Pneumonia in rural Malawians under five years old

[Full title: Pneumonia in rural Malawians under five years old: Treatment outcomes and clinical predictors of death on admission]

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A fric an J ou rn al o f Pr im ary H ea lth C are & F am ily M ed icin e http://www.phcfm.org PHCFM Original Research A rtic le # 43 Pneumonia in rural Malawians under fi ve years old (page number not for citation purposes) Authors: Prosper M. Lutala 1 Suzgo Mzumara 2 Maurice Mlenga 2 Raphael Talipu 2 Eric Kasagila 3 Affi liations: 1 Department of Family Medicine, University of Goma, Democratic Republic of Congo 2 Mchinji District Health Offi ce, Malawi 3 Department of Community Medicine, College of Medicine, University Of Malawi Correspondence to: Prosper M. Lutala e-mail: jolutprosper@yahoo.fr Postal address: United Nations System in Malawi, UNDP/UN Volunteers Offi ce, P.O. Box 30135, Lilongwe 3, Malawi; and Département de Médecine de Famille, Université de Goma, B.P. 204, Goma, Congo, DRC Keywords: pneumonia; children; Malawi; death; risk factors Dates: Received: 8 March 2009 Accepted: 11 June 2009 Published: 01 Sept. 2009 How to cite this article: Lutala PM, Mzumara S, Mlenga M, Talipu R, Kasagila E. Pneumonia in rural Malawians under fi ve years old: Treatment outcomes and clinical predictors of death on admission. Afr J Prm Health Care Fam Med. 2009;1(1), Art. #43, 6 pages. DOI: 10.4102/phcfm.v 1 i 1.43 © 2009. The Authors Licensee: OpenJournals Publishing. This work is licensed under the Creative Commons Attribution License 112 P NEUMONIA IN RURAL M ALAWIANS UNDER FIVE YEARS OLD : T REATMENT OUTCOMES AND CLINICAL PREDICTORS OF DEATH ON ADMISSION ABSTRACT Background: High mortality and disability due to pneumonia occur worldwide. The introduction of the Integrated Management of Childhood Illness strategy in Malawi brought with it hope of an improvement in the outcome of pneumonia. However, the risk of death and treatment outcomes remain unknown in many districts. Method: The medical records of 466 consecutive patients admitted to the Mchinji District Hospital from January 2004 to January 2006 whose disease met the World Health Organization criteria for pneumonia were reviewed. Data were collected from forms that had been fi lled out and different treatment outcomes and determinants of death were analysed using logistic regression. Results: Of the 466 patients, 62.7% completed treatment, 15.9% had unknown outcomes, 12.9% died, 8.4% were lost to follow-up, 0.8% failed to improve with treatment, and 0.4% were transferred to other facilities. Independent predictors of death were: age less than 2 years, female sex, history of pneumonia, chest retractions, type of pneumonia, and central cyanosis. Conclusion: A high proportion of deaths and unknown outcomes occurred among participants. Young age, female sex, history of pneumonia, chest retractions and central cyanosis were associated with death. Mortality from pneumonia may be reduced by close monitoring of these risk factors and by improving health education programmes and communicating these fi ndings to parents and health workers. Further investigations of local reasons for high rates of unknown/unreported outcomes are welcomed Vol. 1 No. 1 Page 1 of 6 INTRODUCTION Between 1960 and 1990, child mortality in developing regions was halved to 1 child in 10 dying before the age of fi ve years. Six causes account for 73% of the 10.6 million deaths in this population: pneumonia, diarrhoea, malaria, neonatal sepsis, preterm delivery and asphyxia at birth 1 An estimated 1.9 million children die each year due to acute respiratory infections (ARIs), mainly pneumonia. According to a report by the World Health Organization (WHO), about 3.9 million deaths and the loss of 94.6 million disability-adjusted life years occur worldwide due to respiratory infections alone 2 The Malawi National Health Information System listed