<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJPed</journal-id><journal-title-group><journal-title>Open Journal of Pediatrics</journal-title></journal-title-group><issn pub-type="epub">2160-8741</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojped.2022.121019</article-id><article-id pub-id-type="publisher-id">OJPed-115703</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Kangaroo Mother Care and Neonatal Outcomes in the Pediatric Department of CHU Gabriel Toure
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fousseyni</surname><given-names>Traoré</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hawa</surname><given-names>G. Diall</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Karamoko</surname><given-names>Sacko</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Belco</surname><given-names>Maiga</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Oumar</surname><given-names>Coulibaly</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Isabelle</surname><given-names>Traore</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Leyla</surname><given-names>Maiga</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lala</surname><given-names>N. Sidibe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierre</surname><given-names>Togo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Karim Doumbia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Djeneba</surname><given-names>Konaté</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fatoumata</surname><given-names>Leonie Diakité</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ibrahima</surname><given-names>Ahamadou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adama</surname><given-names>Dembélé</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoul</surname><given-names>Aziz Diakité</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fatoumata</surname><given-names>Dicko Traoré</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mariam</surname><given-names>Sylla</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Boubacar</surname><given-names>Togo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Pediatrics, CHU Gabriel Toure, Bamako, Mali</addr-line></aff><aff id="aff2"><addr-line>Faculty of Medicine and Odontostomatology, Bamako, Mali</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>01</month><year>2022</year></pub-date><volume>12</volume><issue>01</issue><fpage>179</fpage><lpage>187</lpage><history><date date-type="received"><day>20,</day>	<month>January</month>	<year>2022</year></date><date date-type="rev-recd"><day>5,</day>	<month>March</month>	<year>2022</year>	</date><date date-type="accepted"><day>8,</day>	<month>March</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   <b>Introduction:</b> In Mali, prematurity is currently the leading cause of neonatal morbidity and mortality at the Gabriel Toure Hospital. Kangaroo Mother” care is an efficient and effective alternative care strategy for preterm and low birth weight babies. This study aimed to evaluate the epidemio-clinical and therapeutic profile of premature/hypotrophic newborns admitted to the “Kangaroo-mother” care unit. <b>Material and method: </b>It was a retrospective study from 01/01/2010 to 31/12/2012. Were included all stable preterm with gestational age between 28 - 37 weeks and hypotrophic newborns with a birth weight &lt; 10<sup>th</sup> percentile for gestational age. <b>Results: </b>One thousand and eighty-four patients (n = 1084) were included. The sex ratio was 1.2 (F = 592; M = 492). The mean birth weight was 1300 g (600 g - 2000 g). The mean gestational age was 32.69 (28 - 37). The mean age of the mothers was 24 years (13 - 45 years). Single pregnancies accounted for 85.1%. Discontinuation of care was 56%. Follow-up to 24 months was effective in 14% of patients. Sixteen percent of the patients died (n = 176). The mothers’ lack of schooling (p = 0.03) and birth weight &lt; 1000 g (p = 0.003) were the major factors in the patients’ mortality. <b>Conclusion: </b>The kangaroo-mother care is an alternative means to improve the survival of preterm and low birth weight babies in Mali. 
 
