|
Indian Pediatr 2017;54: 817-824 |
 |
Survival and Recovery in Severely Wasted
Under-five Children Without Community Management of Acute
Malnutrition Programme
|
Harshpal Singh Sachdev, Sikha Sinha,
*Neha Sareen,
#RM Pandey and
*Umesh Kapil
From the Department of Pediatrics and Clinical
Epidemiology, Sitaram Bhartia Institute of Science and Research; and
Departments of *Gastroenterology and Human Nutrition, and #Biostatistics,
All India Institute of Medical Sciences; New Delhi, India.
Correspondence to: Dr Harshpal Singh Sachdev, Senior
Consultant, Department of Pediatrics and Clinical Epidemiology, Sitaram
Bhartia Institute of Science and Research, New Delhi, India.
Email: [email protected]
Received: December 15, 2016;
Initial Review: March 06, 2017;
Accepted: July 09, 2017.
PII:S097475591600071
|
Objective: To evaluate recovery and survival of severely wasted
children without community management of acute malnutrition programme.
Design: Single time point
follow-up (24th December 2013 – 2nd April, 2014) of severely wasted
children identified in a community-based cross-sectional survey
(September 2012 – October 2013).
Setting: Rural Meerut
District, Uttar Pradesh, India.
Participants: 409 severely wasted
(WHO weight-for-height <-3Z), 6- to 59-month-old children.
Outcome measures: Survival
and recovery (weight-for-height ³-2Z).
Results: Median (IQR) follow-up
contact duration was 7.4 (6.6, 10.1) months. Among 11 deaths, there were
5 (case-fatality 1.2%), 6 (1.5%), 8 (2.0%) and 10 (2.4%) events within
1, 1.5, 4 and 6 months of enrolment, respectively. Ten deaths occurred
in children aged between 6 and 24 months. Younger age (P=0.04),
poorer household-head occupation (P=0.04) and lower enrolment
anthropometry (any variable; P<0.001) were significant predictors
of mortality. Children below 18 months of age had higher adjusted
mortality risk (HR 4.7; 95% CI 0.95, 22.51; P=0.053). At
follow-up, 30% of survivors were still severely wasted, 39% were
moderately wasted (weight-for-height -3 to <-2Z) and 31% had recovered
spontaneously. Younger age (P<0.001), female gender (P=0.04)
and longer follow-up duration (P=0.003) were significant
independent predictors of recovery. The adjusted OR (95% CI) for
recovery <24 months was 2.81 (1.70, 4.65).
Conclusion: Without community
management of acute malnutrition in rural Meerut District, severely
wasted children had low (1.2%-2.7%) case-fatality with long-term
spontaneous recovery of around 25-30%.
Key words: Mortality, Outcome, Protein energy
malnutrition, Severe acute malnutrition.
|
I n 2011, the global prevalence of severe acute
malnutrition (SAM) below 5 years of age, estimated as severe wasting or
weight-for-height £3
Z-score of WHO reference, was 3% or 19 million children with the highest
burden in South Central Asia (5.1%) and central Africa (5.6%) [1]. In a
recent pooled analysis of ten prospective studies recruiting
participants between 1977 and 1997, the mortality risk (HR; 95% CI) for
severe wasting was 11.63; 9.84, 13.76 [2]. The proportion of total
under-five mortality attributable to severe wasting was quantified as
7.4% or between 516,000 and 540,000 deaths [1].
Management of SAM was estimated to be the most
important nutrition intervention to scale up; at 90% coverage, this
mediation could save between 285,000 and 482,000 lives [3].
The World Health Organization (WHO) recommends
inpatient treatment for children with complicated SAM [4], an estimated
15% of the total burden [3].
Community-based management is recommended for the
overwhelming majority (~85%) with uncomplicated SAM, including specially
formulated diets like Ready-to-use Therapeutic Foods (RUTF) [4,5]. These
recommendations and the aforementioned lives-saved projections have
strengthened advocacy for community-based management of SAM, which is
still not being practiced in several states in India. Important reasons
for this include financial constraints and controversy surrounding the
use of commercial products and projected benefits [6,7].
