Literature DB >> 35521039

Prospective cohort study of referred Malawian children and their survival by hypoxaemia and hypoglycaemia status.

Carina King1, Beatiwel Zadutsa2, Lumbani Banda2, Everlisto Phiri2, Eric D McCollum3, Josephine Langton4, Nicola Desmond5, Shamim Ahmad Qazi6, Yasir Bin Nisar6, Charles Makwenda2, Helena Hildenwall1.   

Abstract

Objective: To investigate survival in children referred from primary care in Malawi, with a focus on hypoglycaemia and hypoxaemia progression.
Methods: The study involved a prospective cohort of children aged 12 years or under referred from primary health-care facilities in Mchinji district, Malawi in 2019 and 2020. Peripheral blood oxygen saturation (SpO2) and blood glucose were measured at recruitment and on arrival at a subsequent health-care facility (i.e. four hospitals and 14 primary health-care facilities). Children were followed up 2 weeks after discharge or their last clinical visit. The primary study outcome was the case fatality ratio at 2 weeks. Associations between SpO2 and blood glucose levels and death were evaluated using Cox proportional hazards models and the treatment effect of hospitalization was assessed using propensity score matching. Findings: Of 826 children recruited, 784 (94.9%) completed follow-up. At presentation, hypoxaemia was moderate (SpO2: 90-93%) in 13.1% (108/826) and severe (SpO2: < 90%) in 8.6% (71/826) and hypoglycaemia was moderate (blood glucose: 2.5-4.0 mmol/L) in 9.0% (74/826) and severe (blood glucose: < 2.5 mmol/L) in 2.3% (19/826). The case fatality ratio was 3.7% (29/784) overall but 26.3% (5/19) in severely hypoglycaemic children and 12.7% (9/71) in severely hypoxaemic children. Neither moderate hypoglycaemia nor moderate hypoxaemia was associated with mortality.
Conclusion: Presumptive pre-referral glucose treatment and better management of hypoglycaemia could reduce the high case fatality ratio observed in children with severe hypoglycaemia. The morbidity and mortality burden of severe hypoxaemia was high; ways of improving hypoxaemia identification and management are needed. (c) 2022 The authors; licensee World Health Organization.

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Year:  2022        PMID: 35521039      PMCID: PMC9047421          DOI: 10.2471/BLT.21.287265

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


Introduction

Global initiatives to reduce child mortality have generally focused on improving early access to basic treatment for common illnesses using tools such as the World Health Organization’s (WHO) Integrated Management of Childhood Illness strategy and integrated community case management.– In the absence of gold-standard diagnostic techniques for conditions such as pneumonia, these approaches rely primarily on subjective clinical assessment for syndromic case management. Children with signs of severe illness are referred to hospital for supportive care. However, emergency care is weak in under-resourced health systems, referrals can be difficult for caregivers, there may be delays due to a lack of transportation, and financial barriers are common.– Children may, therefore, arrive at referral hospitals when their illness is at a late stage and treatment may be less effective. In Malawi, 33% (39/118) of deaths reported among children at a tertiary referral hospital in 2017 occurred in the first 24 hours after admission. Hypoxaemia and hypoglycaemia are objective measures associated with paediatric mortality.7–10 Indeed, Integrated Management of Childhood Illness protocols include hypoxaemia, defined as peripheral blood oxygen saturation (SpO2) below 90%, as a referral criterion and the threshold for initiating oxygen treatment. General danger signs (Box 1) are inadequate for identifying hypoxaemia and children may not receive the oxygen they need.12,13 An SpO2 level below 93% has been associated with deaths in children with clinical pneumonia in sub-Saharan Africa but evidence is lacking on the optimal referral threshold.10,14,15 Similarly, Integrated Management of Childhood Illness protocols recognize the risk posed by hypoglycaemia to children and recommend presumptive pre-referral treatment for those with danger signs. Currently, WHO defines hypoglycaemia in a well-nourished child as a blood glucose concentration below 2.5 mmol/L though increased mortality has been reported in children admitted with higher concentrations.8,9,16,17 A recent trial in Malawi found that hypoglycaemia treatment in hospitalized children with a blood glucose concentration between 2.5 and 5.0 mmol/L was not associated with survival.18 More evidence is needed on how best to detect, monitor and treat hypoglycaemia in children. Early detection of moderate hypoxaemia (SpO2 between 90 and 93%) and moderate hypoglycaemia (blood glucose concentration between 2.5 and 4.0 mmol/L) in primary care may help reduce child mortality. The aim of our study was to investigate the survival of children referred from primary health-care facilities in Malawi, with a focus on clinical progression in those who presented with moderate hypoglycaemia or moderate hypoxaemia.

Methods

In this preplanned secondary analysis of a prospective cohort study, we assessed the survival of children referred from primary health-care facilities to hospitals in Mchinji district, Malawi. Mchinji had a population of approximately 600 000 in 2015 to 2016 and a mortality rate in children younger than 5 years of 123 per 1000 live births. In particular, we followed children with severe or moderate hypoxaemia or hypoglycaemia (Box 1) from recruitment to presentation at another facility (Fig. 1). Children were recruited at all 14 functional, government, primary health-care facilities in Mchinji district that provided outpatient paediatric care: two dispensaries, 11 health centres and one rural hospital with no inpatient care. Three rural hospitals and a district hospital acted as referral facilities. The nearest tertiary referral hospital was in the neighbouring district of Lilongwe (no data were collected from this facility). To be eligible for inclusion in the study, referred children had to be aged between 0 months and 12 years and be resident in Mchinji district. Recruitment started on 1 July 2019 and was intended to last 12 months. However, enrolment was terminated early, on 6 April 2020, because of the coronavirus disease 2019 (COVID-19) pandemic. Follow-ups were completed on 13 June 2020.
Fig. 1

Recruitment and follow-up procedures, Malawi, 2019–2020

Study outcome

Death: Death of a child from any cause between study recruitment and 14 days after hospital discharge or their last documented clinical visit, as recorded during hospital admission or in a follow-up interview