</p></abstract><kwd-group><kwd>Newborns</kwd><kwd> Kangaroo-Mother Care</kwd><kwd> Mali</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Neonatal mortality in Mali is among the highest in the world, with one death for every twenty-eight live births. Prematurity is a major factor, with a rate of 11.6 per 100,000 births [<xref ref-type="bibr" rid="scirp.115703-ref1">1</xref>] . It is essential that preterm and low birth weight infants receive appropriate care and feeding during their first 28 days of life. Adequate care for these newborns is a huge problem in many developing countries. The “kangaroo-mother” program began in 1978 in Colombia [<xref ref-type="bibr" rid="scirp.115703-ref2">2</xref>] . Initially experimental, the method involved mothers holding their premature babies skin-to-skin permanently. Recent research has shown that this technique compares favorably with the use of incubators to maintain the normal temperature of preterm infants in the absence of incubators. The kangaroo method is mainly used for newborns with a birth weight of less than 2000 grams and for premature babies. It helps the premature child to integrate more quickly into his family, with social, psycho-emotional and economic benefits. In Mali, the care of premature babies is a huge issue, due to limited resources.</p></sec><sec id="s2"><title>2. Objectives</title><p>The objective of this study was to evaluate the &#233;pid&#233;mio-clinical and outcome of premature/hypotrophic newborns admitted to the “Kangaroo-mother” care unit of the paediatric department of the Gabriel Toure university Hospital.</p></sec><sec id="s3"><title>3. Patients and Methods</title><p>It was a retrospective study which from 01/01/2010 to 31/12/2012. Were included all stable preterm with gestational age between 28 - 37 weeks and hypotrophic newborns with a birth weight &lt; 10<sup>th</sup> percentile for gestational age.</p><sec id="s3_1"><title>3.1. The “Kangaroo-Mother” Procedure</title><p>The newborn was placed almost naked (except for a cap, nappy and socks) between the mother’s breasts (for as long as possible, 24 hours a day), in a strictly vertical position, with his belly in direct contact with his mother’s skin, his head turned to the side, his arms and legs spread out. This position is similar to “frog position”. The sling holds the baby who can be fed in this position. Mother should sleep in a reclining/half sitting position. The kangaroo position is maintained until the baby can no longer tolerate it and feels the need to come out. Feeding is usually started with a feeding tube and then, depending on the level of neurological maturation, given by syringe, spoon and finally by suckling or bottle feeding. Breast milk is preferred. Baby’s formula (premature milk) can be used too. A weight gain per day should be around 10 - 20 g/kg/day. If the mother is deemed capable of continuing home care, further follow-up of the baby continues until 24 months (corrected age for premature infants) of life.</p></sec><sec id="s3_2"><title>3.2. Data Collection and Analysis</title><p>The data were collected from the medical records of newborns in the kangaroo-mother care unit. The variables studied were: Socio-demographic and obstetrical parameters of the mothers; Anthropometric and clinical parameters of the newborns. The data were entered and analysed on SPSS version 20. Discontinuation of follow-up refers to cases of interruption of care for a precise reason and in agreement with the unit’s personnel. A patient was considered lost to follow-up if he was no longer seen at follow-up appointments and did not report back. The care abandonment was defined as a cessation of follow-up without the agreement of the team staff for any reason.</p></sec><sec id="s3_3"><title>3.3. Ethical Aspects</title><p>The consent was obtained from the parents before inclusion in the study and the confidentiality of data was respected.</p></sec></sec><sec id="s4"><title>4. Results</title><p>During the study period, 4471 neonates with a birth weight ≤ 2000 g were admitted to the neonatal unit; of these, 1084 were admitted to the kangaroo unit (24%).</p><sec id="s4_1"><title>4.1. Characteristics of Newborns</title><p>There were 150 pairs of twins, 8 triplets and 3 quadruplets. The majority of the newborns (87%) were delivered by vaginal way. The sex ratio was 1.2 (F = 592; M = 492). The mean birth weight was 1300 g (600 g - 2000 g). The mean gestational age was 32.69 (28 - 37).</p><p>Discontinuation of care was 56%, the majority of which occurred before 40 weeks’ gestation (40%). Follow-up up to 24 months was effective in 14% of patients. Sixteen percent of the patients died (n = 176), and the lethality rate was 6.4%. The mothers’ lack of schooling (p = 0.03) and birth weight &lt; 1000 g (p = 0.003) were the major factors in the patients’ mortality.</p></sec><sec id="s4_2"><title>4.2. Socio-Demographic Characteristics of Mothers</title><p>The average age of the mothers was 24 years (13 - 45 years). Thirty-seven percent of the mothers were primiparous. Eighty-six percent of the mothers were living with a partner. The average number of prenatal visits was 2.8. Ten per cent of the mothers had not attended any antenatal care. Malaria accounted for 17.5% of the conditions during pregnancy (n = 172), followed by anaemia (n = 147; 15%).