The lives-saved projections draw upon the mortality
risk of untreated severely wasted children, based on 2-4 decades old
studies [2]. With advances in socio-economic profiles, mortality indices
and health care, these mortality risks may be overestimates for several
regions of modern India. Further, recovery rates (43%-57%) are lower
than in African studies, despite longer treatment and greater support
for feeding and morbidity management [8]. It is therefore conceivable
that the recovery rates and mortality risk of uncomplicated severe
wasting in community settings are less dependent upon specially
formulated diets than in African regions. This study evaluated recovery
and survival of severely wasted children, identified in a
community-based survey, under the existing community health care system.
Methods
This study is an extension of a larger
cross-sectional study entitled "Evaluation of midarm circumference for
detection of SAM in children aged 6-59 months with weight-for-height Z
score below -3 SD as reference", the results of which are being
communicated separately. Briefly, this community-based cross-sectional
study was conducted between September 2012 and October 2013 in District
Meerut, Uttar Pradesh, India. Two adjoining rural blocks were identified
and their 70 contiguous villages were selected. House visits were
undertaken to locate 6-59 months old children. Children with severe
illnesses and physical deformities were excluded. After written informed
consent from parents, eligible children were evaluated by the trained
research team at local Anganwadi Centers or Health Sub-centres or
schools. Socio-demographic profile was recorded on a pretested proforma.
Anthropometric measurements were conducted by standard techniques [9].
Length was measured below 24 months of age by an infantometer (SECA,
Germany) and height in 24-59 months old by a stadiometer (SECA, Germany)
with a least count of 0.1 cm. Weight (with minimal clothing) to the
nearest 10 grams was recorded on a digital weighing scale (SECA,
Germany). Mid upper arm circumference (MUAC) was measured by fiber glass
tape to the nearest 0.1 cm. Technical errors of measurements for inter-
and intra-observer variations were below 2%. Each child was also
clinically examined for visible severe wasting and bipedal edema. WHO
reference Z scores were calculated for the three anthropometric indices
(length/height-for-age, weight-for-age and weight-for-height) [10]. In
the 18463 children with valid measurements, only one child had pedal
edema. The prevalence of severe wasting (weight-for-height <-3Z) was 2.2
% (95% CI 2.02%, 2.44%).
Within the backdrop of the main survey, no special
efforts were made to sensitize the community or government functionaries
(if willing to help) about the importance of identification of SAM
children and their further management. Parents or caregivers of severely
wasted children were given appropriate nutritional counselling by the
project staff, and these children were referred to the nearest Primary
Health Center for further management. At the time of conduct of the
study, there was no special provision or programme for management of SAM
in Uttar Pradesh.
It was considered unethical to prospectively
follow-up all the recruited subjects at repeated intervals without
offering continuing management support. Based on ethical, logistic and
financial considerations, after completion of the original
cross-sectional survey, we attempted home visits only for the 409
severely wasted children to determine their survival status, date of
death (if applicable) and repeat anthropometry. Survival status for few
migrants was established telephonically but their anthropometry could
not be recorded. This repeat follow-up was done between 24th December
2013 and 2nd April, 2014. Contingent upon this design, the follow-up
duration from the initial visit varied from 0.6 to 17.8 months among
survivors.
Ethical clearance was obtained from the Institutional
Ethics Committee of All India Institute of Medical Sciences for both the
initial cross-sectional study and the repeat follow-up visit. The study
was approved by the Government of India and the Uttar Pradesh State
Government. Oversight was provided by the National Research Alliance for
SAM established by the Indian Government. An independent institution
(Clinical Development Services Agency) periodically audited the study
and provided recommendations.
Statistical analyses: Data analysis was
performed using SPSS version 20.0. Descriptive statistics were compared
with Chi-square and t-test. In children above 5 years at follow-up,
weight-for-height Z score was linearly interpolated at exact age of 5
years using the baseline and follow-up anthropometry. Recovery was
defined as WHO weight-for-height Z-score
³-2 [4]. Univariate
and multivariate associations for mortality and recovery were evaluated
by Cox Proportional Hazard Model [11] and logistic regression,
respectively. The probability of survival and recovery in relation to
follow up time was estimated by Kaplan-Meier plot [12].
