Lancet. 2008 Jan 12;371(9607):135-42. doi: 10.1016/S0140-6736(08)60106-3.
Neonatal illness, particularly in the first week of life, is a leading cause of death worldwide. Improving identification of young infants who require referral for severe illness is of major public-health importance.
Infants under 2 months of age brought with illness to health facilities in Bangladesh, Bolivia, Ghana, India, Pakistan, and South Africa were recruited in two age-groups: 0-6 days and 7-59 days. A trained health worker recorded 31 symptoms and clinical signs. An expert paediatrician assessed each case independently for severe illness that required hospital admission. We examined the sensitivity, specificity, and odds ratio (OR) for each symptom and sign individually and combined into algorithms to assess their value for predicting severe illness, excluding jaundice.
3177 children aged 0-6 days and 5712 infants aged 7-59 days were enrolled. 12 symptoms or signs predicted severe illness in the first week of life: history of difficulty feeding (OR 10.0, 95% CI, 6.9-14.5), history of convulsions (15.4, 6.4-37.2), lethargy (3.5, 1.7-7.1), movement only when stimulated (6.9, 3.0-15.5), respiratory rate of 60 breaths per minute or more (2.7, 1.9-3.8), grunting (2.9, 1.1-7.5), severe chest indrawing (8.9, 4.0-20.1), temperature of 37.5 degrees C or more (3.4, 2.4-4.9) or below 35.5 degrees C (9.2, 4.6-18.6), prolonged capillary refill (10.5, 5.1-21.7), cyanosis (13.7, 1.6-116.5), and stiff limbs (15.1, 2.2-105.9). A decision rule requiring the presence of any one sign had high sensitivity (87%) and specificity (74%). After we reduced the algorithm to seven signs (history of difficulty feeding, history of convulsions, movement only when stimulated, respiratory rate of 60 breaths per minute or more, severe chest indrawing, temperature of 37.5 degrees C or more or below 35.5 degrees C), mainly on the basis of prevalence of each sign or symptom, sensitivity (85%) and specificity (75%) were much the same. These seven signs also did well in 7-59-day-old infants (sensitivity 74%, specificity 79%).
A single simple algorithm could be recommended for identifying severe illness in infants aged 0-2 months who are brought to health facilities. Further research is needed on screening newborn children for illness in the community during routine home visits.
新生儿疾病,尤其是在出生后的第一周,是全球范围内主要的死亡原因。提高对需要转诊治疗严重疾病的幼儿的识别能力具有重大的公共卫生意义。
在孟加拉国、玻利维亚、加纳、印度、巴基斯坦和南非,将患病的2个月以下婴儿按两个年龄组招募到卫生机构:0至6天和7至59天。一名经过培训的卫生工作者记录了31种症状和体征。一名专家儿科医生对每个病例独立评估是否患有需要住院治疗的严重疾病。我们分别检查了每种症状和体征的敏感性、特异性和比值比(OR),并将其组合成算法以评估它们对预测严重疾病(不包括黄疸)的价值。
共纳入3177名0至6天的儿童和5712名7至59天的婴儿。12种症状或体征可预测出生后第一周的严重疾病:喂养困难史(OR 10.0,95%CI,6.9 - 14.5)、惊厥史(15.4,6.4 - 37.2)、嗜睡(3.5,1.7 - 7.1)、仅在刺激时活动(6.9,3.0 - 15.5)、呼吸频率每分钟60次或更多(2.7,1.9 - 3.8)、呻吟(2.9,1.1 - 7.5)、严重胸壁凹陷(8.9,4.0 - 20.1)、体温37.5摄氏度或更高(3.4,2.4 - 4.9)或低于35.5摄氏度(9.2,4.6 - 18.6)、毛细血管再充盈时间延长(10.5,5.1 - 21.7)、发绀(13.7,1.6 - 116.5)和四肢僵硬(15.1,2.2 - 105.9)。一个要求出现任何一种体征的决策规则具有较高的敏感性(87%)和特异性(74%)。在我们将算法简化为7种体征(喂养困难史、惊厥史、仅在刺激时活动、呼吸频率每分钟60次或更多、严重胸壁凹陷、体温37.5摄氏度或更高或低于35.5摄氏度)后,主要基于每种症状或体征的患病率,敏感性(85%)和特异性(75%)大致相同。这7种体征在7至59天的婴儿中也表现良好(敏感性74%,特异性79%)。
可以推荐一种简单的算法来识别被带到卫生机构的0至2个月婴儿中的严重疾病。需要进一步研究在常规家访期间对社区新生儿进行疾病筛查。