respiratory illness as the second most common outpatient disease after malaria in children under fi ve years of age, constituting 18.2% of all outpatient conditions. Respiratory illness was the third main inpatient disease, representing 10.1% of admissions and accounting for 8.8% of the case-fatality rate 3 Malawi’s gross domestic product (GDP) was only $1.8 billion in 2003, with around 60% of the population living below the poverty line. This poverty is a result of a combination of several factors including: underdeveloped institutions; poor physical infrastructure; corruption; low human capital investment refl ected in limited educational provision; undiversifi ed exports; diffi cult climatic conditions; an adverse geographical position restricting access to international markets; and relatively few natural resources 4 Large proportions of the population require food aid, with substantial numbers of malnourished children in feeding centre programs 5 Malawi’s economy and public services are further weakened by long-term morbidity among people in their productive age and by an estimated 80 000 premature deaths due to HIV each year 6 In rural Malawi, as in many rural settings in Sub-Saharan Africa, solid fuels remain the principal household source of energy for cooking, heating and lighting Biomass fuels that are used include plant or animal materials such as wood, charcoal and dung residues. These account for more than one half of domestic energy. People live in small houses with a lack of suffi cient ventilation and poorly designed stoves that do not have fl ues or hoods to remove smoke from living areas 7, 8 The combination of the above-mentioned factors with incomplete immunisation and late care-seeking behaviour drastically increases the likelihood of severe pneumonia 7,8,9 The Mchinji district is populated by about 456 314 inhabitants including 77 573 under-fi ves. The district is served by a 180-bed district hospital. Pneumonia case management has been well implemented in Malawi by means of the Integrated Management of Childhood Illness (IMCI) strategy and led to a 29% decrease in mortality among children under fi ve years of age between 2000 and 2006 10 Yet, child mortality due to pneumonia could probably be reduced further by using a combination of approaches 11,12,13,14 Despite studies assessing the state of pneumonia management related to the above domains, nothing has yet been done to address these issues in the Mchinji district. Therefore, the objectives of the study were to determine, fi rstly, which risk factors best predict death from pneumonia at the Mchinji District Hospital, and secondly, the outcomes of treatment using the national syndromic guidelines for pneumonia treatment in children under fi ve years old. METHOD A retrospective study was carried out in the paediatric ward of Mchinji District Hospital, rural Malawi.

Original Research Lutala, Mzumara, Mlenga, Talipu & Kasagila PHCFM http://www.phcfm.org A fri ca n J ou rn al o f Pr im ar y H ea lth C ar e & F am ily M ed ic in e A rti cl e # 43 (page number not for citation purposes) 113 Vol. 1 No. 1 Page 2 of 6 All children consecutively admitted to the ward from January 2004 to January 2006 were included in the study. The data were collected from a special form called the ‘yellow card’ or ‘Pneumonia Inpatient Recording Form’ (see Figure 3) and were cross-checked with information from pneumonia registries covering the study period. For the purpose of this study, the type of pneumonia was classified according to the WHO definition 15 The treatment was decided on according to the severity of the pneumonia, in line with IMCI guidelines. Oral co-trimoxazole was prescribed for simple pneumonia, benzylpenicillin for severe pneumonia, and chloramphenicol for very severe pneumonia. For infants less than two months of age, both benzylpenicillin and gentamycin were given. Within four days following hospital discharge for children two