Results
Baseline characteristics of 409 severely wasted
children are summarized in Table I. There was greater
representation of 6- to 24-month-old children (55%), boys (63%), nuclear
families (62%) and Hindus (53%). Half the households were headed by
unemployed or unskilled labourers and a quarter by semi-skilled or
skilled workers. Parental literacy was poor; 26% fathers and 53% mothers
were illiterate. Co-existence of other anthropometric deficits was
common; stunting in 71%, severe stunting in 42%, underweight in 98%,
severe underweight in 84% and MUAC <-3 Z in 33%. Only 23% had MUAC <11.5
cm. Except for underweight, other anthropometric deficits were
significantly higher in 6-24 months old subjects. Mortality outcome was
known with certainty in all while repeat anthropometry for comparison
was available for 368 (92.5%) survivors (Fig. 1). The
median (IQR) and range of follow-up contact duration were 7.4 (6.6,
10.1) months and 3.0 to 17.8 months, respectively.
TABLE I Baseline Characteristics of 409 Children With Severe Wasting
Characteristic |
Age category |
Total |
|
6-24 mo
|
24-59 mo |
|
Number (% of total) |
226 (55) |
183 (45) |
409 |
Age* (mo) |
14.47 (5.03) |
41.98 (10.91) |
26.78 (15.96) |
Boys |
140 (61.9) |
118 (64.5)
|
258 (63.1) |
Type of family (Nuclear) |
131 (58.0) |
121 (66.1)
|
252 (61.6)
|
Religion |
Hindu` |
110 (48.7)
|
105 (57.4)
|
215 (52.6)
|
Muslim |
116 (51.3)
|
77 (42.1)
|
193 (47.2)
|
Sikh |
0 (0)
|
1 (0.5)
|
1 (0.2)
|
Occupation of head of the household |
Professional/ Semi-Professional/ Clerical/ Shop owner/ farmer |
42 (18.6)
|
51 (27.9) |
93 (22.7)
|
Skilled worker/ Semi-skilled worker |
68 (30.1)
|
46 (25.1)
|
114 (27.9) |
Unskilled worker/ Unemployed |
116 (51.3)
|
86 (47.0)
|
202 (49.4)
|
Father’s education |
Illiterate |
60 (26.5)
|
48 (26.2)
|
108 (26.4)
|
Primary School |
63 (27.9)
|
48 (26.2)
|
111 (27.1)
|
Middle School & higher |
103 (45.6)
|
87 (47.5)
|
190 (46.5)
|
Mother’s education |
Illiterate |
121 (53.5)
|
94 (51.4)
|
215 (52.6)
|
Literate |
105 (46.5)
|
89 (48.6)
|
194 (47.4)
|
Family income* (annual) (in `)# |
84,432 (1.61) |
81,479 (1.66) |
83,100 (1.63) |
Baseline height* (cm) |
69.69 (6.09) |
89.47 (9.62) |
78.54 (12.60) |
WHO height-for-age Z score* |
-2.98 (1.79) |
-2.48 (1.55) |
-2.76 (1.70) |
Stunting (WHO length/height-for-age <-2 Z) |
172 (76.1)
|
117 (63.9)
|
289 (70.7) |
Severe stunting (WHO length/height-for-age <-3 Z) |
108 (47.8)
|
63 (34.4)
|
171 (41.8)
|
Baseline weight* (kg) |
6.14 (1.14) |
9.71 (1.83) |
7.73 (2.32) |
WHO weight-for-age Z score* |
-4.04 (1.01) |
-3.60 (0.89) |
-3.84 (0.98) |
Underweight (WHO weight-for-age <-2 Z) |
222 (98.2)
|
178 (97.3)
|
400 (97.8)
|
Severe underweight (WHO weight-for-age <-3 Z) |
200 (88.5) |
145 (79.2) |
345 (84.4) |
WHO weight-for-length/height Z score* |
-3.56 (0.49) |
-3.40 (0.40) |
-3.49 (0.46) |
Baseline MUAC* (cm) |
11.6 (1.1) |
13.0 (0.9) |
12.2 (1.2) |
WHO MUAC-for-age Z score* |
-2.90 (1.10) |
-2.54 (0.78) |
-2.74 (0.99) |
WHO MUAC-for-age <-3 Z |
90 (39.8) |
44 (24.0) |
134 (32.8) |
MUAC <12.5 cm |
182 (80.5) |
40 (21.9) |
222 (54.3) |
MUAC <11.5 cm |
87 (38.5) |
8 (4.4) |
95 (23.2) |
MUAC <11.0 cm |
52 (23.0) |
3 (1.6) |
55 (13.4) |
Values in n (%) or *Mean (SD); #Geometric mean
(SD) from log transformed values; MUAC: Mid upper arm
circumference. |
 |
Fig. 1 Flow chart for the follow-up.
