Serum zinc level in children with acute lower respiratory tract infection: A hospital-based case-control study

Authors

DOI:

Keywords

acute lower respiratory tract infection, serum zinc, zinc deficiency

Correspondence

Taskina Mosleh
Email: taskinamosleh@bsmmu.edu.bd

Publication history

Received: 11 May 2026
Accepted: 21 May 2026
Published online: 25 June 2026

Funding

Funded by Bangladesh Medical University (Ref no. BSMMU/2022/9868, Dated 1 Aug 2022). 

Ethical approval

Approved by Institutional Review Board of Bangabandhu Sheikh Mujib Medical University (Memo No: BSMMU/2022/9868, Reg. no. 725, Dated 1 Aug 2022).

Trial registration number

Not applicable

Copyright

© The Author(s) 2026; all rights reserved. 
Published by Bangladesh Medical University (former Bangabandhu Sheikh Mujib Medical University).
Abstract

Background: A few studies of Bangladeshi children have reported an independent association between severe zinc deficiency and acute lower respiratory tract infection (ALRTI) after adjusting for important confounders, although evidence to the contrary also exists. The current study was conducted to examine the relationship between low zinc levels in children with ALRTI and in those without respiratory disease who attended a tertiary hospital in Bangladesh.

Methods: This hospital-based case-control study was conducted among 36 children aged 2–60 months with ALRTI and 36 controls without respiratory illness. Clinical data were recorded, and serum zinc levels were measured within 24 hours of enrollment. Multivariate logistic regression was used to adjust for age, sex, family size, maternal education, breastfeeding, immunisation status, passive smoking exposure and anthropometric indices.

Results: The median (inter-quartile range) serum zinc level was significantly lower among cases than controls [82.5 (51.5–102.3) µg/dL vs. 133.0 (100.8–171.0) µg/dL. Zinc deficiency (serum zinc ≤60 µg/dL) was more frequent among cases (41.7%) than controls (2.8%). After adjustment for age, sex, family size, breastfeeding, anthropometric indices, immunisation, maternal education, and passive smoking exposure, low serum zinc levels were independently associated with ALRTI (adjusted OR = 26.2; 95% CI: 2.8–248.6. Passive smoking exposure was also independently associated with ALRTI (adjusted OR = 5.6; 95% CI: 1.5–21.0).

Conclusion: Low serum zinc levels (≤60 µg/dL) were strongly associated with ALRTI among children, with affected children having approximately 26-fold higher odds of ALRTI than those with higher zinc levels. These findings suggest that zinc deficiency may be an important modifiable risk factor for ALRTI in this population.

Key messages
This hospital-based case-control study provides a strong association between low serum zinc levels and acute lower respiratory tract infection among Bangladeshi children aged 2–60 months. The findings strengthen existing evidence from resource-limited settings and highlight the potential public health importance of early detection and preventive interventions for zinc deficiency to help reduce lower respiratory tract infections in children.
Introduction

Acute respiratory infections (ARI) are among the leading causes of pediatric hospital admission and death in low- and middle-income countries (LMICs) [1]. Children under five are particularly vulnerable to acute lower respiratory tract infections (ALRTI), including bronchiolitis and pneumonia. In Bangladesh, pneumonia accounted for 15% of all deaths among children under five in 2015. Globally, an estimated 156 million new episodes of ALRTI occur annually in this age group [2]. Previous studies have demonstrated that malnutrition significantly increases both the incidence and severity of ALRTIs [3, 4]. Overcrowding, poor nutrition, maternal education, early weaning, low immunisation coverage, and essential micronutrient deficiencies are the major contributing factors for the high burden of ALRTI in LMICs [5]. Malnourished children are susceptible to infections like ALRTI, probably due to impaired cellular immunity and possible deficiency of micronutrients like zinc [3].

Zinc is an essential trace element that participates in a broad spectrum of biological processes and is required for the activity of more than 300 enzymes in the human body [6]. Additionally, zinc contributes to immune regulation by supporting the function of immunomodulatory molecules and signalling pathways. Zinc also has anti-viral activity by enhancing interferon production and inhibiting intracellular replication of pathogens [7]. Therefore, zinc deficiency may increase susceptibility to ALRTIs by impairing host immune responses and compromising the integrity of the respiratory epithelium during inflammation.

Previous studies investigating the association between zinc deficiency and ALRTI have reported inconsistent findings, possibly due to differences in population characteristics, nutritional status, socioeconomic conditions, and study design [8, 9]. In Bangladesh, updated evidence on serum zinc status among children with ALRTI remains limited, and most studies are a decade old; they have made limited adjustments for potential confounding variables [10, 11]. Therefore, this study was conducted to evaluate the association between severe zinc deficiency and ALRTI among Bangladeshi children using multivariable logistic regression while adjusting for age, sex, maternal education, and passive smoking exposure. The study also aimed to quantify the magnitude of association between severe zinc deficiency and ALRTI. By comparing serum zinc levels in children with and without ALRTI, this study aims to provide updated local evidence on the role of zinc deficiency as a potentially modifiable risk factor for ALRTI. The findings may inform evidence-based nutritional and preventive strategies, including micronutrient-based interventions, to reduce childhood pneumonia in resource-limited settings.

