Abstract
Aims
Prevalence of malnutrition is a common and serious issue responsible for the morbidity and mortality rate among hospitalized patients. We aimed to provide an actual and comprehensive situation of the nutritional characteristics, nutritional support and the risk factors for malnutrition among hospitalized patients in China.
Methods
We analyzed the data from nutritionDay audit 2016 in China. The international daylong cross-sectional survey was performed on November 10th, 2016 via filling out several questionnaires regarding information on patients’ illness, food intake history, weight change and nutritional care. Re-assessment of patients’ outcome questionnaire was performed 30 days later.
Results
Total of 781 patients from 9 hospitals and 8 kinds of departments were enrolled in this report. Of these, malnutrition rate was 29.6%. Parenteral nutrition (251/344, 73.0%) was the primary nutrition support form in Chinese hospitals. However, 41.8% (136/325) of patients at nutritional risk or already diagnosed with malnutrition did not received any form of nutritional support, whereas 34.0% (155/456) well-nourished patients did. Patients with malnutrition had extended length of hospital stay and poor 30-day outcomes compared to well-nourished patients. Nutritional support could benefit nutritional risk or malnutrition patients, rather than well-nourished patients. Moreover, major lesion types, self-related health, food intake last week were independent risk factors of malnutrition (all p<0.05).
Conclusions
Chinese hospital staff is generally lack of knowledge and awareness of malnutrition. Self-related health, major lesion types and food intake are associated with malnutrition.
Introduction
Unbalanced nutritional status causes marginal extremes of unhealthy weight fluctuation. The excess of body weight, known as obesity, has become a current global problem that affects public health, and has received escalating public attention [1]. However, malnutrition, mostly recognized as a deficiency of energy, protein, or other nutrients, has always been neglected in clinical practice despite the fact that it also imposes a threat on public health. Indeed, malnutrition is not only a consequence of disease, but it can also exacerbate the progress of disease or even be causative [2]. In the past decades, a growing body of evidence demonstrated the negative effects of malnutrition, including immune dysfunction, rehabilitation delay, treatment failure, higher rate of infections and complications, and malnutrition may increase the duration of hospitalization, the readmission rate, and the mortality rate [2–5].
Despite the robust evidence of its life-threatening consequences, the prevalence of malnutrition is still a serious problem, especially in hospitalized patients. Previous studies showed that 10–50% of hospitalized patients were diagnosed with malnutrition, depending on the country, race, and diagnostic criteria [5–8]. The reason may be that hospitalized patients need more nutrients for their recovery than the general population [9], and that they may present with metabolic disorders or disease-induced reduction of food intake. Additionally, other factors can also contribute to malnutrition, such as age, pain, loss of taste or smell, main organ dysfunction, problems in chewing or swallowing, omission of essential nutrients, and psychological illness [8].
In China, clinical nutrition is a novel research field facing severe challenges. Comprehensive nutritional surveys in China are rare in last decade. Malnutrition in most hospitals is often missed in diagnosis due to unawareness or inaccurate nutritional screening and assessment. Moreover, inappropriate nutritional support, contrary to the suggested guidelines, is also common and this may further lead to deterioration of the patients’ nutritional status. Hence, there is an urgent need to perform a comprehensive study on malnutrition and nutritional support in China to help increase awareness about malnutrition and enhance the quality of nutritional care.
To begin to address this issue, nine hospitals from all over the country participated in the nutritionDay audit 2016 in China. The nutritionDay worldwide audit is a daylong cross-sectional survey performed annually in health care institutions. The prospective data mainly about patients’ illness and nutritional characteristics, food intake history, weight change, nutritional care and 30-day follow-up were collected and analyzed from heterogeneous medical settings: hospital wards, intensive care units (ICU) and nursing homes. The audit is hosted by the Medical University of Vienna, the European Society for Clinical Nutrition and Metabolism (ESPEN), and the Austrian Society for Clinical Nutrition. Nowadays, the nutritionDay has grown into a standard tool for determining the nutritional status and behavior of hospitalized patients [10].