|
There were 11 deaths during 290.5 person-years
follow-up with a case fatality of 2.7% (95% CI 1.4, 4.8) and mortality
incidence (per thousand person-years) of 37.9 (95% CI 21.0, 68.4). There
were 5 (case fatality 1.2%), 6 (1.5%), 8 (2.0%) and 10 (2.4%) deaths
within 1, 1.5, 4 and 6 months of enrolment, respectively. Mortality was
comparable among boys and girls (6 vs 5) with incidence (95% CI)
being 32.5 (14.6, 72.4) and 47.1 (19.6, 113.1), respectively. Younger
age (P=0.04), poorer occupation of head of household (P=0.04)
and lower enrolment anthropometry (any variable; P<0.001) were
significant predictors of mortality in the univariate model (WebTable
I). Among anthropometric variables, the effect size of the association
was greatest for MUAC followed by MUAC-for-age in both univariate and
multivariate (age, sex, socio-economic profile adjusted) models. Ten
deaths occurred in younger subjects; the mortality incidence (95% CI)
was 63.6 (34.2, 118.2) and 7.5 (1.1, 53.3) in 6-24 and 24-60 months’ age
groups, respectively. Mortality risk was higher (HR 4.7; 95% CI 0.95,
22.51; P=0.053) in children below 18 months of age even after
adjustment for sex, baseline weight-for-length/height Z-score and
socio-economic factors.
TABLE II Change in Anthropometric Z-Score Categories in Relation to Follow-up Duration (N=368)
Characteristic |
Baseline
|
Maximum follow-up duration |
|
|
6 mo |
8 mo |
12 mo |
18 mo |
Follow-up duration statistics |
Range (mo) |
NA |
0.6-5.9 |
0.6-8.0 |
0.6-11.0 |
0.6-18.0 |
Mean (SD) |
NA |
4.4 (1.5) |
6.1 (1.6) |
6.7 (1.9) |
8.1 (3.4) |
Median (IQR) |
NA |
4.9 (4.2, 5.6) |
6.7 (5.3, 7.3) |
7.0 (5.8, 7.6) |
7.3 (6.2, 10.0) |
Number available |
368 |
86 |
244 |
299 |
368 |
Weight-for-length/height; number (%) |
Severe wasting (<-3 Z) |
368 (100) |
48 (56) |
80 (33) |
97 (33) |
110 (30) |
Moderate wasting (-3 to -2 Z) |
0
|
27 (31) |
98 (40) |
123 (41) |
145 (39) |
Normal or recovered (≥ -2 Z) |
0
|
11 (13) |
66 (27) |
79 (26) |
113 (31) |
Change from baseline; Mean (SD) Z score |
NA |
0.41 (0.94) |
0.92 (0.99) |
0.93 (1.04) |
1.04 (1.09) |
Length/height-for-age; number (%) |
Severe stunted (<-3 Z) |
148 (40) |
30 (35) |
106 (43) |
133 (45) |
171 (46) |
Moderate stunted (-3 to -2 Z) |
112 (31) |
26 (30) |
80 (33) |
96 (32) |
113 (31) |
Normal (≥-2 Z) |
108 (29) |
30 (35) |
58 (24) |
70 (23) |
84 (23) |
Change from baseline; Mean (SD) Z score |
NA |
-0.09 (0.47) |
-0.14 (0.53) |
-0.17 (0.61) |
-0.18 (0.79) |
Weight-for-age; number (%) |
Severe underweight (<-3 Z) |
313 (85) |
56 (65) |
155 (64) |
194 (65) |
229 (62) |
Moderate underweight (-3 to -2 Z) |
47 (13) |
23 (27) |
64 (26) |
76 (25) |
102 (28) |
Normal (≥-2 Z) |
8 (2) |
7 (8) |
25 (10) |
29 (10) |
37 (10) |
Change from baseline; Mean (SD) Z score |
NA |
0.24 (0.54) |
0.55 (0.65) |
0.54 (0.68) |
0.59 (0.75) |
Sensitivity Analyses |
|
|
|