months to five years old (and within five days for newborn babies), the regimen was switched to amoxicillin to complete the course of treatment. The prescription of oral amoxicillin was initiated once all the clinical features of severe and very severe pneumonia from simple pneumonia had subsided. Upon discharge, the next of kin/mother was advised to take the child to the health facility for follow-up after completing the course of antibiotics, to ascertain healing and to record the final outcome. Apart from death, the treatment outcomes were divided into five groups: (1) treatment completed (course of antibiotics completed and/or full recovery, meaning no clinical features persisted and the patient returned to his/her initial state of health following a successful course of treatment); (2) failure at 48 hours (worsening of rapid breathing, worsening of inspiratory retractions, development/persistence of abnormal sleepiness or difficulty in awakening, or development/persistence of inability to drink or poor breastfeeding); (3) self-discharge against medical advice (child removed from the hospital against medical advice before treatment was completed), (4) loss to follow-up (the child was referred for treatment to another health facility and the result of treatment in this second facility was unknown; when the result was known, it should have been recorded in place of the result ‘transferred’); (5) outcome unknown (when the parent and child did not return for a follow-up visit after completion of the intensive phase of antibiotic(s) and the patient was not discharged by a health professional) Respiratory rates were divided into normal and abnormal, depending on the age of the child. For children 12 months old or under, a high respiratory rate was more than 60 breaths per minute (HRR 1 ); for those between 12 and 36 months, more than 40 breaths per minute (HRR 2 ); and for those between 36 and 59 months, more than 34 breaths per minute 16 Age range was stratified in 3 groups (A 1 : 0–2 months; A 2 : 2–24 months; and A 3 : 24–59 months) Central cyanosis was defined as oxygen desaturation, as opposed to venous blood. It is translated by blue discolouration of lips and nail beds and cyanosis of mucus and skin, and is measured using a pulse oximetry 17 Data were captured using STATA version 9.0 for Microsoft Windows 18 Multivariable logistic regression was performed with pneumonia death or survival as the outcome. All confounding factors (treatment options, age ranges, and types of pneumonia) were entered and adjusted to investigate their contribution to mortality. Since the number of patients with ‘unknown outcomes’ and ‘[loss] to follow-up’ were high, it was decided to perform a sensitivity analysis with bestand worst-case scenario testing. This was done by assuming the best outcome, i.e., ‘survival’ for all patients with unknown outcomes or loss to follow-up (best case), and then assuming the worst outcome, i.e., death, for these same patients (worst case). Also, the treatment options in the acute phase were introduced into the model as an independent factor to discover their predictors of death. All variables that were associated with death at the significance level of P < 0.10 in the univariate analysis were included in the initial model. The significance level for removal from the model was set at P = 0.06 and that for addition to the model at P = 0.05. When appropriate, 95% confidence intervals (CIs) were calculated for the proportions. RESULTS Table 1 summarises the demographic and baseline clinical characteristics of the patients. Most patients were female and had severe pneumonia, and the highest proportion of patients was admitted in 2005 Treatment outcomes Figure 1 summarises the treatment outcomes and demonstrates that the most common outcome was completion of treatment (62.7% of patients), followed by unknown outcome (15.9%) Mortality risk factors In Table 2 the best case scenario was