Exposure

Hypoxaemia Normoxaemia: SpO2: 94–100% Moderate hypoxaemia:a SpO2: 90–93% Severe hypoxaemia: SpO2: < 90% (values < 50% were considered invalid) Hypoglycaemia Normoglycaemia: Blood glucose concentration > 4.0 mmol/L Moderate hypoglycaemia:a Blood glucose concentration 2.5–4.0 mmol/L in well-nourished and moderately malnourished children and 3.0–4.0 mmol/L in severely malnourished children Severe hypoglycaemia: Blood glucose concentration < 2.5 mmol/L in well-nourished and moderately malnourished children and < 3.0 mmol/L in severely malnourished children

Other

Danger signs Child aged < 2 months:b Any documentation in the child’s health passport or the caregiver’s report of the following signs: (i) inability to drink or feed; (ii) convulsions; (iii) movement only when stimulated or no movement at all; (iv) fast breathing (i.e. ≥  60 breaths per minute); (v) severe chest indrawing; and (vi) axillary temperature < 35.5 °C or ≥ 37.5 °C Child aged 2 months to 12 years:c Any documentation in the child’s health passport or the caregiver’s report of the following signs: (i) vomiting everything; (ii) inability to drink or feed; (iii) convulsions; (iv) sleepy or lethargic; and (v) unconscious Severely underweight: Weight-for-age z-score ≤ 3.0 or a recorded clinician diagnosis of severe malnutrition Hospital admission: Admission to the district hospital or one of the three rural hospitals in Mchinji district within 2 weeks of study recruitment, as documented by a study data collector at the hospital SpO2: peripheral blood oxygen saturation. a Definitions of moderate hypoxaemia and hypoglycaemia were chosen for this study and are not standard definitions. b We did not extract information on movement as a danger sign and severe chest indrawing was not disaggregated from chest indrawing. c As 5–12 year olds are not included in Integrated Management of Childhood Illness protocols, we used the same danger signs as 2–59-month-olds. Recruitment and follow-up procedures, Malawi, 2019–2020 SpO2: peripheral blood oxygen saturation. Notes: Some children referred to hospital from a primary health-care facility did not attend hospital because caregivers did not always follow the referral pathway. Data collectors at primary health-care facilities monitored whether children received onward care at a second primary health-care facility instead.

Data collection

We employed 20 non-clinical data collectors resident in Mchinji district. They underwent one week’s residential training in study procedures and blood glucose and SpO2 measurement. At the end of the training, data collectors were individually assessed on their interpretation of different clinical scenarios to verify their understanding of good-quality SpO2 and blood glucose measurements. Clinical staff at all study facilities attended a 2-day refresher training course provided by the district health management team that covered Integrated Management of Childhood Illness protocols. Attendees’ knowledge before and after training was not formally assessed. Study participants were recruited during standard operating hours (i.e. 08:00 to 15:00, Monday to Friday) from the primary health-care facilities; emergency cases seen outside these times may have been missed. Children were assessed routinely by facility staff who alerted data collectors when a child was referred to another facility (Fig. 1). After obtaining informed consent from caregivers, data collectors measured SpO2 with a Lifebox pulse oximeter (Lifebox Foundation, London, England) using the big toe (or finger in children older than 2 years). Then the blood glucose concentration was measured in a capillary sample using Accu-Chek Aviva (Roche, Basel, Switzerland). If severe hypoglycaemia or hypoxaemia was detected, the health-care provider was alerted. Other clinical data were extracted from the child’s health passport or the caregiver’s report and contact details, sociodemographic information and details of care-seeking and treatment were obtained using a brief questionnaire. Enrolment was kept brief and study staff were instructed not to interfere with caregiver decision-making. A unique study barcode sticker was placed inside each recruited child’s health passport. Outpatients and inpatients at the four referral hospitals and the 14 primary health-care facilities were screened daily by data collectors to document the onward care of recruited children. Both SpO2 and blood glucose were measured again by study staff at these locations when a recruited child was identified (Fig. 1). Children were followed up by phone or household visit 2 weeks after hospital discharge or their last confirmed outpatient visit to confirm survival and obtain details of any additional formal or informal care-seeking. A new illness episode was registered if a child presented after the 2-week follow-up period had been completed and, therefore, it was possible for an individual child to be recruited more than once. Verbal autopsies were conducted for children who died using WHO’s 2016 verbal autopsy instrument. However, because of COVID-19, verbal autopsies were completed for only eight of the 29 children who died. Data were entered and uploaded daily onto tablet computers using CommCare software (Dimagi Inc., Cambridge, United States of America) and the full list of currently recruited children was visible to all data collectors. Data collectors were supervised by the project manager (a clinical officer), the data manager, and study monitoring and evaluation staff. Problems with implementation were dealt with during frequent supervision visits and monthly group meetings. Ethical approval was obtained from the Research and Ethics Committee at the University of Malawi’s College of Medicine (P.11/18/2538). Caregivers provided informed verbal consent at recruitment and each subsequent interaction.

Statistical analysis

We recorded hypoxaemia and hypoglycaemia severity at recruitment and compared changes between recruitment and subsequent clinical visits using paired t-tests for means and Wilcoxon signed-rank tests for medians. The primary study outcome was the case fatality ratio and the primary exposures of interest were the SpO2 level and the blood glucose concentration at recruitment (Box 1). The case fatality ratio was calculated as the number of deaths occurring between recruitment (day 0) and 14 days after hospital discharge or the last confirmed clinical visit divided by the number of children who completed follow-up. Associations with the case fatality ratio were estimated using multivariable Cox proportional hazards models, adjusted for recruitment facility clusters. The survival time was censored at death or 2 weeks after hospital discharge or the last confirmed clinical visit. For children who died on the day of recruitment, the survival time was taken to be 0.5 days. Missing SpO2 values at recruitment were included as a distinct category because of previous evidence of an association with mortality. We adopted the same approach for missing glucose values. Models were adjusted for the presence of general danger signs (Box 1), severe underweight, age, sex and hospital admission. We were unable to adjust for oxygen or dextrose treatment using multivariable adjustment, interaction terms, stratification or propensity score matching because of confounding by indication (i.e. the most severely ill children were more likely to receive oxygen but were less likely to survive)., However, we conducted exploratory analyses using hospital admission as a proxy for treatment: we performed a stratified analysis by hospital admission and estimated the treatment effect of admission using propensity score matching. All analyses were performed using Stata v. 14 (StataCorp LLC, College Station, USA).