|
|
Weight-for-length/height using baseline length/height; number
(%)* |
Severe wasting (<-3 Z) |
368 (100) |
24 (28) |
26 (11) |
32 (11) |
32 (9) |
Moderate wasting (-3 to -2 Z) |
0 (0) |
30 (36) |
59 (24) |
69 (23) |
70 (19) |
Normal or recovered (≥-2 Z) |
0 (0) |
32 (37) |
158 (65) |
197 (66) |
261 (72) |
Weight-for-length/height using adjusted length/height; number
(%)^ |
Severe wasting (<-3 Z) |
368 (100) |
51 (59) |
93 (38) |
118 (40) |
136 (37) |
Moderate wasting (-3 to -2 Z) |
0 (0) |
24 (28) |
97 (40) |
117 (39) |
137 (37) |
Normal or recovered (≥-2 Z) |
0 (0) |
11 (13) |
54 (22) |
64 (21) |
95 (26) |
Change from baseline; Mean (SD) Z score |
NA |
0.33 (0.94) |
0.80 (0.99) |
0.78 (1.04) |
0.88 (1.09) |
NA: Not applicable; The minimum follow-up duration is
truncated till the exact age of five years in subjects requiring
interpolation of anthropometry. The actual minimum follow-up duration
was 4.1 months in survivors; *Weight-for-length/height was calculated
using follow-up weight and baseline length/height. Sample sizes were
reduced by 1, 1 and 5 children at 8, 12 and 18 months, respectively
because WHO Z-scores could not be computed with the baseline
length/height at follow-up age; ^ Weight-for-length/height was
calculated using recorded weight at follow-up. However, the follow-up
length/height was adjusted upwards for the marginal average decline from
baseline to get an estimate of change in weight-for-length/height
assuming that there is no length/height deficit.
|
In survivors, the median (IQR) and range of follow-up
duration were 7.4 (6.6, 10.2) months and 4.1 to 17.8 months,
respectively. Table II summarizes the change in
anthropometric Z-score categories in relation to maximum follow-up
duration with six-monthly increments and an additional time window of 8
months for comparison with the multicentric Indian study [8]. The mean
(SD) change in weight-for-length/height Z-score increased with follow-up
duration, with the overall value being 1.04 (1.09). Overall, among 368
severely wasted children, only 30% were still severely wasted, 39% were
moderately wasted and 31% had recovered. In the subgroup with maximum
follow-up of 6 months, 56% were still severely wasted but the
corresponding figure for 8 months was 33%, which was similar to overall
(30%) statistics. Probability of recovery and shifting to
weight-for-length/height category ³-3Z
increased sequentially with follow-up duration (Web Fig. 1).
Younger age (P<0.001), female gender (P=0.04) and longer
follow-up duration (P=0.003) were significant independent
predictors of recovery (Web Table II). The adjusted OR
(95% CI) for recovery below 24 months was 2.81 (1.70, 4.65).
The mean (SD) change in weight-for-age Z-score was
lower than weight-for-length/height but this too increased with
follow-up duration, with the overall value being 0.59 (0.75).