assumed, and in Table 3, the worst case scenario. Female sex, history of pneumonia, type of pneumonia (i.e. severity), chest in-drawing/ chest retractions, TABLE 1 Demographic and baseline clinical characteristics of patients VAriABLE NumBEr of chiLdrEN PErcENTAgE 95% coNfidENcE iNTErVAL Sex Male 207 44.4 Female 257 55.2 Missing values 2 0.4 Type of pneumonia Simple pneumonia 27 5.8 4.0–8.3 Severe pneumonia 257 55.2 50.6–59.6 Very severe pneumonia 171 36.7 32.4–41.2 Missing values 11 2.4 1.3–4.2 Year of admission 2004 180 38.6 34.3–43.1 2005 264 56.7 52.1–61.1 2006 18 3.9 2.5–6.0 Missing values 4 0.8 0.3–2.2 ToTAL 466 100 figurE 1 Different outcomes of treatment 1. Completed treatment 2. Unknown outcomes 3. Died 4. Lost to follow-up 5. No improvement with treatment 6. Missing values 7. Transferred

A fric an J ou rn al o f Pr im ary H ea lth C are & F am ily M ed icin e http://www.phcfm.org PHCFM Original Research A rtic le # 43 Pneumonia in rural Malawians under five years old (page number not for citation purposes) 114 Vol. 1 No. 1 Page 3 of 6 crudE VALuES AdjuSTEd VALuES VAriABLES or (95% ci)[1] P–VALuE or (95% ci)[2] P–VALuE Age 0–2 months 0.96 (0.93–0.99) 0.01 0.96 (0.93–0.99) 0.04 Sex 1.11 (0.65–1.92) 0.7 Female sex 0.91 (0.25–0.99) 1.48 (1.05– 4.05) 0.02 History of pneumonia 1.13 (0.46–2.79) 0.78 PAP[3] 0.66 (0.33–1.44) 0.29 Respiratory rate 1.01 (0.99–1.04) 0.24 Inspiratory chest retractions 0.32 (0.11–0.92) 0.03 0.37 (0.12–1.10) 0.07 DDF[4] 0.55 (0.32–0.95) 0.03 0.59 (0.33–1.07) 0.08 Central cyanosis 0.21 (0.10–0.42) 0 0.32 (0.15–0.67) 0 Major signs presents 1.06 (01.0–1.11) 0.05 1.03 (0.97–1.09) 0.31 Type of pneumonia 2.01 (1.13–3.07) 0 1.75 (1.00–3.06) 0 very severe 5.4 (2.89–10.1) 0 5.70 (3.04–13.21) 0.02 Associated malaria 0.68 (0.38–1.19) 0.18 Antibiotic treatment 0.93 (0.84–1.03) 0.15 Additional treatment 0.70 (0.40–1.19) 0.19 Year of admission 0.73 (0.54–0.99) 0.04 0.93 (0.64–1.34) 0.69 Dry/cold season (May– August) 0.99 (0.94–1.03) 0.58 TABLE 2 Risk factors independently associated with death (best case scenario: All patients with unknown outcomes assumed to have survived/recovered) TABLE 3 Risk factors undependably associated with death (worst case scenario: All patients with unknown outcomes assumed to have died) crudE VALuES AdjuSTEd VALuES VAriABLES or (95% ci) P–VALuE or (95% ci) P–VALuE Age 0.9 (0.97–1.01) 0.5 Sex 1.1 (0.79–1.68) 0.4 History of pneumonia 0.7 (0.4–1.3) 0.3 PAP 0.6 (0.3–1.2) 0.22 Respiratory rate 1.0 (0.9–1.0) 0.5 Inspiratory chest retractions 0.58 (0.34–0.99) 0.05 0.61 (0.35–1.05) 0.07 DDF 1.11 (0.75–1.63) 0.61 Central cyanosis 0.48 (0.25–0.91) 0.03 0.51 (0.26–0.97) 0.04 Major signs presents 1.02 (0.98–1.06) 0.43 Type of pneumonia 1.17 (0.86–1.60) 0.32 Very severe 1.69 (1.13–2.51) 0.01 1.54 (1.01–2.33) 0.04 Associated malaria 0.85 (0.56–1.28) 0.43 Antibiotic treatment 0.98 (0.92–1.04) 0.6 Additional treatment 0.75 (0.51–1.09) 0.13 Year of admission 0.87 (0.71–1.06) 0.17 Cold season 1.03 (0.99–1.06) 0.1

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Original Research Lutala, Mzumara, Mlenga, Talipu & Kasagila PHCFM http://www.phcfm.org A fri ca n J ou rn al o f Pr im ar y H ea lth C ar e & F am ily M ed ic in e A rti cl e # 43 (page number not for citation purposes) 115 Vol. 1 No. 1 Page 4 of 6 and central cyanosis (Table 2) were independently associated with death. For each variable, except type of pneumonia, the odds ratios for death were similar for the best and worst case scenarios. Therefore, according to the analysis, missing information about patients with unknown outcomes did not significantly affect the risk that was ascribed to each variable, except the type ‘very severe pneumonia’. Stratification of ages did not show any difference between the best versus worst case scenarios: Age 1 (1.52 [95% CI 0.59–2.96]; P: 0.50) versus (1.04 [95% CI 0.57–1.90]; P: 0.81), Age 2 (1.07 [95% CI 0.57–2.04]; P: 0.22) versus (OR 1 [95% CI 0.65–1.56]; P: 