Results

In total, 834 episodes of child illness were screened and 826 children were recruited, of whom 784 (94.9%) completed follow-up (Fig. 2 and Table 1; available from: https://www.who.int/publications/journals/bulletin/). Most follow-ups involved household visits (71.9%; 564/784) and caregivers were contacted on average 1.7 times (range: 1–12). The median follow-up time was 14 days (range: 0–77). The children’s median age was 36 months (interquartile range, IQR: 16–73) and more boys were recruited than girls: 52.9% (437/826) versus 47.1% (389/826), respectively.
Fig. 2

Participant selection and follow-up, Malawi, 2019–2020

Table 1

Children’s characteristics at recruitment, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

VariableNo. (%) of childrena
Recruited(n = 826)Completed follow-up(n = 784)Lost to follow-up (n = 42)
Demographic
Age
  < 2 months38 (4.6)38 (4.9)0 (0.0)
  2–11 months105 (12.7)98 (12.5)7 (16.7)
  12–59 months413 (50.0)390 (49.7)23 (54.8)
  5–12 years270 (32.7)258 (32.9)12 (28.6)
Sex
  Male437 (52.9)419 (53.4)18 (42.9)
  Female389 (47.1)365 (46.6)24 (57.1)
Socioeconomic
Mother’s age in years, mean (SD)28.9 (7.8)28.9 (7.7)28.9 (8.9)
Maternal education
  None79 (9.6)73 (9.3)6 (14.3)
  Primary659 (79.8)624 (79.6)35 (83.3)
  Secondary or further85 (10.3)85 (10.8)0 (0.0)
  Missing data3 (0.4)2 (0.3)1 (2.4)
Maternal marital status
  Married703 (85.1)664 (84.7)39 (92.9)
  Not married122 (14.8)119 (15.2)3 (7.1)
  Missing data1 (0.1)1 (0.1)0 (0.0)
Clinical
SpO2
  Mean value (SD), %94.9 (5.9)94.9 (5.9)94.4 (6.5)
  Normoxaemiab637 (77.1)605 (77.2)32 (76.2)
  Moderate hypoxaemiab108 (13.1)104 (13.3)4 (9.5)
  Severe hypoxaemiab71 (8.6)65 (8.3)6 (14.3)
  Missing datac10 (1.2)10 (1.3)0 (0.0)
Blood glucose
  Mean concentration (SD), mmol/L5.8 (2.0)5.8 (2.0)5.8 (2.4)
  Normoglycaemiab725 (87.8)687 (87.6)38 (90.5)
  Moderate hypoglycaemiab74 (9.0)71 (9.1)3 (7.1)
  Severe hypoglycaemiab19 (2.3)18 (2.3)1 (2.4)
  Missing datad8 (1.0)8 (1.0)0 (0.0)
Routine diagnosise,f
  Acute respiratory infection or pneumonia111 (13.6)105 (13.5)6 (14.6)
  Malaria313 (38.3)301 (38.7)12 (29.3)
  Sepsis or meningitis92 (11.3)86 (11.1)6 (14.6)
  Diarrhoea18 (2.2)18 (2.3)0 (0.0)
  Fever (unclassified)39 (4.8)38 (4.9)1 (2.4)
  Skin condition39 (4.8)37 (4.8)2 (4.9)
  Malnutrition36 (4.4)34 (4.4)2 (4.9)
  Anaemia55 (6.7)53 (6.8)2 (4.9)
  Trauma201 (24.6)193 (24.8)8 (19.5)
  Other infectious condition13 (1.6)12 (1.5)1 (2.4)
  Other non-infectious condition109 (13.3)101 (13.0)8 (19.5)

SD: standard deviation; SpO2: peripheral blood oxygen saturation.

a All values in the table represent absolute numbers and percentages unless otherwise stated.

b Definitions of normoxaemia, hypoxaemia, normoglycaemia and hypoglycaemia are given in Box 1.

c Reasons for missing data were: (i) six children too agitated (6); (ii) three children unconscious and receiving care; and (iii) a biologically plausible value could not be obtained for one child.

d Reasons for missing data were: (i) no test strips available (one child); (ii) no lancet available (two children); (iii) glucometer not working (four children); and (iv) transport for referral was found before the test could be completed (one child).

e Diagnosis made by the health-care provider at recruitment.

f Children could receive more than one diagnosis.

Participant selection and follow-up, Malawi, 2019–2020 Notes: Survival was determined 14 days after hospital discharge or the last clinical visit. An additional three children died after the 14-day follow-up period. SD: standard deviation; SpO2: peripheral blood oxygen saturation. a All values in the table represent absolute numbers and percentages unless otherwise stated. b Definitions of normoxaemia, hypoxaemia, normoglycaemia and hypoglycaemia are given in Box 1. c Reasons for missing data were: (i) six children too agitated (6); (ii) three children unconscious and receiving care; and (iii) a biologically plausible value could not be obtained for one child. d Reasons for missing data were: (i) no test strips available (one child); (ii) no lancet available (two children); (iii) glucometer not working (four children); and (iv) transport for referral was found before the test could be completed (one child). e Diagnosis made by the health-care provider at recruitment. f Children could receive more than one diagnosis. We recorded 29 deaths within 2 weeks of hospital discharge or the last confirmed clinical visit, which gave a case fatality ratio of 3.7% (29/784). We recruited 13 children more than once, of whom two died (15.4%). The case fatality ratio was highest in infants younger than 2 months (15.8%; 6/38) and lowest in children aged 5 to 12 years (2.3%; 6/258; P-value: < 0.001). No significant difference in case fatality ratio was observed by sex (P-value: 0.850). The median time from recruitment to death was 1 day (IQR: 0–4) and 44.8% (13/29) of deaths occurred within 24 hours. Seven of the 13 children who died on the day of recruitment were not admitted (available in data repository). Following recruitment, 37.1% (306/826) of children were admitted to hospital and 41.7% (344/826) attended another facility.