Methods

Study design

This hospital-based case-control study was conducted from October 2022 to October 2023 in the in- and outpatient department of Paediatrics at Bangladesh Medical University, Dhaka, Bangladesh. The study was designed to compare serum zinc levels in children aged 2 to 60 months diagnosed with acute lower respiratory tract infections (ALRTIs) and controls.

Study cases

Children aged 2 to 60 months presenting to the inpatient and outpatient departments of Paediatrics during the study period were screened for eligibility. Children diagnosed with acute lower respiratory tract infection (ALRTI) were assessed for the inclusion and exclusion criteria. Those with chronic illnesses, metabolic disorders, overt malnutrition, acute gastroenteritis, other concurrent infections, or a history of zinc supplementation within the preceding three months were excluded. Eligible caregivers were approached for informed consent. A total of 36 children who met all eligibility criteria and had guardians who provided written informed consent were enrolled as cases. ALRTI was diagnosed according to WHO criteria, defined as cough or difficulty breathing accompanied by tachypnoea (respiratory rate ≥50 breaths/minute in children aged 2–12 months and ≥40 breaths/minute in children aged 12–60 months), with or without chest indrawing.

Study controls

Controls were recruited from children attending for non-respiratory, non-inflammatory conditions (e.g., minor trauma, elective surgical evaluations, well-child visits). All potential controls were screened to ensure they had no respiratory symptoms within the last 14 days. Children were excluded if they had acute gastroenteritis, chronic illnesses, overt malnutrition, metabolic disorders, or had a history of taking zinc supplements within the last three months. A total of 36 children who fulfilled all eligibility criteria were enrolled as controls.

Data collection

Clinico-demographic information, including age, sex, family size, breastfeeding, immunisation, maternal education, and passive smoking exposure, was collected using a predesigned questionnaire. Anthropometric measurements were obtained using standardised techniques. Weight was measured with a calibrated digital scale, and height with an infantometer or stadiometer, as appropriate. Weight-for-age (WAZ) and height-for-age (HAZ) Z-scores were calculated by the WHO Anthro software and categorised as >+2 SD, between +2 SD and −2 SD, and <−2 SD. Anthropometric variables were included in the analysis as potential confounders.

Laboratory assessments

To measure serum zinc levels, around 2 mL of venous blood was collected from each participant on the first day of enrollment. Serum zinc estimation was performed in the Department of Biochemistry, Bangladesh Medical University (former BSMMU), using a standardised colourimetric method with commercially available kits (Centromic GmbH, Germany). All samples were analysed using the same spectrophotometer in the same laboratory throughout the study.

For the assay, 1000 µL of reagent was added to two Eppendorf tubes: one containing 50 µL of serum and the other containing the standard solution. After incubation at 37°C for 5 minutes, absorbance was measured at 560 nm using a spectrophotometer, and the serum zinc concentration was calculated accordingly. Internal laboratory quality control procedures were routinely maintained throughout the analysis. Because the assay was instrument-based with automated absorbance measurement, observer-related variation was considered minimal; formal assessment of inter- and intra-observer variation and the coefficient of variation was not performed. Zinc deficiency was defined as serum zinc <60 μg/dL, and marginal deficiency as 60–100 μg/dL [12]. Chest X-rays were documented where available.

Statistical analysis

Data were entered into Microsoft Excel and analysed using Epi Info version 7.2. Categorical variables were compared by using χ² tests. Continuous variables were compared using an independent t-test or Mann–Whitney U test, as appropriate, and are presented as mean ± standard deviation (SD) or median (interquartile range [IQR]). Univariable and multivariable logistic regression analyses were performed to identify factors independently associated with ALRTI. Variables included age, sex, family size, maternal education, breastfeeding, immunisation status, passive smoking exposure, anthropometric indices, and serum zinc level. Odds ratios (ORs) and adjusted odds ratios (AORs) with 95% confidence intervals were calculated. A P < 0.05 was considered statistically significant.

Ethical consideration

The study was done after obtaining ethical approval. Confidentiality was maintained throughout the study. Each child was assigned a unique identification number to ensure anonymity during sample collection, transportation, and reporting. Privacy protection was also emphasised when obtaining informed written consent from parents or guardians.

Results

A total of 72 children were enrolled, including 36 ALRTI cases and 36 controls. The median (IQR) age of ALRTI cases was 43 (12.0–51.3) months compared with 25.5 (12.0–44.5) months among controls. Approximately one-third of the participants were aged ≤12 months. The proportion of boys in cases and controls were 72.2% and 58.3%, respectively. Anthropometric characteristics were nearly comparable between the two groups. No statistically significant differences were observed in height-for-age (HAZ) or weight-for-age Z-score (WAZ) categories between ALRTI cases and controls (Table 1). Among ALRTI cases, the mean (SD) duration of illness was 9.1 (3.1) days. Bronchopneumonia was the most frequent clinical diagnosis (55%), followed by lobar pneumonia (39%) and bronchiolitis (5%). Pulmonary infiltrates were the most common chest X-ray finding.