In the present study, we aimed to provide data regarding the nutritional characteristics and the nutritional care of hospitalized patients in China, to try to identify potential risk factors associated with malnutrition, and to recognize the association between nutritional status and outcomes in hospitalized patients in China.
Methods
Study population
This observational survey was performed in patients from 9 Chinese hospitals (four located in east China, three located in north China, one located in south China and one located in northwest China) during the nutritionDay audit. The study was performed on November 10th, 2016. Hospitalized patients from all departments except ICU were enrolled in this survey. (1) Patients less than 7 years old, (2) patients admitted and discharged during the same calendar day, (3) patients who refused to answer the patient-specific questionnaire or refused to provide medical data, (4) and patients from the units whose participation rate is lower than 60% were excluded from the survey.
Data collection procedure
The data were collected mainly using 3 coordinated questionnaires. (1) Patient-descriptions were completed by the unit staff in order to collect patients’ characteristics, disease-related information, and nutritional support information. (2) Patient questionnaires were completed by patients or caregivers (if necessary) in order to collect information on weight change, appetite, food intake history, mobility, and social contacts. (3) The outcome questionnaires were re-assessed by the unit staff on December 10th, 2016 in order to collect information on the 30-day outcomes, including discharge date, discharge diagnosis, current outcome status, and readmission. We followed up and calculated the total length of hospital stay (LOS) of 350 patients in Jinling Hospital and National Cancer Center/Cancer Hospital. All these questionnaires are available in https://www.nutritionday.org.
Sample size and power calculation
The estimated sample size is n. The incidence of malnutrition in our previous study is approximately 29.3% [5]. According to the sample size estimate formula for the overall incidence of malnutrition in cross-sectional study (n = zα/2·p(1-p)/ δ2; α = 0.05, permissible error δ = 0.03), 451 patients is enough. None patients was lost during this cross-sectional study.
Ethics
The nutritionDay audit was approved by the Ethical Committee of the Medical University of Vienna (EK407/2005) [11] and Chinese host hospital (Jinling hospital, code center number 1103) (2016NZKY-020-01). All the participants were volunteers and signed an informed consent before the audit. Hospitals and units were labeled with a numeric code, and participants were recorded with the initials of their name to protect patients’ privacy.
Definitions
According to ESPEN consensus statement, individuals with a body mass index (BMI) <18.5 kg/m2 or unintentional weight loss (mandatory) >5% of habitual weight over 3 months are diagnosed with malnutrition [12]. Besides, patients diagnosed with malnutrition via nutritional screening or assessment tools were also included.
Major lesion types was confirmed mainly according to the primary discharge diagnosis or the primary admitting diagnosis for patients still in hospital.
The 30-day outcome status was assessed with the following options: death, still in hospital, transferred to another medical center, discharged home and rehabilitation. For further analysis, the overall 30-day outcome was dichotomized into 2 categories: favorable and poor outcome. The favorable outcome was defined as home discharge without re-admission, or rehabilitation. The rest were defined as poor outcome.
Statistical analysis
All statistical analyses were performed using the Statistical Package for Social Sciences version 20.0 (SPSS Inc., Chicago, IL, USA). Data was reported as mean ± standard deviations (SD) for normally distributed variables. The Cox proportional hazards regression model was used for confirming the independent predictors for LOS. Odds ratios (OR) were described with 95% confidence intervals (CI). Multivariate linear regression models were used to identify the independent factors for malnutrition via a step-forward method. For all tests, p<0.05 was considered statistically significant.
Results
Basic demographic characteristics of hospitalized patients
The details of patients’ basic characteristics are shown in Table 1. A total of 781 hospitalized patients in 8 kinds of departments from 9 hospitals were enrolled in this report. Most of them were patients from the department of general surgery (45.7%), and gastroenterology and hepatology (internal medicine) (18.6%). The major lesion types [13] are mainly concentrated on cancer (n = 296, 37.9%), digestive organs (264, 33.8%) and neurological diseases (97, 12.4%). Nearly half of patients (45.5%) received operation after admission.