Hypoxaemia

Overall, 8.6% (71/826) of children were severely hypoxaemic at recruitment and 13.1% (108/826) were moderately hypoxaemic (Table 1). Severe hypoxaemia was significantly more frequent in children younger than 2 months (28.9%; 11/38) than in those aged 5 to 12 years (4.1%; 11/270; P-value: < 0.001). The case fatality ratio among children who completed follow-up was 13.9% (9/65) in those with severe hypoxaemia, 3.9% (4/104) in those with moderate hypoxaemia and 2.3% (14/605) in those with normoxaemia. Among all severely hypoxaemic children (Table 2), the most frequent diagnoses were acute respiratory infection (45.1%; 32/71) and malaria (39.4%; 28/71). Only 24.0% (17/71) of hypoxaemic children had a documented respiratory rate but chest indrawing was common: 42.3% (30/71) of severely hypoxaemic children and 33.3% (36/108) of moderately hypoxaemic children had this clinical sign.
Table 2

Children’s characteristics at recruitment, by blood oxygen level, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

VariableNo. (%) of children
Normoxaemica (n = 637)Moderately hypoxaemica (n = 108)Severely hypoxaemica (n = 71)Missing data (n = 10)
Demographic characteristic
Age
  < 2 months18 (2.8)7 (6.5)11 (15.5)2 (20.0)
  2–11 months60 (9.4)22 (20.4)20 (28.2)3 (30.0)
  12–59 months310 (48.7)69 (63.9)29 (40.9)5 (50.0)
  5–12 years249 (39.1)10 (9.3)11 (15.5)0 (0.0)
Sex
  Male339 (53.2)57 (52.8)37 (52.1)4 (40.0)
  Female298 (46.8)51 (47.2)34 (47.9)6 (60.0)
Clinical characteristic
Fast breathingb
  Not present76 (11.9)18 (16.7)6 (8.5)2 (20.0)
  Present51 (8.0)8 (7.4)11 (15.5)0 (0.0)
  Missing data510 (80.1)82 (75.9)54 (76.1)8 (80.0)
Temperature, °C
  < 35.527 (4.2)1 (0.9)2 (2.8)1 (10.0)
  35.5–37.4317 (49.8)45 (41.7)27 (38.0)5 (50.0)
  ≥ 37.5202 (31.7)55 (50.9)35 (49.3)4 (40.0)
  Missing data91 (14.3)7 (6.5)7 (9.9)0 (0.0)
Malaria status
  mRDT-positive205 (32.2)37 (34.3)28 (39.4)2 (20.0)
  mRDT-negative60 (9.4)17 (15.7)14 (19.7)2 (20.0)
  No mRDT result372 (58.4)54 (50.0)29 (40.9)6 (60.0)
Chest indrawingc
  Not present576 (90.4)72 (66.7)40 (56.3)8 (80.0)
  Present60 (9.4)36 (33.3)30 (42.3)2 (20.0)
  Missing data1 (0.2)0 (0.0)1 (1.4)0 (0)
Danger signsd
  Not present325 (51.0)22 (20.4)11 (15.5)4 (40.0)
  Present312 (49.0)86 (79.6)60 (84.5)6 (60.0)
Severely underweight
  No546 (85.7)88 (81.5)60 (84.5)8 (80.0)
  Yes91 (14.3)20 (18.5)11 (15.5)2 (20.0)
Routine diagnosise,f
  Acute respiratory infection or pneumonia45 (7.1)31 (28.7)32 (45.1)3 (30.0)
  Malaria229 (36.0)53 (49.1)28 (39.4)3 (30.0)
  Sepsis or meningitis63 (9.9)17 (15.7)12 (16.9)0 (0.0)
  Diarrhoea14 (2.2)3 (2.8)1 (1.4)0 (0.0)
  Fever (unclassified)22 (3.5)11 (10.2)6 (8.5)0 (0.0)
  Skin condition33 (5.2)5 (4.6)0 (0.0)1 (10.0)
  Malnutrition28 (4.4)6 (5.6)2 (2.8)0 (0.0)
  Anaemia40 (6.3)8 (7.4)7 (9.9)0 (0.0)
  Trauma190 (29.8)6 (5.6)4 (5.6)1 (10.0)
  Other infectious condition12 (1.9)1 (0.9)0 (0.0)0 (0.0)
  Other non-infectious condition89 (14.0)6 (5.6)12 (16.9)2 (20.0)

mRDT: malaria rapid diagnostic test.

a Definitions of normoxaemia and hypoxaemia are given in Box 1.

b Fast breathing was a rate ≥ 60 breaths/min in children aged < 2 months, ≥ 50 breaths/min in those aged 2–11 months, ≥ 40 breaths/min in those aged 12–59 months (World Health Organization Integrated Management of Childhood Illness 2014 guidelines) and ≥ 30 breaths/min in those aged 5–12 years (World Health Organization Integrated Management of Adolescent and Adult Illness 2012 guidelines).

c Severe chest indrawing in children aged < 2 months.

d Danger signs are described in Box 1.

e Diagnosis made by the health-care provider at recruitment.

f Children could receive more than one diagnosis.

mRDT: malaria rapid diagnostic test. a Definitions of normoxaemia and hypoxaemia are given in Box 1. b Fast breathing was a rate ≥ 60 breaths/min in children aged < 2 months, ≥ 50 breaths/min in those aged 2–11 months, ≥ 40 breaths/min in those aged 12–59 months (World Health Organization Integrated Management of Childhood Illness 2014 guidelines) and ≥ 30 breaths/min in those aged 5–12 years (World Health Organization Integrated Management of Adolescent and Adult Illness 2012 guidelines). c Severe chest indrawing in children aged < 2 months. d Danger signs are described in Box 1. e Diagnosis made by the health-care provider at recruitment. f Children could receive more than one diagnosis. After recruitment, 63.4% (45/71) of severely hypoxaemic children, 50.9% (55/108) of moderately hypoxaemic children and 37.5% (239/637) of normoxaemic children attended another facility (Table 3; available from: https://www.who.int/publications/journals/bulletin/). The median SpO2 increased after recruitment in both those with severe hypoxaemia (from 84% to 92%; P-value: < 0.001) and moderate hypoxaemia (from 92% to 95%; P-value: 0.006).
Table 3

Care-seeking and clinical progression after recruitment, by blood oxygen level, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

GroupNo. in groupChildren who received further care,a no. (%)Hours to receipt of further care,b median (IQR)SpO2, %
Median (IQR)
P c
At study recruitmentAt subsequent facility
All children826344 (41.7)5.0 (2.9–8.0)97 (94–98)97 (95–98)0.060
Normoxaemic childrend637239 (37.5)5.2 (3.3–11.3)98 (96–98)97 (95–98)0.121
Moderately hypoxaemic childrend10855 (50.9)4.2 (3.2–7.0)92 (91–93)95 (90–97)0.006
Severely hypoxaemic childrend7145 (63.4)3.3 (2.0–5.4)84 (75–87)92 (87–96)< 0.001
Children with missing data105 (50.0)17.6 (7.1–28.3)ND96 (95–96)NA

IQR: interquartile range; NA: not applicable; ND: not determined; SpO2: peripheral blood oxygen saturation.

a Further care included both hospital admission (306 children) and outpatient care at a hospital or health-care facility (38 children).

b The time from recruitment to presentation at the first subsequent facility.

c Medians were compared using the Wilcoxon signed-rank test.

d Definitions of normoxaemia and hypoxaemia are given in Box 1.