Table 1 Comparison of demographic characteristics, anthropometric indices and serum zinc levels between acute lower respiratory tract infection cases and controls

Factors  

Cases

Control

P  

(n=36)

(n=36)

Median (interquartile range)

Age (months)

43.0 (12.0–51.3)

25.5 (12.0–44.5)

0.19

Serum Zinc (µg/dL)

82.5 (51.5–102.3)

133. (100.8–171)

<0.00

Family size (persons)

5.0 (4.0–6.0)

5.0 (4.0–6.0)

0.65

Number (percent)

Height for age z-score

 

 

 

>2SD

8 (22.2)

6 (16.6)

 

+2SD to -2SD

24 (66.8)

23 (63.8)

0.17

< -2SD

4 (11.1)

7 (19.4)

 

Weight for age z-score

 

 

 

>2SD

3 (8.33)

1 (2.8)

 

+2SD to -2SD

30 (83.3)

33 (91.6)

0.51

<-2SD

3 (8.33)

2 (5.56)

 

The median (IQR) serum zinc level was significantly lower among children with ALRTI [82.5 (51.5–102.3) µg/dL] than among controls (133.0 (100.8–171.0) µg/dL). This finding supports an association between lower serum zinc levels and increased susceptibility to respiratory infections. Zinc deficiency (≤60 μg/dL) was present in 41.7% of ALRTI cases compared with only 2.8% of controls. In contrast, 75% of controls had serum zinc concentrations above 100 μg/dL, whereas only 30.6% of ALRTI cases did. Passive smoking exposure was more common among ALRTI cases than controls (66.7% vs. 27.8%).

Logistic regression analysis was performed to determine factors associated with ALRTI. In univariable analysis, passive smoking exposure (OR 5.2, 95% CI: 1.9–14.2; P = 0.001) and low serum zinc levels (OR 25.0, 95% CI: 3.1–203.2; P = 0.003) were significantly associated with ALRTI. After adjustment for age, sex, family size, maternal education, breastfeeding status, immunisation status, anthropometric indices, passive smoking exposure, and serum zinc level, children with low serum zinc levels (≤60 µg/dL) had significantly higher odds of ALRTI than those with higher zinc levels (AOR 26.2, 95% CI: 2.8–248.6. Anthropometric indices were not significantly associated with ALRTI in either univariable or multivariable logistic regression analyses. Passive smoking exposure also remained independently associated with ALRTI (AOR 5.6, 95% CI: 1.5–21.0 (Table 2).

Table 2 Univariable and multivariable logistic regression analysis of factors associated with acute lower respiratory tract infection

Factors

Case

Control

OR (95% CI)

AOR (95% CI)

(n=36)

(n=36)

Age  

≤12 months

11 (30.6)

12 (33.3)

Ref.

Ref.

>12 months

25 (69.4)

24 (66.7)

1.1 (0.4–3.1)

0.9 (0.3–3.2)

Sex  

Female

10 (27.8)

15 (41.7)

Ref.

Ref.

Male

26 (72.2)

21 (58.3)

1.9 (0.7–5.0)

2.3 (0.6–8.2)

Family members

≤6 members

11 (30.6)

12 (33.3)

Ref.

Ref.

>6 members

25 (69.4)

24 (66.7)

1.1 (0.4–3.1)

1.6 (0.4–6.5)

Passive smoking

No

12 (33.3)

26 (72.2)

Ref.

Ref.

Yes

24 (66.7)

10 (27.8)

5.2 (1.9 - 14.2)b

5.6 (1.5 - 21.0)b

Maternal education

>Primary

22 (61.1)

23 (63.9)

Ref.

Ref.

≤Primary

14 (38.9)

13 (36.1)

1.1 (0.4–2.9)

1.0 (0.3–3.3)

Serum zinc

High (>60 µg/dL)

21 (58.3)

35 (97.2)

Ref.

Ref.

Low (≤60 µg/dL)

15 (41.5)

1 (2.8)

25.0 (3.1–203.2)b

26.2 (2.8–248.6)b

Exclusive breastfeeding 

Yes

19 (46.3)

22 (53.7)

Ref.

Ref.

No

17 (54.8)

14 (45.1)

0.7 (0.3–1.8)

0.5 (0.1–1.9)

Immunization  

Partial

16 (55.5)

13 (63.9)

Ref.

Ref.

Complete

20 (44.4)

23 (36.1)

1.4 (0.6–1.7)

1.6 (0.5–5.4)

Height for age z-score 

>2SD

8 (22.2)

6 (16.6)

0.3 (0.05 –1.3)

0.3 (0.01–8.9)

+2SD to -2SD

24 (66.8)

23 (63.8)

Ref.