</p></sec><sec id="s4_3"><title>4.3. Obstetrical Characteristics of Mothers</title><p>Single pregnancies accounted for 85.1%. Delivery took place in second-level health facilities in 48% of cases. Delivery was carried out by a health professional in 98% of cases. The average number of pregnancies per woman was 3 (1 - 12).</p></sec></sec><sec id="s5"><title>5. Discussion</title><p>The retrospective nature of our study affected the sample size and the quality of the analysis of certain parameters. The non-completeness and loss of some records excluded some newborns from the study; the imprecision of some anthropometric parameters taken by the nursing staff made their analysis difficult. The average age of the mothers was 24.5 years with extremes of 13 and 45 years (<xref ref-type="table" rid="table1">Table 1</xref>). They were therefore relatively younger than in the series by Diarra AK. in Mali, Charpak N et al. in Colombia and Kabore et al. in Burkina Faso, who found 26, 27.3 and 29.7 years respectively [<xref ref-type="bibr" rid="scirp.115703-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref5">5</xref>] . These differences could be explained by the different socio-cultural conditions of the peoples where these studies were conducted, but on the other hand by the increasingly early sexuality of adolescents. According to the last demographic health survey in Mali, 18% of women aged 25 - 49 were already in union before reaching the exact age of 15, and 53% were already in union before the exact age of 18; the median age at first sexual relation was 16.5 years for women aged 25 - 49 [<xref ref-type="bibr" rid="scirp.115703-ref6">6</xref>] .</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic characteristics of mothers</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >Age of mothers</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤20 years</td><td align="center" valign="middle" >271</td><td align="center" valign="middle" >28.4</td></tr><tr><td align="center" valign="middle" >20 - 39 years old</td><td align="center" valign="middle" >664</td><td align="center" valign="middle" >69.5</td></tr><tr><td align="center" valign="middle" >&gt;40 years</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >821</td><td align="center" valign="middle" >86.0</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >14.0</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Not in school</td><td align="center" valign="middle" >443</td><td align="center" valign="middle" >46.1</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >348</td><td align="center" valign="middle" >36.3</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >122</td><td align="center" valign="middle" >12</td></tr><tr><td align="center" valign="middle" >Superior</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Employment</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >862</td><td align="center" valign="middle" >88.3</td></tr><tr><td align="center" valign="middle" >Employee</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primiparous</td><td align="center" valign="middle" >356</td><td align="center" valign="middle" >37.0</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >338</td><td align="center" valign="middle" >35.2</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >264</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Number of newborns/pregnancy</td></tr><tr><td align="center" valign="middle" >Unique</td><td align="center" valign="middle" >923</td><td align="center" valign="middle" >85.1</td></tr><tr><td align="center" valign="middle" >Twins</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >13.8</td></tr><tr><td align="center" valign="middle" >Triplet</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >0.7</td></tr><tr><td align="center" valign="middle" >Quadruplet</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.3</td></tr></tbody></table></table-wrap><p>The frequency of low birth weight was higher in mothers aged 20 - 39 years (65.9%); our results were similar to those of Guillemette et al. in Quebec who found a higher proportion (91.9%) for the same age group [<xref ref-type="bibr" rid="scirp.115703-ref7">7</xref>] . The majority of mothers (86%) were married, which is consistent with the results of the Mali demographic and health survey, which found that just over eight out of ten women (81%) were in union at the time of the survey [<xref ref-type="bibr" rid="scirp.115703-ref6">6</xref>] . Charpak et al. in Colombia also found that the majority of mothers were in a couple (62.3%) [<xref ref-type="bibr" rid="scirp.115703-ref8">8</xref>] . On