenting complaints in SLE patients. Renal involvement was significant, with nearly half exhibiting nephrotic-range proteinuria, and higher mortality observed in advanced lupus nephritis (Class IV and V). Anemia was the most frequent hematological abnormality. High disease activity (SLEDAI 11–19) was strongly associated with mortality. Most patients demonstrated significant ANA titers (>1:80) by IFA, with nuclear and homogeneous patterns predominating. Anti-dsDNA and RNP antibodies were most frequent, while anti-Sm was less common. Logistic regression identified high SLEDAI, lupus nephritis Class IV/V, and basal crepitations in lungs as independent predictors of mortality. ROC analysis revealed that Class IV lupus nephritis had the highest predictive ability for mortality, followed by high SLEDAI scores and basal crepitations.

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