Ref.

 <-2SD

4 (11.1)

7 (19.4)

0.7 (0.2–2.5)

0.1 (0.01–1.3)

Weight for age z-score 

>2SD

3 (8.33)

1 (2.8)

0.5 (0.03–8.9)

0.3 (0.01–8.9)

+2SD to -2SD

30 (83.3)

33 (91.6)

Ref.

Ref.

 <-2SD

 3 (8.33)

 2 (5.56)

0.3 (0.3-3.1)

 0.1 (.008–1.3)

OR indicates odds ratio; AOR indicates adjusted odds ratio; CI indicates confidence interval
aThe model included all variables (age, sex, anthropometric indices, family members, passive smoking, immunisation, exclusive breastfeeding, maternal education, serum zinc)

bP≤0.01

Variables  

Frequency (%)

Indication of colposcopy

 

Visual inspection of the cervix with acetic acid positive

200 (66.7)

Abnormal pap test

13 (4.3)

Human papilloma virus DNA positive

4 (1.3)

Suspicious looking cervix

14 (4.7)

Others (per vaginal discharge, post-coital bleeding)

69 (23.0)

Histopathological diagnosis

Cervical Intraepithelial Neoplasia 1

193 (64.3)

Cervical Intraepithelial Neoplasia 2

26 (8.7)

Cervical Intraepithelial Neoplasia 3

32 (10.7)

Invasive cervical cancer

27 (9.0)

Chronic cervicitis

17 (5.6)

Squamous metaplasia

5 (1.7)

Groups based on pre-test marks

Pretest
marks (%)

Posttest

Marks (%)

Difference in pre and post-test marks (mean improvement)

P

Didactic lecture classes

<50%

36.6 (4.8)

63.2 (9.4)

26.6

<0.001

≥50%

52.8 (4.5)

72.4 (14.9)

19.6

<0.001

Flipped classes

<50%

36.9 (4.7)

82.2 (10.8)

45.4

<0.001

≥50%

52.8 (4.6)

84.2 (10.3)

31.4

<0.001

Data presented as mean (standard deviation)

Background characteristics

Number (%)

Age at presentation (weeks)a

14.3 (9.2)

Gestational age at birth (weeks)a

37.5 (2.8)

Birth weight (grams)a

2,975.0 (825.0)

Sex

 

Male

82 (41)

Female

118 (59)

Affected side

 

Right

140 (70)

Left

54 (27)

Bilateral

6 (3)

Delivery type

 

Normal vaginal delivery

152 (76)

Instrumental delivery

40 (20)

Cesarean section

8 (4)

Place of delivery

 

Home delivery by traditional birth attendant

30 (15)

Hospital delivery by midwife

120 (60)

Hospital delivery by doctor

50 (25)

Prolonged labor

136 (68)

Presentation

 

Cephalic

144 (72)

Breech

40 (20)

Transverse

16 (8)

Shoulder dystocia

136 (68)

Maternal diabetes

40 (20)

Maternal age (years)a

27.5 (6.8)

Parity of mother

 

Primipara

156 (78)

Multipara

156 (78)

aMean (standard deviation), all others are n (%)

Background characteristics

Number (%)

Age at presentation (weeks)a

14.3 (9.2)

Gestational age at birth (weeks)a

37.5 (2.8)

Birth weight (grams)a

2,975.0 (825.0)

Sex

 

Male

82 (41)

Female

118 (59)

Affected side

 

Right

140 (70)

Left

54 (27)

Bilateral

6 (3)

Delivery type

 

Normal vaginal delivery

152 (76)

Instrumental delivery

40 (20)

Cesarean section

8 (4)

Place of delivery

 

Home delivery by traditional birth attendant

30 (15)

Hospital delivery by midwife

120 (60)

Hospital delivery by doctor

50 (25)

Prolonged labor

136 (68)

Presentation

 

Cephalic

144 (72)

Breech

40 (20)

Transverse

16 (8)

Shoulder dystocia

136 (68)

Maternal diabetes

40 (20)

Maternal age (years)a

27.5 (6.8)

Parity of mother

 

Primipara

156 (78)

Multipara

156 (78)

aMean (standard deviation), all others are n (%)

Mean escape latency of acquisition day

Groups                 

NC

SC

ColC

Pre-SwE Exp

Post-SwE Exp

Days

 

 

 

 

 

1st

26.2 (2.3)

30.6 (2.4) 

60.0 (0.0)b

43.2 (1.8)b

43.8 (1.6)b

2nd

22.6 (1.0) 

25.4 (0.6)

58.9 (0.5)b

38.6 (2.0)b

40.5 (1.2)b

3rd

14.5 (1.8) 

18.9 (0.4) 

56.5 (1.2)b

34.2 (1.9)b 

33.8 (1.0)b

4th

13.1 (1.7) 

17.5 (0.8) 

53.9 (0.7)b

35.0 (1.6)b

34.9 (1.6)b

5th

13.0 (1.2) 

15.9 (0.7) 

51.7 (2.0)b

25.9 (0.7)b 

27.7 (0.9)b

6th

12.2 (1.0) 

13.3 (0.4) 

49.5 (2.0)b

16.8 (1.1)b

16.8 (0.8)b

Average of acquisition days

5th and 6th 

12.6 (0.2)

14.6 (0.8)

50.6 (0.7)b

20.4 (2.1)a

22.4 (3.2)a

NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure.

aP <0.05; bP <0.01.