0.02), Age 3 (0.67 [95% CI 0.28–1.64]; P: 0.38) versus (0.96 [95% CI 0.56–1.67]; P: 0.89) The same was found for respiratory rates among the groups: in RR 1 (1.46 [95% CI 0.81–2.66]; P: 0.21) versus (1.27 [95% CI 0.83– 1.95]; P: 0.28), RR 2 (1.76 [95% CI 0.40-7.68]; P: 0.45) versus (1.96 [0.45–2.45]; P: 0.90) Male sex did not reveal any differences relating to death risk from pneumonia in both scenarios: (0.90 [95% CI 0.52–1.55]; P: 0.70) in first scenario versus (0.87 [0.59–1.27]; P: 0.87) in the second An analysis of the probability of survival associated with different antibiotic regimens (Table 4) was conducted due to fact that the ineffectiveness of some antibiotics used in pneumonia regimens to prevent death was presumed. Treatment with chloramphenicol was associated with survival (OR 5.6 [95% CI, 3.2–10.6]) when used alone. In contrast, benzyl penicillin used on its own was associated with the lowest probability of survival (OR 0.26 [95% CI 0.13–0.53]) in the best scenario. DISCUSSION The results show that the mortality in this study (12.9%) was higher than the national case-fatality rate previously reported (8.85%). This mortality may be an underestimate of the actual mortality due to several reasons. Firstly, the high prevalence of HIV in the country with a high mortality of pneumonia due to Pneumocystis jirovecii in Malawian children has been described elsewhere 19 Secondly, HIV-infected children, especially infants, with severe pneumonia fail WHO-standard treatment with parenteral penicillin or amoxicillin more often than do HIV-negative children 20 and a high mortality of pneumonia- HIV co-infection is well known 21 Thirdly, rates of resistance to cotrimoxazole are very high, particularly in Sub-Saharan countries like Malawi where cotrimoxazole is used to prevent pneumonia, 22 malaria, and intestinal and cerebral infections. In some guidelines, amoxicillin is now preferred as a first-line treatment for pneumonia, based in part on the finding that more severe cases do better with amoxicillin 23 Despite this, cotrimoxazole remains the recommended drug used in cases of simple pneumonia in Malawi in view of its efficacy, cost, and ease of use 2, 25 The risk of survival increased almost six-fold (Table 4) once chloramphenicol had been administered, but was relatively unaffected when penicillin was given. This finding may reflect the development of some bacterial strains that are resistant to penicillin or lack of stratification between severe and very severe pneumonia; two forms with different prognoses. The overall case-fatality rate reported at the Queen Elizabeth Central Hospital in Blantyre, Malawi was 22%, 16 almost double the rate we found (12.9%). This difference can be explained by the higher prevalence of HIV/AIDS in urban, densely populated cities of Malawi such as Blantyre, as opposed to the rural areas. In addition, a few cases of death were possibly overlooked in our study due to the high rate of unknown outcomes and transfers without follow-up data. The Blantyre study reported the mortality rate of severe cases while this study included all three categories. The case-fatality rate of this study is higher than the rates found in Pakistan 26 before and after the introduction in 1996 of the IMCI case management of pneumonia (9.9% and 4.9% respectively). The treatment outcomes seemed satisfactory in 62.3% of patients who completed the course of antibiotics (Figure 1). However, the rate of patients lost to follow-up or with unknown outcomes constituted 15.9% and 8.4% respectively; this being of great concern. In fact, these two figures can provide insight into the actual conditions of the health care system. Several possible factors may explain these relatively high numbers: referral system dysfunction; lacking negotiation skills on the part of those providing counselling on discharge; insufficient numbers of trained auxiliary staff in the community to liaise with the hospital; lack