the other hand, studies in Burkina Faso and Nigeria showed that single women were more likely to deliver preterm babies [<xref ref-type="bibr" rid="scirp.115703-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref10">10</xref>] . This indicates that marital status had no influence on the occurrence of prematurity. The majority of mothers in our study were uneducated (46.1%) and housewives (74.7%). In Mali, according to EDS-M VI, two thirds of women (66%) had no education [<xref ref-type="bibr" rid="scirp.115703-ref6">6</xref>] . Other studies carried out in Mali by Diakite N. and Diarra I. had reached the same conclusions with respective rates of 89.1% and 65.7% of housewives [<xref ref-type="bibr" rid="scirp.115703-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref12">12</xref>] . Our results are similar to those of Kabore et al. in Burkina Faso (77.7%) [<xref ref-type="bibr" rid="scirp.115703-ref5">5</xref>] . On the other hand, in Yaound&#233;, Miaffo et al. in 2008 did not find any significant difference between women with an income-generating activity and those with no employment in relation to the delivery of PPN [<xref ref-type="bibr" rid="scirp.115703-ref13">13</xref>] . The majority of mothers (77.7%) lived in urban areas (45 minutes from the hospital). In Dakar, P.M. Faye et al found that 26.5% of mothers lived in urban areas [<xref ref-type="bibr" rid="scirp.115703-ref14">14</xref>] . Access was therefore easy and inexpensive, but this did not have a positive influence on mothers’ attendance. This could be due to the low economic level of our households. The low birth weight babies were mostly born to primiparous mothers (36.3%). This result is close to that of Faye PM. et al in 2013 in Dakar (35.5%) and that of Diarra A. in Bamako (40.8%) [<xref ref-type="bibr" rid="scirp.115703-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref15">15</xref>] . The results of the literature concerning the associations between parity and prematurity are discordant, with few good quality studies [<xref ref-type="bibr" rid="scirp.115703-ref16">16</xref>] .</p><p>Fifty-six percent of the mothers had received at least four antenatal care visits (ANC) during the pregnancy. Our results are not consistent with those of Diarra AK, Balaka and Prazuck et al. who showed that poor compliance with ANC was a contributing factor to preterm or low birth weight delivery [<xref ref-type="bibr" rid="scirp.115703-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref17">17</xref>] . Malaria (17.5%) and anaemia (15%) were the most frequent pathologies during pregnancy. The role of malaria among the etiological factors of prematurity had been demonstrated by several studies [<xref ref-type="bibr" rid="scirp.115703-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref18">18</xref>] . NDiaye et al. found malaria to be the only maternal pathological factor [<xref ref-type="bibr" rid="scirp.115703-ref19">19</xref>] . This could be explained by the fact that malaria is a serious pathology in pregnant women in endemic zones and is responsible for the threat of premature delivery. The multiple pregnancy rate in our series (14.9%) was comparable to that of Diakite in Mali (16.3%), Balaka in Togo (17.7%) and Diagne in Senegal (13.7%) [<xref ref-type="bibr" rid="scirp.115703-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref20">20</xref>] . Multiple pregnancies can induce overall prematurity, whether spontaneous or induced [<xref ref-type="bibr" rid="scirp.115703-ref16">16</xref>] . The majority of premature babies (56.5%) followed at the kangaroo unit had a median gestational age of 32 weeks (32 - 34) with a slight representation of the female sex (54%). The majority of deliveries took place in a health facility (98.3%) and by vaginal delivery (86.9%). The average of birth weight was 1300 g (<xref ref-type="fig" rid="fig1">Figure 1</xref>). This result is lower than that of Ugochukwu et al. in Nigeria, who found that 46.6% of premature babies weighed between 1500 and 1990 g [<xref ref-type="bibr" rid="scirp.115703-ref21">21</xref>] . Thirteen percent of the newborns were followed up to 24 months (<xref ref-type="table" rid="table2">Table 2</xref>). According to the results reported by Sidib&#233; in 2012, over a period of 2 years and in the same</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Characteristics of newborns</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Number</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >Place of birth</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Third level hospital</td><td align="center" valign="middle" >215</td><td align="center" valign="middle" >20.2</td></tr><tr><td