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)

Test results

Disease

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

Yes

No

Reid’s score ≥ 5

Positive

10

15

37.0

94.5

40.1

93.8

Negative

17

258

 

 

 

 

Swede score ≥ 5

Positive

20

150

74.1

45.0

11.8

94.6

Negative

7

123

 

 

 

 

Swede score ≥ 8

Positive

3

21

11.1

92.3

12.5

91.3

Negative

24

252

 

 

 

 

High-grade indicates a score of ≥5 in both tests; PPV indicates positive predictive value; NPV, negative predictive value

Test

Sensitivity (%)

Specificity (%)

Positive predictive value (%)

Negative predictive value (%)

Reid’s score ≥ 5

37.0

94.5

40.0

93.8

Swede score ≥ 5

74.1

45

11.8

94.6

Swede score ≥ 8

11.1

92.3

12.5

91.3

Test

Sensitivity (%)

Specificity (%)

Positive predictive value (%)

Negative predictive value (%)

Reid’s score ≥ 5

37.0

94.5

40.0

93.8

Swede score ≥ 5

74.1

45

11.8

94.6

Swede score ≥ 8

11.1

92.3

12.5

91.3

Narakas classification

Total

200 (100%)

Grade 1

72 (36%)

Grade 2

64 (32%)

Grade 3

50 (25%)

Grade 4

14 (7%)

Complete recoverya

107 (54)

60 (83)

40 (63)

7 (14)

-

Near complete functional recovery but partial deformitya

22 (11)

5 (7)

10 (16)

6 (12)

1 (7)

Partial recovery with gross functional defect    and deformity

31 (16)

7 (10)

13 (20)

10 (20)

1 (7)

No significant improvement 

40 (20)

-

1 (1.5)

27 (54)

12 (86)

aSatisfactory recovery

bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7, 8, 9, Grade 4, panpalsy with Hornon’s syndrome.

Narakas classification

Total

200 (100%)

Grade-1

72 (36%)

Grade-2

64 (32%)

Grade-3

50 (25%)

Grade-4

14 (7%)

Complete recoverya

107 (54)

60 (83)

40 (63)

7 (14)

-

Near complete functional recovery but partial deformitya

22 (11)

5 (7)

10 (16)

6 (12)

1 (7)

Partial recovery with gross functional defect    and deformity

31 (16)

7 (10)

13 (20)

10 (20)

1 (7)

No significant improvement 

40 (20)

-

1 (1.5)

27 (54)

12 (86)

aSatisfactory recovery

bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7,8,9, Grade 4, panpalsy with Hornon’s syndrome.

Variables in probe trial day

Groups

NC

SC

ColC

Pre-SwE Exp

Post-SwE Exp

Target crossings

8.0 (0.3)

7.3 (0.3) 

1.7 (0.2)a

6.0 (0.3)a

5.8 (0.4)a

Time spent in target

18.0 (0.4) 

16.2 (0.7) 

5.8 (0.8)a

15.3 (0.7)a

15.2 (0.9)a

NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure.

aP <0.01.

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)

-

(1.7)

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

Surgeries

Number  

(%)

Satisfactory outcomes n (%)

Primary surgery (n=24)

 

 

Upper plexus

6 (25)

5 (83)

Pan-palsy

18 (75)

6 (33)

All

24 (100)

11 (46)

Secondary Surgery (n=26)

 

 

Shoulder deformity

15 (58)

13 (87)

Wrist and forearm deformity

11 (42)

6 (54)

All

26 (100)

19 (73)

Primary and secondary surgery

50 (100)

30 (60)

Mallet score 14 to 25 or Raimondi score 2-3 or Medical Research grading >3 to 5.

Narakas classification

Total

200 (100%)

Grade-1

72 (36%)

Grade-2

64 (32%)

Grade-3

50 (25%)

Grade-4

14 (7%)

Complete recoverya

107 (54)

60 (83)

40 (63)

7 (14)

-

Near complete functional recovery but partial deformitya

22 (11)

5 (7)

10 (16)

6 (12)

1 (7)

Partial recovery with gross functional defect    and deformity

31 (16)

7 (10)

13 (20)

10 (20)

1 (7)

No significant improvement 

40 (20)

-

1 (1.5)

27 (54)

12 (86)

aSatisfactory recovery

bGrade 1, C5, 6, 7 improvement; Grade 2, C5, 6, 7 improvement; Grade 3, panpalsy C5, 6, 7,8,9, Grade 4, panpalsy with Hornon’s syndrome.