of strong emphasis on community pneumonia management in the guidelines; and social attitudes in African culture that tend to give little importance to prevention The results of this study are in line with previous studies which showed that moderate to severe alteration of general health status, 26 inspiratory retractions, and age between 2 and 11 BEST ScENArio WorST ScENArio VAriABLE or (95% ci) P–VALuES or (95%ci) P–VALuES Benzyl penicillin (BP) 0.3 (0.13–0.53) 0 0.7 (0.46–1) 0.05 Chloramphenicol (cc) 5.6 (3.19–10.6) 0 1.9 (1.32–3.0) 0 BP + gentamycin (gen) 2.2 (0.23–21.8) 0.49 1.2 (0.56–2.6) 0.62 cc+ gentamycin 6.7 (0.41–109) 0.18 1.7 (0.11–27) 0.71 BP + chloramphenicol 1.4 (0.40–5.17) 0.57 0.9 (0.33–2.5) 0.87 TABLE 4 Treatment option as independent variable in prediction of survival in the best and worse scenarios figurE 2 Child with severe pneumonia in Mchinji Hospital

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Pneumonia in rural Malawians under five years old Original Research http://www.phcfm.org PHCFM A fric an J ou rn al o f Pr im ary H ea lth C are & F am ily M ed icin e A rtic le # 43 (page number not for citation purposes) 116 Vol. 1 No. 1 Page 5 of 6 months 26, 27 were significantly associated with death. Another study 18 showed, contrary to the findings of this study, that cyanosis and poor feeding were strong predictors of death compared to other variables. However, in areas such as Malawi with patients from highly pigmented race groups, where moderate and severe anaemia (Hb < 7 g/dl) are common, particular difficulties are found in using cyanosis as a clinical sign of hypoxaemia 17 Limitations of the study The main limitations of this study result from its retrospective nature. Data on many patients were not available. More importantly, the lack of information on variables like HIV status and nutrition compromised the analysis of predictors of death, even though questions are asked about these variables on the ‘yellow card’ or Pneumonia Inpatient Recording Form designed by the Malawian government. Finally, the study was limited by the large number of patients who were lost to follow-up due to the reasons described above. One of the strengths of the study was the inclusion of different seasons during consecutive years; data was validated by checking two different sources. Also, the results were validated by minimising the effect of the high number of unknown outcomes on the determination of risk factors for death by conducting analyses based on two alternatives scenarios Conclusion The case management of pneumonia in paediatrics in the Mchinji District Hospital is following the standard of care prescribed by the WHO successfully. However, a high case-fatality rate and a high number of unknown outcomes persist. Risk factors for death and predictors of different treatment outcomes have been identified. Close monitoring of identified risk factors in children admitted for pneumonia could reduce the burden of disease in this hospital. Furthermore, knowledge of the risk factors may be used to improve the efficiency of health education programmes for parents and health workers aimed at reducing pneumonia mortality. Studies are warranted to further elucidate and address the reason why so many children with pneumonia are lost to follow-up or have ‘unknown outcomes’ REfERENCES Nizami SQ, Bhutta ZA, Ha 1. san R. Incidence of acute respiratory infections in children 2 months to 5 years of age in periurban communities in Karachi, Pakistan. J Pak Med Assoc. 2006;56(4):163–167. Mulholland K. Global burden of acute respiratory 2. infections in children: Implications for preventions. Pediatr Pulmonol. 2003;36:469–474 WHO. The World Health Report 2004. Geneva: World 3. Health Organization; 2004; Annex 3 pp. 120–126 The Scottish Government Publications. Malawi Economic 4. Brief: May 2005 [homepage on the Internet]. c 2008 [cited 2008 Dec 15]. Available from: www.scotland.gov.uk/Publi cations/2005/06/09132146/21482.pdf.html Robson E, Ansell N, Van Blerk l, Chipeta L, Hajdu F. AIDS 5. and Food Insecurity: ‘New variant famine’ in Malawi? Malawi Medical Journal. 