Table 1. Basic characteristics of hospitalized patients.
| Characteristic | No. of Patients (Mean±SD) | No. of Patients (%) |
|---|---|---|
| Hospital | 781 | |
| Jinling Hospital | 336 (43.0%) | |
| Peking Union Medical College Hospital | 111 (14.2%) | |
| Second Affiliated Hospital of Zhejiang University | 121 (15.5%) | |
| People Liberation Army General Hospital of China | 13 (1.7%) | |
| First Affiliated Hospital of Xi’an Jiaotong University | 81 (10.4%) | |
| First Affiliated Hospital of Guangxi Medical University | 30 (3.8%) | |
| Affiliated Hospital of Qingdao University | 34 (4.4%) | |
| First Affiliated Hospital of Zhejiang University | 23 (2.9%) | |
| National Cancer Center/Cancer hospital | 32 (4.1%) | |
| Unit | 781 | |
| General surgery | 357 (45.7%) | |
| Cardiothoracic surgery | 41 (5.2%) | |
| Neurosurgery | 42 (5.4%) | |
| Gastroenterology and hepatology | 145 (18.6%) | |
| Oncology | 76 (9.7%) | |
| Neurology | 63 (8.1%) | |
| Nephrology | 44 (5.6%) | |
| Geriatrics | 13 (1.7%) | |
| Sex | 780 | |
| Male | 469 (60.1%) | |
| Female | 311 (39.9%) | |
| Age, years | 781 (55.4±16.2) | |
| ≤65 years | 559 (71.6%) | |
| >65 years | 222 (28.4%) | |
| Weight, kg | 781 (63.2±12.5) | |
| Height, cm | 781 (165.9±8.3) | |
| BMI, kg/m2 | 781 (22.9±3.7) | |
| <18.5 | 95 (12.2%) | |
| 18.5–25 | 472 (60.4%) | |
| >25 | 214 (27.4%) | |
| Major lesion types | 781 | |
| Cancer | 296 (37.9%) | |
| Neurological disease | 97 (12.4%) | |
| Digestive disease | 264 (33.8%) | |
| Endocrine/nutritional/metabolic disease | 13 (1.7%) | |
| Cardiovascular disease | 16 (2.0%) | |
| Respiratory disease | 15 (1.9%) | |
| Genitourinary disease | 40 (5.1%) | |
| Others | 40 (5.1%) | |
| Operation after admission | 739 | |
| Yes, elective operation | 324 (43.8%) | |
| Yes, emergency operation | 12 (1.6%) | |
| No | 403 (54.5%) | |
| Ever stayed in ICU | 756 | |
| Yes | 127 (16.8%) | |
| No | 629 (83.2%) | |
| End-stage disease | 781 | |
| Yes | 27 (3.5%) | |
| No | 650 (83.2%) | |
| I don’t know | 104 (13.3%) | |
| Motility | 781 | |
| Walk without assistance | 609 (78.0%) | |
| Walk with assistance | 108 (13.8%) | |
| Bedridden | 64 (8.2%) | |
| Self-rated health | 781 | |
| Very good | 52 (6.7%) | |
| Good | 299 (38.3%) | |
| Fair | 342 (43.8%) | |
| Poor | 77 (9.9%) | |
| Very poor | 11 (1.4%) | |
| No. of drugs before admission/day | 781 | |
| 0 | 277 (35.5%) | |
| 1–2 | 254 (32.5%) | |
| 3–5 | 179 (22.9%) | |
| >5 | 42 (5.4%) | |
| I don’t know | 29 (3.7%) | |
| Medical insurance | 753 | |
| Yes, private insurance only | 33 (4.4%) | |
| Yes, public insurance only | 546 (72.5%) | |
| Yes, both | 42 (5.6%) | |
| No | 104 (13.8%) | |
| I prefer not to answer | 28 (3.7%) | |
The mean age was 55.4 years old, and there into, 222 (28.4%) patients were elderly [14]. The mean BMI was 22.9 kg/m2. According to the Global Health Organization guidelines for the BMI classification, 95 patients (12.2%) were underweight (<18.5 kg/m2). The majority of patients (78.0%) could walk without assistance. About 9.9% of the patients reported poor feeling and 1.4% of the patients reported very poor feeling [15]. Almost 90% of hospitalized patients had medical insurance in China.