Trials

Groups

NC

SC

ColC

Pre-SwE Exp

Post-SwE Exp

1

20.8 (0.6)

22.1 (1.8)

41.1 (1.3)b

31.9 (1.9)b

32.9 (1.8)a, b

2

10.9 (0.6)

14.9 (1.7)

37.4 (1.1)b

24.9 (2.0)b

26.8 (2.5)b

3

8.4 (0.5)

9.9 (2.0)

32.8 (1.2)b

22.0 (1.4)b

21.0 (1.4)b

4

7.8 (0.5)

10.4 (1.3)

27.6(1.1)b

12.8 (1.2)b

13.0 (1.4)b

Savings (%)c

47.7 (3.0)

33.0 (3.0)

10.0 (0.9)b

23.6 (2.7)b

18.9 (5.3)b

NC indicates normal control; SC, Sham control; ColC, colchicine control; SwE, swimming exercise exposure.

aP <0.05; bP <0.01.

cThe difference in latency scores between trials 1 and 2, expressed as the percentage of savings increased from trial 1 to trial 2

 Lesion-size

Histopathology report

Total

CIN1

CIN2

CIN3

ICC

CC

SM

0–5 mm

73

0

0

0

5

5

83

6–15 mm

119

18

1

4

0

0

142

>15 mm

1

8

31

23

12

0

75

Total

193

26

32

27

17

5

300

CIN indicates cervical intraepithelial neoplasia; ICC, invasive cervical cancer; CC, chronic cervicitis; SM, squamous metaplasia

 

Histopathology report

Total

CIN1

CIN2

CIN3

ICC

CC

SM

Lesion -Size

0-5  mm

73

0

0

0

5

5

83

6-15  mm

119

18

1

4

0

0

142

>15  mm

1

8

31

23

12

0

75

Total

193

26

32

27

17

5

300

CIN indicates Cervical intraepithelial neoplasia; ICC, Invasive cervical cancer; CC, Chronic cervicitis; SM, Squamous metaplasia

Group

Didactic posttest marks (%)

Flipped posttest marks (%)

Difference in marks (mean improvement)

P

<50%

63.2 (9.4)

82.2 (10.8)

19.0

<0.001

≥50%

72.4 (14.9)

84.2 ( 10.3)

11.8

<0.001

Data presented as mean (standard deviation)

Discussion

In this hospital-based case-control study, children with ALRTI had significantly lower serum zinc levels than controls without respiratory disease. Severe zinc deficiency was strongly associated with ALRTI, highlighting a possible role of zinc deficiency in susceptibility to lower respiratory tract infections among Bangladeshi children aged 2–60 months.

Nearly one-third of the ALRTI cases in the current study were infants aged around 1 year. This finding is consistent with recent global evidence showing that infants and young children bear the highest burden of acute lower respiratory tract infections [13]. Infants are more vulnerable to ALRTI probably due to several anatomical and physiological factors, including narrow airways, short bronchial tree, immature lung development, and poor immune responses. In addition, nutritional vulnerabilities during early childhood may further contribute to the risk of respiratory infections [14].

A male predominance was observed among ALRTI cases in this study. This trend suggests that male children may have a slightly higher biological susceptibility to respiratory infections. However, socio-cultural biases favouring earlier medical attention and hospital admission for boys may also play a role in countries like Bangladesh.

One of the major findings of this study was significantly lower serum zinc levels among ALRTI cases compared with controls. This finding is supported by earlier studies suggesting that zinc deficiency is associated with increased susceptibility to respiratory infections in children [10, 15]. Zinc is an essential micronutrient that plays a vital role in maintaining immune function. Its deficiency may weaken host defences and increase vulnerability to respiratory pathogens. The markedly higher risk of pneumonia among children with severe zinc deficiency further strengthens the potential role of zinc in respiratory health. Previous clinical trials have shown that zinc supplementation as adjunct therapy in children with pneumonia has yielded inconsistent results regarding the duration of hospital stay and clinical recovery [16, 17]. This may be due to differences in baseline zinc status, participants' nutritional status, severity of pneumonia, and variations in zinc dosage and treatment protocols across studies.

Although zinc deficiency was associated with ALRTI, anthropometric indices were not significantly associated with disease occurrence in either univariable or multivariable analysis. This finding should be interpreted cautiously and should not be considered inconsistent with the established evidence linking undernutrition and childhood pneumonia [3-5]. A likely explanation is that children with overt malnutrition were excluded from both case and control groups, resulting in a relatively homogeneous nutritional profile among participants. Furthermore, anthropometric indicators such as weight-for-age and height-for-age reflect overall growth status but may not adequately capture micronutrient deficiencies or functional immune impairment. Therefore, children with apparently normal anthropometric measurements may still have clinically important zinc deficiency, particularly in low- and middle-income settings where dietary quality may be inadequate despite sufficient caloric intake [18]. The absence of a significant association in the present study may thus reflect the study population and sample size rather than the absence of a true relationship between nutritional status and ALRTI.