2007;19(4):136–137 National AIDS Commission. HIV & syphilis sero-survey 6. and national HIV prevalence estimates report. 2005. Lilongwe, Malawi: National AIDS Commission figurE 3 Pneumonia inpatient recording �������� ����������������������������������������������������������������������������������������������������������������������������������������� ��������������������������������������������������������������������������������������������������������������������������������������������������������������������������� ��� ����!����"���#�����������������������#����������$$����������������������������������������������������������������������������������������� ����%����!�&��������������������������������������'�"�%�(�&����������������������������� ��� ����)�$�#���)�����������#������*����������!���+,�$�#���� �����!���+,�$�#�-� ��������������������!�� ����+�����!����#����������������� ���� ������������������������������������!������ *�#�������������� )���)���� �������)���� � #�!�� �!�������� ���.�����!������ ��$���������)��������������!��� ����,+�����!���#������ ������)�!������ ��$������������������������������������������������������������������������ /���!�����0�����������������������������������������������������������������������1�-������������������",����������������������������������� � ����� �)��������������������������������������������������������������������� ����)�������������������������������������������������������������������������������������� ���������� ���� � �������������� 2������������������� 3!��4����������������������������������������2������������������� 5��#���.������������� '�.������������� ��������� ��� ��!����%�����)#& ���� ������ ���� 6��4# ������ ��� ���"#�� �� �! �����!����� �������"�4� � ��!�������� �������%�����)#& ��!������������� ����������������������� '�.�����!�������$��/�����������������2���������������� ������ ��#��������������������������������2���������������� ' ���#($�))��� �#����/�0���������������2���������������� � ����� �����)��$�/� ����������������2���������������� 3!��4�����������������������������������������2��������������� �����������������������������������������2���������������� ����������������������������������������2��������������� ���� �) ��������������������������������������2��������������� ����������� �������������������������������2��������������� ���.� ���������������������������������������2��������������� ��5��������������������������������.������������.�������������0��/��������������������������������������������� �������!���.���������!�������7�����!���������������������������2��������������������������� 6 ��$�)� �%�� ����&������������.������������.�������������0��/�����������������������������������������'�.������ ����������%���� � �/&����������������������������������������2��������������������������� ���� ���.����������������!�� ����,+�����!������������������������������������������������2������������ %��)�#��8�$������0�����$����� ���& ���.�����!������ ��$��������)��������������!�� ����,+�����!���������������2������������ � Severe chest in drawing Yes no Central cyanosis Yes no Sleepy/difficulty to wake Yes no Able to breastfeed well Yes no Wheeze Yes no Grunting intermittent Yes no Grunting continuous Yes no Nasal flaring Yes no Apneoic spells Yes no Convulsions Yes no

[Find the meaning and references behind the names: Santos, Khan, Lopez, Rehman, Bruce, Zar, Gordon, Walsh, Jesus, Rocha, Nascimento, Perez, Carvalho, Smith, Jeena, Rasmussen, Qazi, April, Jones, Gutierrez, Reyes]