Consequentially, 62% remained severely underweight, 28% were moderately
underweight and only 10% had become normal. In contrast, mean (SD)
length/height-for-age Z-score decreased with follow-up duration, with
the overall value being -0.18 (0.79) (Table II). Thus 46%
were severely stunted, 31% were moderately stunted and 23% were normal
at follow-up. Using methodology adopted by several African studies [8],
namely, height at enrolment to compute weight-for-length/height Z-score
during follow-up, enhanced overall recovery to 72%. Conversely,
correction for observed height deficit since enrolment, reduced overall
recovery from 31% to 26%.
Discussion
Under the existing community health care system in
rural Meerut District, the case fatality for severely wasted children
was only 1.2% within 1 month and 2.7% with median follow-up contact of
7.4 months. Only 30% of survivors were still severely wasted, 39% were
moderately wasted and 31% had recovered spontaneously. Younger age,
female gender and longer follow-up duration predicted recovery while
younger age, lower category of occupation of household-head and poorer
anthropometry at enrolment forecasted mortality.
This quality-monitored dataset on a reasonable sample
size from rural India provides contemporary evidence on recovery and
survival under the existing community health care system of a poorly
performing State. This information is crucial for estimating the
cost-effectiveness of, and need for, investing in community-based
management of SAM. Biased estimates are improbable because mortality
status was available for all and follow-up anthropometry for 93% of
survivors. It is unlikely that participants recovered at shorter
duration of follow-up became wasted later on, because Kaplan-Meir curves
revealed increasing recovery rates with greater follow-up duration.
Ethical considerations precluded collection of detailed prospective
information on morbidity, treatment and cause of death. Another
limitation was that only severely wasted children were followed-up;
financial and logistic reasons prevented follow-up of children with MUAC
<115 mm.
In this rural setting with no dedicated program for
management of SAM, the low case fatality was unanticipated and digressed
from the general perception that uncomplicated severe wasting results in
high mortality, if left untreated [3-5]. Underestimation of case
fatality is unlikely because survival status was available for all
participants with a minimum follow-up duration of 4.1 months. Although
appetite was not specifically ascertained, exclusion criteria of severe
illness suggests that bulk of participants had uncomplicated SAM, which
has relatively lower-case fatality. Additional explanatory possibilities
include: (i) vulnerability to mortality is reduced above six
months, (ii) improvement in access to public and private
healthcare, and (iii) provision of additional therapeutic
nutritional products may not be critical for survival.
There is paucity of contemporary data from India for
direct comparison. In the multicentric efficacy trial [8], case fatality
in severely wasted children during the treatment phase (maximum 16
weeks) was lower (3/855; 0.4% vs 2.0%) despite a high morbidity
burden (10.3% hospitalizations, 41.5% diarrhea, 13.3% acute respiratory
infections and 61.6% fever). This reflects the effect of additional
comprehensive intervention package provided free-of-cost, which included
antibiotics at initiation of treatment, quality management of
intercurrent morbidities with need-based hospitalization, diets of high
nutritional value, and peer support for feeding. Among four recently
published programmatic experiences [13-16], three necessitating
inpatient facility management [13-15] are not directly comparable. In
the fourth study from rural Bihar [16], uncomplicated cases of SAM
defined as weight-for-height Z <-3 SD and/or MUAC <110 mm (February 2009
to June 2010) or MUAC <115 mm (from July 2010), were treated as
outpatients and provided WHO-standard ready to use, therapeutic,
lipid-based nutrition product on a weekly basis. Deterioration to
complicated SAM during course of therapy was managed through inpatient
facility admission. Notwithstanding these supplementary therapeutic
inputs, the case fatality during six weeks (66/6184; 1.1%) was broadly
comparable to our study (1.5%). In a single follow-up contact similar to
ours, the investigators also contacted defaulters, namely, those with
MUAC <115 mm failing to attend the ambulatory therapeutic feeding center
for two consecutive weeks or children who left the inpatient
stabilisation centre and did not return for two consecutive days [17];
25% had been in the program for >7 weeks. These defaulter criteria
selected younger children, girls and few complicated SAM, who were at
greater risk of mortality. Their case fatality within 1 and 18 months
was 2.9% (20/692) and 5.2% (36/692), respectively; our corresponding
rates being 1.2% and 2.7%. Finally, the case fatality rates observed by
us (1.2% to 2.7%) were well within the standard of care (4%) established
for community-based management of SAM using a Delphi process [5].