IQR: interquartile range; NA: not applicable; ND: not determined; SpO2: peripheral blood oxygen saturation. a Further care included both hospital admission (306 children) and outpatient care at a hospital or health-care facility (38 children). b The time from recruitment to presentation at the first subsequent facility. c Medians were compared using the Wilcoxon signed-rank test. d Definitions of normoxaemia and hypoxaemia are given in Box 1. Of the 292 children who were admitted to hospital and completed follow-up, 34 (11.6%) were severely hypoxaemic on arrival (Fig. 3); 28 of the 34 (82.4%) received oxygen. Of the 49 children with moderate hypoxaemia who were admitted, 12 (24.5%) had progressed to severe hypoxaemia and one of the 12 died (case fatality ratio: 8.3%) – this child did not receive oxygen. Of the 42 children with severe hypoxaemia at recruitment who were admitted, 15 (35.7%) remained severely hypoxaemic on arrival at hospital and five of the 15 died (case fatality ratio: 33.3%). The case fatality ratio for children with an SpO2 below 90% at hospital admission was 20.6% (7/34), which was similar to the ratio for severely hypoxaemic children who were not admitted (17.4%; 4/23).
Fig. 3

Case fatality ratio and oxygen treatment, by blood oxygen level at recruitment and hospital admission, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

Case fatality ratio and oxygen treatment, by blood oxygen level at recruitment and hospital admission, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020 Note: Definitions of hypoxaemia and normoxaemia are given in Box 1.

Hypoglycaemia

Overall, 2.3% (19/826) of children were severely hypoglycaemic at recruitment and 9.0% (74/826) were moderately hypoglycaemic (Table 1). The case fatality ratio among children who completed follow-up was 27.8% (5/18) in those with severe hypoglycaemia, 5.6% (4/71) in those with moderate hypoglycaemia and 2.9% (20/687) in those with normoglycaemia. Of the 19 severely hypoglycaemic children overall (Table 4), 15 (79.0%) presented with a danger sign and the most frequent diagnoses were malaria (52.6%; 10/19), malnutrition (31.6%; 6/19) and sepsis or meningitis (21.1%; 4/19). Severe hypoglycaemia was more frequent in girls than boys: 3.1% (12/389) versus 1.6% (7/437), respectively (P-value: 0.160).
Table 4

Children’s characteristics at recruitment, by blood glucose concentration, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

VariableNo. (%) of children
Normoglycaemica (n = 725)Moderately hypoglycaemica (n = 74)Severely hypoglycaemica (n = 19)Missing data (n = 8)
Demographic characteristic
Age
  < 2 months32 (4.4)4 (5.4)1 (5.3)1 (12.5)
  2–11 months96 (13.2)4 (5.4)3 (15.8)2 (25.0)
  12–59 months358 (49.4)38 (51.4)13 (68.4)4 (50.0)
  5–12 years239 (33.0)28 (37.8)2 (10.5)1 (12.5)
Sex
  Male387 (53.4)36 (48.7)7 (36.8)7 (87.5)
  Female338 (46.6)38 (51.4)12 (63.2)1 (12.5)
Clinical characteristic
Fast breathingb
  Not present93 (12.8)5 (6.8)4 (21.1)0 (0.0)
  Present57 (7.9)11 (14.9)2 (10.5)0 (0.0)
  Missing data575 (79.3)58 (78.4)13 (68.4)8 (100.0)
Temperature, °C
  < 35.526 (3.6)2 (2.7)2 (10.5)1 (12.5)
  35.5–37.4340 (46.9)40 (54.1)11 (57.9)3 (37.5)
  ≥ 37.5266 (36.7)23 (31.1)5 (26.3)2 (25.0)
  Missing data93 (12.8)9 (12.2)1 (5.3)2 (25.0)
Malaria status
  mRDT-positive244 (33.7)21 (28.4)5 (26.3)2 (25.0)
  mRDT-negative79 (10.9)9 (12.2)4 (21.1)1 (12.5)
  No mRDT result402 (55.5)44 (59.5)10 (52.6)5 (62.5)
Chest indrawingc
  Not present613 (84.6)61 (82.4)15 (79.0)7 (87.5)
  Present112 (15.5)12 (16.2)3 (15.8)1 (12.5)
  Missing data0 (0.0)1 (1.4)1 (5.3)0 (0.0)
Danger signsd
  Not present323 (44.5)32 (43.2)4 (21.0)3 (37.5)
  Present402 (55.5)42 (56.8)15 (79.0)5 (62.5)
Severely underweight
  No636 (87.7)51 (68.9)9 (47.4)6 (75.0)
  Yes89 (12.3)23 (31.1)10 (52.6)2 (25.0)
Routine diagnosise,f
  Acute respiratory infection or pneumonia100 (13.8)6 (8.1)3 (15.8)2 (25.0)
  Malaria274 (37.8)27 (36.5)10 (52.6)2 (25.0)
  Sepsis or meningitis74 (10.2)13 (17.6)4 (21.1)1 (12.5)
  Diarrhoea15 (2.1)1 (1.4)1 (5.3)1 (12.5)
  Fever (unclassified)32 (4.4)6 (8.1)0 (0.0)1 (12.5)
  Skin condition38 (5.2)1 (1.4)0 (0.0)0 (0.0)
  Malnutrition21 (2.9)9 (12.2)6 (31.6)0 (0.0)
  Anaemia44 (6.1)8 (10.8)2 (10.5)1 (12.5)
  Trauma189 (26.1)11 (14.9)0 (0.0)1 (12.5)
  Other infectious condition11 (1.5)2 (2.7)0 (0.0)0 (0.0)
  Other non-infectious condition91 (12.6)13 (17.6)3 (15.8)2 (25.0)

mRDT: malaria rapid diagnostic test.