Original Research Lutala, Mzumara, Mlenga, Talipu & Kasagila PHCFM http://www.phcfm.org A fri ca n J ou rn al o f Pr im ar y H ea lth C ar e & F am ily M ed ic in e A rti cl e # 43 (page number not for citation purposes) 117 Vol. 1 No. 1 Page 6 of 6 Smith KR, Mehta S, Maeusezahl-Feuz M. Indoor air- 7. pollution from solid fuel use. In: Ezzatti M, Lopez AD, Rodgers A, Murray CJL, editors. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Geneva: World Health Organization, 2004; p. 1435–1493 Fullerton DG, Bruce N, Gordon SB. Indoor air pollution 8. from biomass fuel smoke is a major health concern in the developing world. Trans R Soc Trop Med Hyg. 2008; 102(9):843–851 WHO 2002. Pneumonia: The forgotten killer of children. 9. New-York/Geneva: Unicef/WHO; 2006 UNICEF. 10. In a child survival milestone, under-five deaths fall below 10 million per year, New York, USA, 13 September 2007 [homepage on the Internet]. No date [cited 2008 Dec 11]. Available from: www.unicef.org/ childsurvival/index_40850.html Reyes H, Perez-Cuevas R, Salmeron J, Tome P, Guiscafre 11. H, Gutierrez G. Infant mortality due to acute respiratory infections: The influence of primary care processes. Health Policy Plan. 1997;12:214–223. Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS. 12. How many child deaths can we prevent this year? Lancet. 2003;362:65–71 Mulholland K. Global burden of acute respiratory 13. infections in children: Implications for interventions. Pediatr Pulmonol. 2003;36:469–474 Victora CG, Kirkwood BR, Ashworth A, et al. Potential 14. interventions for the prevention of childhood pneumonia in developing countries: Improving nutrition. Am J Clin Nutr. 1999;70:309–320 WHO. The WHO guidelines [homepage on the Internet]. 15. No date [cited 2008 April 27]. Available from: www who.int/child-adolescent health/publications/CHILD_ HEALTH/PB.htm Pediatric respiratory rates [homepage on the Internet]. 16. No date [cited 2009 May 12]. Available from: http://www health.state.ny.us/nysdoh/ems/pdf/assmttools.pdf Ayieko P, Graham S. In children aged 2-59 months with 17. pneumonia, which clinical signs best predict hypoxaemia? International Child Health Review Collaboration [hompage on the Internet]. 2006 [cited 2009 May 22]. Available from: http://www.ichrc.org/pdf/4.2%20 Hypoxaemia.pdf Microsoft. STATA Version 9.0 for Microsoft Windows. 18. Redmond: STATA Ltd Mtitimila E 19. I, Kamanga HS, Walsh AL, Hart CA, Molyneux ME. Clinical presentation and outcome of Pneumocystis carinii pneumonia in Malawian children. Lancet. 2000;355(9201):369–373. Jeena PM, 20. Minkara AK, Corr P, et al. Impact of HIV-1 status on the radiological presentation and clinical outcome of children with WHO defined community-acquired severe pneumonia. Arch Dis Child. 2007;92(11):976–979. Zar HJ. Pneumonia in HIV infected and HIV uninfected 21. children in developing countries, epidemiology, clinical features and management. Current Opinion in Pulmonary Medicine. 2004;10:176–182 Benbachir M, Benredjeb S, Boye CS et al. Two-year 22. surveillance of antibiotic resistance in Streptococcus pneumoniae in four African cities. Antimicrob Agents Chemother. 2001;45:627–629 Straus WL, Qazi SA, Kundi Z, et al. Antimicrobial resistance 23. and clinical effectiveness of co-trimoxazole versus amoxycillin for pneumonia among children in Pakistan: Randomised controlled trial. Lancet. 1998;352:270–274 Catchup Study Group. Clinical efficacy of co-trimoxazole 24. versus amoxicillin twice daily for treatment of pneumonia: A randomised controlled clinical trial in Pakistan. Arch Dis Child. 2002;86(2):113–118 Noorani QA 25. , Qazi SA, Rasmussen ZA, et al. Response to cotrimoxazole in the management of childhood pneumonia in first-level health care facilities. Int J Tuberc Lung Dis. 2006;10(8):932–938 Oazi SA, Rehman GN, Khan MA. Standard management 26. of acute respiratory infections in a children’s hospital in Pakistan: Impact on antibiotic use and case fatality. Bull World Health Org. 1996;74(5):501–507 Nascimento-Carvalho CMC, Rocha H, Santos-Jesus R, 27. Benguiguis Y. Childhood pneumonia: Clinical aspects associated with hospitalization or death. Braz J Infect Dis. 2002;6(1):22–28.

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