Age, sex, maternal education or family size were not significantly associated with disease occurrence in this study. Another important finding was the independent association between passive smoking exposure and ALRTI. Children exposed to environmental tobacco smoke had more than five-fold higher odds of ALRTI after adjustment for other risk factors. Exposure to tobacco smoke is known to impair mucociliary clearance, increase oxidative stress, promote airway inflammation, and alter both innate and adaptive immune responses [19]. Several studies have demonstrated an increased risk of pneumonia and other lower respiratory tract infections among children exposed to household smoking [20, 5]. The persistence of the association after multivariable adjustment in the current study suggests that passive smoking represents an important and potentially preventable risk factor for childhood ALRTI.

The wide confidence interval observed in the logistic regression analysis may reflect the relatively small sample size and potential instability of the model. Therefore, the magnitude of the observed associations should be interpreted with caution. Nevertheless, the direction of these associations was consistent with biological plausibility and findings from previous studies. Despite its limitations, this study contributes valuable local data on the relationship between serum zinc status and ALRTI among Bangladeshi children.

Conclusion

Children with ALRTI had significantly lower serum zinc levels than controls and were more likely to have zinc deficiency. Low serum zinc levels were independently associated with ALRTI after adjustment for potential confounding factors. These findings highlight the importance of assessing zinc status in children and support strategies to improve zinc nutrition as a potentially beneficial approach to reducing the burden of ALRTI.