In survivors, spontaneous improvement occurred in
weight-for-length/height, which increased with follow-up duration. A
similar decline in wasting was reported among untreated defaulters in
Bihar program between 3 and 18 months of follow-up [17]. However, our
recovery rates (13%-31%) were substantially lower than the proposed [5]
standard (80%; range 50-93%) and Bihar programme (53% at mean 7.9 weeks)
with slightly different criteria (weight-for-height >-2Z and MUAC>110 mm
with no edema). In the multicentric efficacy trial [8] employing
identical criteria, recovery at the end of treatment phase (4 months or
earlier) was likewise higher (420/855; 49.1%). However, four months
later (end of sustenance phase), only 14.7 % remained recovered, 48%
were moderately wasted and 37.3% were still severely wasted. Our study
documented marginally better figures with follow-up duration
£8 months. In
conformity with earlier observation [8], we also documented a
substantial increase in recovery (27% to 65%) if enrolment height was
used instead of concomitant height as done in several African studies.
In the multicentric efficacy trial [8], there was a
marginal increase in height-for-age (0.04 to 0.08 Z) at the end of
sustenance phase. In contrast, we documented a small decrease (0.14 Z),
which partly explained spontaneous recovery rates. However, the
contribution of decreased height-for-age on recovery rates appeared
small in sensitivity analyses (from 27% to 22% at 8 months; Table
II).
The low case fatality and long-term spontaneous
recovery rates (~25%-30%) in severely wasted Indian children need
confirmation. However, the lower recovery rates than African settings,
particularly after cessation of treatment phase [8], and our data
suggest that the benefits of investing in community-based management of
severe wasting in India are considerably overestimated. Extreme thinness
in Indian children could have a different biological and social
perspective than in African regions prone to periodic food insecurity.
If consensus with this evidence input still favors initiating such a
program, we could focus on ages between 6 months and 2 years because of
their higher case-fatality and better recovery rates.
In conclusion, without community management of acute
malnutrition in rural Meerut District of India, severely wasted children
had low (1.2% - 2.7%) case-fatality with long-term spontaneous recovery
of around 25-30%.
Contributors: HSS and UK conceptualized the study
and drafted the manuscript. UK and NS managed the field conduct and
logistics. SS, RMP and HSS analyzed the data. All authors contributed to
the critical revision of the manuscript, and its final approval.
Acknowledgement: We are grateful to Clinical
Development Services Agency (CDSA) Team, Department of Biotechnology,
Government of India for providing supportive supervision and quality
monitoring; and the Steering committee and Technical Advisory Group of
National Severe Acute Malnutrition Alliance constituted by the Ministry
of Health and Family Welfare, Department of Biotechnology, and Indian
Council of Medical Research for their technical support and guidance.
Funding: Indian Council of Medical Research,
India (ICMR 5/97/506/2011-NUT). Competing interests: None stated.
What is Already Known?
•
Based on decades old evidence, mostly from African regions,
policy stakeholders believe that uncomplicated severe wasting
results in high mortality and poor spontaneous recovery, if left
untreated in the community.
What This Study Adds?
•
In this era, without
community management of acute malnutrition in rural Meerut
District, severely wasted children had low (1.2% - 2.7%)
case-fatality with long-term spontaneous recovery of ~25%-30%.
|
References
1. Black RE, Victora CG, Walker SP, Bhutta ZA,
Christian P, de Onis M, et al., and the Maternal and Child
Nutrition Study Group. Maternal and child undernutrition and overweight
in low-income and middle-income countries. Lancet. 2013;382:427-51.