a Definitions of normoglycaemia and hypoglycaemia are given in Box 1.

b Fast breathing was a rate ≥ 60 breaths/min in children aged < 2 months, ≥ 50 breaths/min in those aged 2–11 months, ≥ 40 breaths/min in those aged 12–59 months (World Health Organization Integrated Management of Childhood Illness 2014 guidelines) and ≥ 30 breaths/min in those aged 5–12 years (World Health Organization Integrated Management of Adolescent and Adult Illness 2012 guidelines).

c Severe chest indrawing in children aged < 2 months.

d Danger signs are described in Box 1.

e Diagnosis made by the health-care provider at recruitment.

f Children could receive more than one diagnosis.

mRDT: malaria rapid diagnostic test. a Definitions of normoglycaemia and hypoglycaemia are given in Box 1. b Fast breathing was a rate ≥ 60 breaths/min in children aged < 2 months, ≥ 50 breaths/min in those aged 2–11 months, ≥ 40 breaths/min in those aged 12–59 months (World Health Organization Integrated Management of Childhood Illness 2014 guidelines) and ≥ 30 breaths/min in those aged 5–12 years (World Health Organization Integrated Management of Adolescent and Adult Illness 2012 guidelines). c Severe chest indrawing in children aged < 2 months. d Danger signs are described in Box 1. e Diagnosis made by the health-care provider at recruitment. f Children could receive more than one diagnosis. Presentation at another facility after recruitment (Table 5; available from: https://www.who.int/publications/journals/bulletin/) was more frequent for children with severe hypoglycaemia (57.9%; 11/19) than for those with moderate hypoglycaemia (40.5%; 30/74) or normoglycaemia (41.2%; 299/725). Although there was no difference in the mean blood glucose concentration between recruitment and arrival at another facility overall, the mean was significantly higher on subsequent measurement for both severely and moderately hypoglycaemic children (Table 5). No severely or moderately hypoglycaemic child was given pre-referral glucose treatment at recruitment.
Table 5

Care-seeking and clinical progression after recruitment, by blood glucose concentration, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

GroupNo. in groupChildren who received further care,a no. (%)Hours to receipt of further care,b median (IQR)Blood glucose concentration, mmol/L
Mean (95% CI)
P c
At study recruitmentAt subsequent facility
All children826344 (41.7)5.0 (2.9–8.0)5.92 (5.70 to 6.14)5.86 (5.66 to 6.06)0.603
Normoglycaemic childrend725299 (41.2)5.0 (3.1–7.9)6.31 (6.10 to 6.52)6.03 (5.82 to 6.24)0.018
Moderately hypoglycaemic childrend7430 (40.5)4.3 (3.2–25.7)3.48 (3.33 to 3.61)4.75 (4.18 to 5.32)< 0.001
Severely hypoglycaemic childrend1911 (57.9)3.9 (2.3–7.1)2.39 (2.15 to 2.63)4.48 (3.35 to 5.62)0.001
Children with missing data84 (50.0)3.8 (2.9–6.6)ND7.17 (4.06 to 10.27)NA

CI: confidence interval; IQR: interquartile range; NA: not applicable; ND: not determined.

a Further care included both hospital admission (306 children) and outpatient care at a hospital or health-care facility (38 children).

b The time from recruitment to presentation at the first subsequent facility.

c Means were compared using a t-test.

d Definitions of normoglycaemia and hypoglycaemia are given in Box 1.

CI: confidence interval; IQR: interquartile range; NA: not applicable; ND: not determined. a Further care included both hospital admission (306 children) and outpatient care at a hospital or health-care facility (38 children). b The time from recruitment to presentation at the first subsequent facility. c Means were compared using a t-test. d Definitions of normoglycaemia and hypoglycaemia are given in Box 1. Of the 292 children admitted to hospital, six (2.1%) had severe hypoglycaemia at admission; four of the six (66.7%) received dextrose treatment (Fig. 4). Of the 26 children with moderate hypoglycaemia at recruitment who were subsequently admitted, two (7.7%) had severe hypoglycaemia at admission and 13 (50.0%) had a normal glucose level. The case fatality ratio was similar among children who had moderate or severe hypoglycaemia at admission: 17.7% (3/17) versus 16.7% (1/6), respectively. However, the ratio was 42.9% (3/7) among severely hypoglycaemic children who were not admitted.
Fig. 4

Case fatality ratio and dextrose treatment, by blood glucose concentration at recruitment and hospital admission, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

Case fatality ratio and dextrose treatment, by blood glucose concentration at recruitment and hospital admission, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020 Note: Definitions of hypoglycaemia and normoglycaemia are given in Box 1.

Survival and treatment effects

The results of the adjusted Cox proportional hazards model for survival are presented in Table 6. Both severe hypoxaemia (adjusted hazard ratio, aHR, compared with normoxaemia: 4.05; 95% confidence interval, CI: 1.65 to 9.94) and severe hypoglycaemia (aHR compared with normoglycaemia: 7.60; 95% CI: 2.07 to 27.92) at recruitment were independently associated with death. There was no significant association with either moderate hypoxaemia or moderate hypoglycaemia.
Table 6

Factors associated with death, adjusted Cox proportional hazards model, prospective cohort study of survival in children with hypoxaemia and/or hypoglycaemia on referral, Malawi, 2019–2020

FactorHazard of deatha,b
aHR (95% CI)c P
Blood oxygen level
NormoxaemiadReferenceNA
Moderate hypoxaemiad1.27 (0.40 to 3.97)0.648
Severe hypoxaemiad4.05 (1.65 to 9.94)0.002
Missing data1.84 (0.24 to 14.08)0.559
Blood glucose concentration
NormoglycaemiadReferenceNA
Moderate hypoglycaemiad2.04 (0.54 to 7.64)0.291
Severe hypoglycaemiad7.60 (2.07 to 27.92)0.002
Missing dataeNDND
Danger signsf
NoReferenceNA
Yes2.51 (0.84 to 7.50)0.098
Severely underweight
NoReferenceNA
Yes1.45 (0.67 to 3.18)0.347
Hospital admission
NoReferenceNA
Yes1.20 (0.53 to 2.73)0.659
Sex
MaleReferenceNA
Female1.19 (0.50 to 2.84)0.700
Age
5–12 yearsReferenceNA
12–59 months0.72 (0.22 to 2.32)0.579
2–11 months1.07 (0.28 to 4.05)0.924
< 2 months2.98 (0.68 to 13.12)0.149

aHR: adjusted hazard ratio; CI: confidence interval; NA: not applicable; ND: not determined.