Acknowledgements
We would like to express our sincere gratitude to the Department of Biochemistry, Bangladesh Medical University, for their generous support.
Author contributions
Concept or design of the work; or the acquisition, analysis, or interpretation of data for the work: TM, ND, NG. Drafting the work or reviewing it critically for important intellectual content: TM, ND. Final approval of the version to be published: TM, ND. Accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved: TM, ND, NG.
Conflict of interest
We do not have any conflict of interest.
Data availability statement
We confirm that the data supporting the findings of the study will be shared upon reasonable request.
AI disclosure
The authors take full responsibility for the content of this manuscript. ChatGPT (OpenAI) was used solely to assist with English-language editing and improve clarity, grammar, and overall structure. All AI-generated suggestions were carefully reviewed, revised, and approved by the authors. The authors confirm that all scientific content, data analysis, interpretations, and conclusions are their own, and the integrity and originality of the work were maintained.
Supplementary file
None
    References
    1. Kortz TB, Mediratta RP, Smith AM, Nielsen KR, Agulnik A, Gordon Rivera S, Reeves H, O'Brien NF, Lee JH, Abbas Q, Attebery JE, Bacha T, Bhutta EG, Biewen CJ, Camacho-Cruz J, Coronado Muñoz A, deAlmeida ML, Domeryo Owusu L, Fonseca Y, Hooli S, Wynkoop H, Leimanis-Laurens M, Nicholaus Mally D, McCarthy AM, Mutekanga A, Pineda C, Remy KE, Sanders SC, Tabor E, Teixeira Rodrigues A, Yuee Wang JQ, Kissoon N, Takwoingi Y, Wiens MO, Bhutta A. Etiology of hospital mortality in children living in low- and middle-income countries: a systematic review and meta-analysis. Front Pediatr. 2024 Jun 7;12:1397232. doi: https//doi.org/10.3389/fped.2024.1397232
    2. UNICEF. Fighting for breath in Bangladesh . 2020 [cited 2025 Nov 11]. Available at: https://stoppneumonia.org/wp-content/uploads/2020/06/BANGLADESH-2020.pdf [Accessed on 17 June 2026].
    3. Kirolos A, Blacow RM, Parajuli A, Welton NJ, Khanna A, Allen SJ, McAllister DA, Campbell H, Nair H. The impact of childhood malnutrition on mortality from pneumonia: a systematic review and network meta-analysis. BMJ Glob Health. 2021 Nov;6(11):e007411. doi: https//doi.org/10.1136/bmjgh-2021-007411
    4. Ginsburg AS, Izadnegahdar R, Berkley JA, Walson JL, Rollins N, Klugman KP. Undernutrition and pneumonia mortality. Lancet Glob Health. 2015 Dec;3(12):e735-6. doi: https//doi.org/10.1016/S2214-109X(15)00222-3
    5. Jackson S, Mathews KH, Pulanic D, Falconer R, Rudan I, Campbell H, Nair H. Risk factors for severe acute lower respiratory infections in children: a systematic review and meta-analysis. Croat Med J. 2013 Apr;54(2):110-21. doi: https//doi.org/10.3325/cmj.2013.54.110
    6. Stiles LI, Ferrao K, Mehta KJ. Role of zinc in health and disease. Clin Exp Med. 2024 Feb 17;24(1):38. doi: https//doi.org/10.1007/s10238-024-01302-6
    7. Shankar AH, Prasad AS. Zinc and immune function: the biological basis of altered resistance to infection. Am J Clin Nutr. 1998 Aug;68(2 Suppl):447S-463S. doi: https//doi.org/10.1093/ajcn/68.2.447S
    8. Tie HT, Tan Q, Luo MZ, Li Q, Yu JL, Wu QC. Zinc as an adjunct to antibiotics for the treatment of severe pneumonia in children <5 years: a meta-analysis of randomised-controlled trials. Br J Nutr. 2016 Mar 14;115(5):807-16. doi: https//doi.org/10.1017/S0007114515005449
    9. Haider BA, Lassi ZS, Ahmed A, Bhutta ZA. Zinc supplementation as an adjunct to antibiotics in the treatment of pneumonia in children 2 to 59 months of age. Cochrane Database Syst Rev. 2011 Oct 5;2011(10):CD007368. doi: https//doi.org/10.1002/14651858.CD007368.pub2
    10. Shakur MS, Malek MA, Bano N, Islam K. Zinc status in well nourished Bangladeshi children suffering from acute lower respiratory infection. Indian Pediatr. 2004 May;41(5):478-81. PMID: 15181298
    11. Rahman MM, Vermund SH, Wahed MA, Fuchs GJ, Baqui AH, Alvarez JO. Simultaneous zinc and vitamin A supplementation in Bangladeshi children: randomised double blind controlled trial. BMJ. 2001 Aug 11;323(7308):314-8. doi: https//doi.org/10.1136/bmj.323.7308.314
    12. Yokokawa H, Fukuda H, Saita M, Miyagami T, Takahashi Y, Hisaoka T, Naito T. Serum zinc concentrations and characteristics of zinc deficiency/marginal deficiency among Japanese subjects. J Gen Fam Med. 2020 Sep 18;21(6):248-255. doi: https//doi.org/10.1002/jgf2.377
    13. GBD 2023 Lower Respiratory Infections and Antimicrobial Resistance Collaborators. Global burden of lower respiratory infections and aetiologies, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023. Lancet Infect Dis. 2026 Apr;26(4):343-361. doi: 10.1016/S1473-3099(25)00689-9. Epub 2025 Dec 15. Erratum in: Lancet Infect Dis. 2026 Apr;26(4):e214. doi: https//doi.org/10.1016/S1473-3099(26)00124-6
    14. World Health Organization. Pneumonia in children. Geneva: World Health Organization; 2022. Available at: https://www.who.int/en/news-room/fact-sheets/detail/pneumonia. [Accessed on 17 June 2026].
    15. Natroshvili M, Chkhaidze M. Impact of Zinc Deficiency on the Severity of Pneumonia in Pediatric Patients: A Cross-Sectional Study. Cureus. 2025 Dec 3;17(12):e98383. doi: https//doi.org/10.7759/cureus.98383
    16. Howie S, Bottomley C, Chimah O, Ideh R, Ebruke B, Okomo U, Onyeama C, Donkor S, Rodrigues O, Tapgun M, Janneh M, Oluwalana C, Kuti B, Enwere G, Esangbedo P, Doherty C, Mackenzie G, Greenwood B, Corrah T, Prentice A, Adegbola R, Zaman S. Zinc as an adjunct therapy in the management of severe pneumonia among Gambian children: randomized controlled trial. J Glob Health. 2018 Jun;8(1):010418. doi: https//doi.org/10.7189/jogh.08.010418
    17. Brown N, Kukka AJ, Mårtensson A. Efficacy of zinc as adjunctive pneumonia treatment in children aged 2 to 60 months in low-income and middle-income countries: a systematic review and meta-analysis. BMJ Paediatr Open. 2020 Jul 12;4(1):e000662. doi: https//doi.org/10.1136/bmjpo-2020-000662
    18. Wessells KR, Brown KH. Estimating the global prevalence of zinc deficiency: results based on zinc availability in national food supplies and the prevalence of stunting. PLoS One. 2012;7(11):e50568. doi: https//doi.org/10.1371/journal.pone.0050568
    19. Saaoud F, Shao Y, Cornwell W, Wang H, Rogers TJ, Yang X. Cigarette Smoke Modulates Inflammation and Immunity via Reactive Oxygen Species-Regulated Trained Immunity and Trained Tolerance Mechanisms. Antioxid Redox Signal. 2023 May;38(13-15):1041-1069. doi: https//doi.org/10.1089/ars.2022.0087
    20. Jones LL, Hashim A, McKeever T, Cook DG, Britton J, Leonardi-Bee J. Parental and household smoking and the increased risk of bronchitis, bronchiolitis and other lower respiratory infections in infancy: systematic review and meta-analysis. Respir Res. 2011 Jan 10;12(1):5. doi: https//doi.org/10.1186/1465-9921-12-5