align="center" valign="middle" >Second level hospital</td><td align="center" valign="middle" >509</td><td align="center" valign="middle" >47.7</td></tr><tr><td align="center" valign="middle" >Community Health Centre</td><td align="center" valign="middle" >243</td><td align="center" valign="middle" >22.8</td></tr><tr><td align="center" valign="middle" >Home</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >1.7</td></tr><tr><td align="center" valign="middle" >Private clinic</td><td align="center" valign="middle" >81</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Delivery route</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lower track</td><td align="center" valign="middle" >912</td><td align="center" valign="middle" >87</td></tr><tr><td align="center" valign="middle" >Caesarean section</td><td align="center" valign="middle" >137</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >572</td><td align="center" valign="middle" >54</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >488</td><td align="center" valign="middle" >46</td></tr><tr><td align="center" valign="middle" >Outcome</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Follow-up to 24 months</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >13.8</td></tr><tr><td align="center" valign="middle" >Stop of tracking</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >Lost to follow-up</td><td align="center" valign="middle" >608</td><td align="center" valign="middle" >56.1</td></tr><tr><td align="center" valign="middle" >Transfers to other mother and Child unit</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >1.2</td></tr><tr><td align="center" valign="middle" >Abandonment of care</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >2.5</td></tr><tr><td align="center" valign="middle" >Deaths</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >6.4</td></tr><tr><td align="center" valign="middle" >Ongoing monitoring</td><td align="center" valign="middle" >176</td><td align="center" valign="middle" >16.2</td></tr></tbody></table></table-wrap><p>unit, this follow-up rate was only 11.1% [<xref ref-type="bibr" rid="scirp.115703-ref22">22</xref>] . This low follow-up rate could be explained firstly by the mother stopping the practice of “kangaroo-mother” care on discharge from hospital, the death of the baby during follow-up, lack of resources and probably the family’s lack of adherence to the practice of the program [<xref ref-type="bibr" rid="scirp.115703-ref23">23</xref>] . The rate of loss to follow-up was very high in our series (56.1%). This percentage is higher compare to Samuel et al. (20%) and Laura (13%) [<xref ref-type="bibr" rid="scirp.115703-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref24">24</xref>] series. The non-adherence of the family to the program, the lack of means for the program to actively search for the lost to follow-up (telephone follow-up, home visit) and the financial difficulties of the parents to pay the numerous visits to the hospital could explain this high rate. We recorded (69) deaths and the letality rate was 6.4%, which is higher than Nathalie’s Charpak et al. (3%) study. Our letality is lower than Tereza’s Toma study in Brazil (14.1%) [<xref ref-type="bibr" rid="scirp.115703-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.115703-ref26">26</xref>] . Comparing our results with those of Sylla et al. we note a decrease in mortality from 7.9 in 2011 to 6.4% in 2010. However, it occurred earlier in hospital (60% of cases). Sylla et al. reported more deaths in the interval between discharge and gestational age of 40 weeks [<xref ref-type="bibr" rid="scirp.115703-ref27">27</xref>] . Maternal age over 40 years, non-education and poor socio-economic conditions of the mothers, female gender, weight &lt; 1000 g and gestational age of the newborns below 32 were associated with the occurrence of death. But on bivariate analysis, none of these factors had an influence on mortality.</p></sec><sec id="s6"><title>6. Conclusion</title><p>The mother-kangaroo method is an alternative means of improving the survival of premature and low birth weight newborns in Mali. Raising parents’ awareness at the time of admission will allow good long-term follow-up of patients.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Traor&#233;, F., Diall, H.G., Sacko, K., Maiga, B., Coulibaly, O., Traore, I., Maiga, L., Sidibe, L.N., Togo, P., Doumbia, A.K., Konat&#233;, D., Diakit&#233;, F.L., Ahamadou, I., Demb&#233;l&#233;, A., Diakit&#233;, A.A., Traor&#233;, F.D., Sylla, M. and Togo, B. (2022) Kangaroo Mother Care and Neonatal Outcomes in the Pediatric Department of CHU Gabriel Toure. 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