a The analysis included data on 776 children.

b The hazard of death between study recruitment and 14 days after hospital discharge or the last clinical visit.

c The proportional hazards assumption was tested using Schoenfeld residuals and was found not to be violated (P-value: 0.201).

d Definitions of normoxaemia, hypoxaemia, normoglycaemia and hypoglycaemia are given in Box 1.

e As all eight children with missing data survived, they were dropped from the model because of perfect prediction.

f Danger signs are described in Box 1.

aHR: adjusted hazard ratio; CI: confidence interval; NA: not applicable; ND: not determined. a The analysis included data on 776 children. b The hazard of death between study recruitment and 14 days after hospital discharge or the last clinical visit. c The proportional hazards assumption was tested using Schoenfeld residuals and was found not to be violated (P-value: 0.201). d Definitions of normoxaemia, hypoxaemia, normoglycaemia and hypoglycaemia are given in Box 1. e As all eight children with missing data survived, they were dropped from the model because of perfect prediction. f Danger signs are described in Box 1. In the analysis in which children were stratified by hospital admission, admission appeared to decrease the hazard of death for both those with severe hypoxaemia and those with severe hypoglycaemia. Among children with severe hypoxaemia, the aHR for death compared with normoxaemia was 9.14 in those who were not admitted versus 2.34 in those who were. Among children with severe hypoglycaemia, the aHR for death compared with normoglycaemia was 15.74 in those who were not admitted versus 4.12 in those who were. However, the CIs for these hazard ratios were wide (available in the data repository). Overall, the treatment effect of hospital admission was estimated to be a 1.39% (95% CI: −6.81 to 4.02) reduction in the case fatality ratio among those admitted (data repository). The estimated effect was larger for children with moderate or severe hypoxaemia but was not significant.

Discussion

We found that severe hypoxaemia and severe hypoglycaemia were significantly associated with death among children referred from primary health-care facilities to hospitals in Malawi. Although neither moderate hypoxaemia nor moderate hypoglycaemia was significantly associated with increased mortality, our exploratory analyses suggested that hospital admission may decrease the risk. Only 37% (292/784) of children in the study were admitted to hospital and, overall, more than 95% of those with moderate hypoxaemia or hypoglycaemia who were not admitted survived, irrespective of the presence of danger signs. However, over a quarter of referred children with severe hypoglycaemia died and these deaths predominantly occurred within 24 hours, which suggests that the severity of the disease may have been recognized late and care-seeking may have been delayed, as has been observed in previous studies in Malawi., The Integrated Management of Childhood Illness protocol recommends presumptive hypoglycaemia treatment before referral. In 2019, the majority of facilities in Mchinji had a glucometer and a stock of dextrose. Although it would be unreasonable to expect that blood glucose measurements would be carried out routinely at our study facilities as they are not included in the protocol, the fact that no hypoglycaemic child reportedly received presumptive glucose treatment points to a gap in the protocol’s implementation. Nevertheless, we observed an increase in the mean glucose concentration after recruitment in both moderately and severely hypoglycaemic children, which suggests that health-care providers may have given caregivers advice on feeding. Alternatively, many of the most acutely hypoglycaemic children may have died before hospital admission. Our findings support the use of presumptive glucose treatment. However, greater efforts must be made to ensure this happens, along with subsequent glucose monitoring and management. In the Integrated Management of Childhood Illness algorithm for respiratory infections, an SpO2 below 90% is an indication for referral. In agreement with previous reports, we found that hypoxaemia was relatively common, even in the absence of pneumonia. Although functional oximeters were reportedly available in 29.8% (14/47) of sampled facilities in Malawi, health-care workers often made referral decisions without using pulse oximetry. We found that 28.9% of infants younger than 2 months were severely hypoxaemic, similar to the 22.6% (53/235) reported in a previous study from Malawi. The quality of oximetry measurements in these infants can be poor due to badly fitting probes, non-cooperation or perfusion issues. However, reported diagnoses were consistent with conditions where hypoxaemia was expected (e.g. congenital heart disease, asphyxia, apnoea, pneumonia and sepsis). Given the role of pulse oximetry in detecting congenital heart disease in neonates, which is often asymptomatic, neonatal SpO2 measurements must be feasible and reliable. More broadly, we observed that respiratory rates were rarely documented, which corresponds with previous findings that respiratory examinations are often poorly conducted in Malawi.– There is, therefore, a need to improve pneumonia diagnosis and management. We found that both moderate hypoxaemia and moderate hypoglycaemia at recruitment were associated with a non-significant increase in the hazard of death among children, which contradicts previous hospital-based studies.,,, Moreover, our exploratory analysis, though it lacked statistical power, suggested that hospitalization may have reduced mortality in these patient groups. Strikingly, 11 of the 12 children with moderate hypoxaemia who progressed to severe hypoxaemia by hospital admission survived – the child who died did not receive oxygen. In contrast, a third of children admitted with persistently severe hypoxaemia died, even though most received oxygen. These findings suggest that earlier identification and prompt care-seeking could reduce mortality. However, given confounding by indication (i.e. the most severely ill children are more likely to receive oxygen but also to die) and potential survivorship bias (i.e. children have to survive long enough to reach hospital), well-designed trials are needed to provide evidence for guideline reviews. The influence of dextrose treatment on survival was less clear. Although moderate hypoglycaemia at recruitment was not a significant risk factor for death, the case fatality ratio in children with moderate hypoglycaemia at hospital admission was 17.7%, higher than for any other admission hypoglycaemia category. The recent SugarFACT trial in Malawi failed to show that treatment improved survival in children with hypoglycaemia, which reinforces the need for better understanding of the management of these patients. Our observation that blood glucose and SpO2 categories changed between recruitment and hospitalization in most children raises the important question of whether serial measurements are preferable to one-off spot checks for case management and for identifying the need for urgent care and outpatient monitoring. Although few infants younger than 2 months were recruited, they had the highest case fatality ratio of all age groups. We were surprised to find that 32.7% (270/826) of children recruited were aged 5 to 12 years and that their case fatality ratio was comparable to that of children aged 12 to 59 months: 2.3% (6/258) versus 3.1% (12/390), respectively. This older age group is overlooked, being neither explicitly included in an Integrated Management of Childhood Illness chart booklet nor targeted by sustainable development goals. Moreover, measurement of SpO2 and blood glucose levels do not appear to be informative for this age group and more research is warranted. Our study had three key limitations. First, because of the COVID-19 pandemic, we stopped recruitment before the planned closure date and verbal autopsies were not completed for all deaths. During follow-ups and verbal autopsies, we asked about care-seeking to validate data collection at facilities. Given that the response rate varied by survival status, we chose not to use these data and it is possible, therefore, that we were not able to confirm all instances of onward care. To minimize the possibility that children admitted out of hours were missed, hospital-based data collectors reviewed patient charts each morning. Nevertheless, children who presented to primary-care facilities out of hours would have been missed, resulting in lower recruitment and the under-ascertainment of onward care. Second, we used non-clinical data collectors and it is plausible that some of the variation in hypoxaemia category between recruitment and subsequent care resulted from measurement quality issues as oximetry in young infants requires skill. Finally, we relied on routine clinical assessment and decision-making by health-care workers for deciding on study eligibility and it is possible that some hypoxaemic children who should have been referred were missed. We were unable to validate key clinical variables and problems with routine data quality were apparent (e.g. the absence of respiratory rate data) despite Integrated Management of Childhood Illness refresher training. Mortality among children with severe hypoxaemia or hypoglycaemia who were referred from primary care in Malawi was high. For hypoglycaemia, our findings support current recommendations for presumptive glucose treatment but further research is needed to determine the optimal threshold for treatment and the best management for this group. For hypoxaemia, timely care-seeking, routine pulse oximetry, and earlier identification and referral of severely hypoxaemic children could reduce the risk of death. However, given that most referred children in our study were not subsequently admitted to hospital but survived, greater understanding of how best to manage moderately hypoxaemic children is needed. Optimal management must take into account the burden placed by referral on the health system and on patients as well as the clinical benefits of treatment.
  29 in total