2. McDonald CM, Olofin I, Flaxman S, Fawzi WW,
Spiegelman D, Caulfield LE, et al.; Nutrition Impact Model Study.
The effect of multiple anthropometric deficits on child mortality:
meta-analysis of individual data in 10 prospective studies from
developing countries. Am J Clin Nutr. 2013;97:896-901.
3. Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N,
Horton S, et al., The Lancet Nutrition Interventions Review
Group, and the Maternal and Child Nutrition Study Group. Evidence-based
interventions for improvement of maternal and child nutrition: what can
be done and at what cost? Lancet. 2013;382:452-77.
4. World Health Organization. Guideline: Updates on
the Management of Severe Acute Malnutrition in Infants and Children.
Geneva: World Health Organization; 2013.
5. Lenters LM, Wazny K, Webb P, Ahmed T, Bhutta ZA.
Treatment of severe and moderate acute malnutrition in low- and
middle-income settings: A systematic review, meta-analysis and Delphi
process. BMC Public Health. 2013;13:S23.
6. Prasad V. Reading Between the Lines of the RUTF
Trial, India. Available from:
http://gh.bmj.com/content/1/4/e000144.e-letters-letters#re-reading-between-the-lines-of-the-rutf-trial-india.
Accessed March 23, 2017.
7. Dadhich JP. Is it prudent to recommend RUTF in
India based on the results of this trial? Available from:
http://gh.bmj.com/content/1/4/e000144.e-letters#re-is-it-prudent-to-recommend-rutf-in-india-based-on-the-results-of-this-trial.
Accessed March 23, 2017.
8. Bhandari N, Mohan SB, Bose A, Iyengar SD, Taneja
S, Mazumder S, et al. Efficacy of three feeding regimens for
home-based management of children with uncomplicated severe acute
malnutrition: a randomised trial in India. BMJ Global Health.
2016;1:e000144. doi:10.1136/bmjgh-2016-000144; Available from:
http:// http://gh.bmj.com/content/1/4/e000144. Accessed March 23,
2017.
9. World Health Organization. Physical Status: The
Use and Interpretation of Anthropometry; Report of a WHO Expert
Committee Technical Report. Geneva: World Health Organization; 1995.
10. World Health Organization. The WHO Child Growth
Standards. Available from:
http://www.who.int/childgrowth/standards/en/. Accessed September 6,
2016.
11. Bradburn MJ, Clark TG, Love SB, Altman DG.
Survival analysis part II: multivariate data analysis—an introduction to
concepts and methods. Br J Cancer. 2003;89:431-6.
12. Clark TG, Bradburn MJ, Love SB, Altman DG.
Survival analysis. Part I: basic concepts and first analyses. Br J
Cancer. 2003;89:232-8.
13. Singh K, Badgaiyan N, Ranjan A, Dixit HO, Kaushik
A, Kushwaha KP, et al. Management of children with severe acute
malnutrition: Experience of Nutrition Rehabilitation Centers in Uttar
Pradesh, India. Indian Pediatr. 2014;51:21-5.
14. Aguayo VM, Jacob S, Badgaiyan N, Chandra P, Kumar
A, Singh K. Providing care for children with severe acute malnutrition
in India: New evidence from Jharkhand. Public Health Nutr.
2014;17:206-11.
15. Aguayo VM, Agarwal V, Agnani M, Das Agrawal D,
Bhambhal S, Rawat AK, et al. Integrated program achieves good
survival but moderate recovery rates among children with severe acute
malnutrition in India. Am J Clin Nutr. 2013;98:1335-42.
16. Burza S, Mahajan R, Marino E, Sunyoto T,
Shandilya C, Tabrez M, et al. Community-based management of
severe acute malnutrition in India: New evidence from Bihar. Am J Clin
Nutr. 2015;101:847-59.
17. Burza S, Mahajan R, Marino E, Sunyoto T,
Shandilya C, Tabrez M, et al. Seasonal effect and long-term
nutritional status following exit from a community-based management of
severe acute malnutrition program in Bihar, India. Eur J Clin Nutr.
2016;70:437-44.
|
|
 |
|