1.  Abnormal blood glucose concentrations on admission to a rural Kenyan district hospital: prevalence and outcome.

Authors:  F H A Osier; J A Berkley; A Ross; F Sanderson; S Mohammed; C R J C Newton
Journal:  Arch Dis Child       Date:  2003-07       Impact factor: 3.791

2.  Demystifying propensity scores.

Authors:  G N Okoli; R D Sanders; P Myles
Journal:  Br J Anaesth       Date:  2014-01       Impact factor: 9.166

3.  Effect on mortality of increasing the cutoff blood glucose concentration for initiating hypoglycaemia treatment in severely sick children aged 1 month to 5 years in Malawi (SugarFACT): a pragmatic, randomised controlled trial.

Authors:  Tim Baker; Fatsani Ngwalangwa; Henderson Masanjala; Queen Dube; Josephine Langton; Gaetano Marrone; Helena Hildenwall
Journal:  Lancet Glob Health       Date:  2020-10-08       Impact factor: 26.763

4.  Reducing mortality from severe malaria in Sierra Leonean children by applying the World Health Organization's standard malarial protocol with additional sublingual glucose: A continuous quality improvement report.

Authors:  Asa Oxner; Meghana Vellanki; Andrew Myers; Fonti Bangura; Sheriff Bangura; Augusta Mariama Koroma; Rebecca Massaqoui; Florence Gbao; Dora Kamanda; Joseph Gassimu; Rebecca Kahn
Journal:  Int J Infect Dis       Date:  2020-04-24       Impact factor: 3.623

5.  Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Authors:  Shubhada Hooli; Tim Colbourn; Norman Lufesi; Anthony Costello; Bejoy Nambiar; Satid Thammasitboon; Charles Makwenda; Charles Mwansambo; Eric D McCollum; Carina King
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

6.  Distribution and determinants of pneumonia diagnosis using Integrated Management of Childhood Illness guidelines: a nationally representative study in Malawi.

Authors:  Omolara T Uwemedimo; Todd P Lewis; Elsie A Essien; Grace J Chan; Humphreys Nsona; Margaret E Kruk; Hannah H Leslie
Journal:  BMJ Glob Health       Date:  2018-04-09

7.  Determinants of Integrated Management of Childhood Illness (IMCI) non-severe pneumonia classification and care in Malawi health facilities: Analysis of a national facility census.

Authors:  Emily White Johansson; Humphreys Nsona; Liliana Carvajal-Aguirre; Agbessi Amouzou; Helena Hildenwall
Journal:  J Glob Health       Date:  2017-12       Impact factor: 4.413

8.  Risk Factors for Mortality in Severely Ill Children Admitted to a Tertiary Referral Hospital in Malawi.

Authors:  Fatsani Ngwalangwa; Chikondi H A Phiri; Queen Dube; Josephine Langton; Helena Hildenwall; Tim Baker
Journal:  Am J Trop Med Hyg       Date:  2019-09       Impact factor: 2.345

9.  Care-seeking patterns amongst suspected paediatric pneumonia deaths in rural Malawi.

Authors:  Carina King; Masford Banda; Naor Bar-Zeev; James Beard; Neil French; Charles Makwenda; Eric D McCollum; Malizani Mdala; Yasir Bin Nisar; Tambosi Phiri; Shamim Ahmad Qazi; Tim Colbourn
Journal:  Gates Open Res       Date:  2021-05-06

10.  Predictive value of pulse oximetry for mortality in infants and children presenting to primary care with clinical pneumonia in rural Malawi: A data linkage study.

Authors:  Tim Colbourn; Carina King; James Beard; Tambosi Phiri; Malizani Mdala; Beatiwel Zadutsa; Charles Makwenda; Anthony Costello; Norman Lufesi; Charles Mwansambo; Bejoy Nambiar; Shubhada Hooli; Neil French; Naor Bar Zeev; Shamim Ahmad Qazi; Yasir Bin Nisar; Eric D McCollum
Journal:  PLoS Med       Date:  2020-10-23       Impact factor: 11.069

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