Nutrition related characteristics
Of all participants, the malnutrition rate was 29.6%, and higher in the department of general surgery (38.4%) and the department of gastroenterology and hepatology (34.5%). The prevalence of malnutrition by departments was detailed in Fig 1.
Fig 1. Prevalence of malnutrition by departments in Chinese hospitals.
344 patients (44%) received nutritional support, and among these, parenteral nutrition (PN) was the most commonly used method. 334 patients (42.8%) experienced weight loss within the last 3 months, and about 2/3 of these patients lost weight unintentionally. 774 patients provided information on their food intake last week. About 24.8% of the patients ate less than normal last week. On nutritionDay, about 68.7% of the patients did not eat full lunch or dinner and 38.7% patients ate nothing. The median LOS among the 350 hospitalized patients was 13 days (not showed in Table 2), ranging from 1 to 157 days. Patients’ nutritional characteristics are detailed in Table 2.
Table 2. Nutritional characteristics of hospitalized patients.
| Characteristic | No. of Patients (range) | No. of Patients (%) |
|---|---|---|
| Malnutrition | 781 | |
| Yes | 231 (29.6%) | |
| No | 550 (70.4%) | |
| Nutritional support | 781 | |
| Yes | 344 (44.0%) | |
| No | 437 (56.0%) | |
| Nutritional support form | 781 | |
| ONS | 34 (4.4%) | |
| EN | 40 (5.1%) | |
| PN | 144 (18.4%) | |
| Multi-forms | 126 (16.1%) | |
| None | 437 (56.0%) | |
| Weight loss within last 3 months | 781 | |
| Yes, unintentionally | 222 (28.4%) | |
| Yes, intentionally | 112 (14.3%) | |
| Stable weight | 343 (43.9%) | |
| No, weight gain | 46 (5.9%) | |
| I don’t know | 58 (7.4%) | |
| Food intake last week | 774 | |
| More than normal | 17 (2.2%) | |
| Normal | 565 (73.0%) | |
| About 3/4 of normal | 57 (7.4%) | |
| About half of normal | 67 (8.7%) | |
| About a quarter to nearly nothing | 68 (8.8%) | |
| Proportion of lunch/dinner eaten on nutritionDay | 780 | |
| About all | 244 (31.3%) | |
| 1/2 | 144 (18.5%) | |
| 1/4 | 90 (11.5%) | |
| Nothing | 302 (38.7%) | |
| LOS, days | 350 (1–157) |
ONS, oral nutritional supplementation; EN, enteral nutrition; PN, parenteral nutrition; LOS, length of stay
Inappropriate nutritional therapy in Chinese hospitals
Of all 781 hospitalized patients, 231 patients (29.6%) were diagnosed with malnutrition, 94 patients (12.0%) were at nutrition risk according to nutrition risk screening (NRS 2002) [16], and 456 patients (58.4%) were well nourished. According to guidelines patients at nutritional risk or diagnosed with malnutrition should receive a nutritional care plan and these patients may benefit from the nutritional therapy [16]. However, among 325 patients at nutritional risk or already diagnosed with malnutrition, 136 patients (41.8%) did not receive any form of nutritional support. Among 456 well-nourished patients, 155 patients (34.0%) received improper nutritional support. These details are shown in Fig 2.
Fig 2. Nutritional therapy in Chinese hospitals.
Association between malnutrition and poor 30-day outcome
The relationship between malnutrition and the 30-day outcome was shown in Fig 3. Compared to well-nourished patients, patients with malnutrition presented similar mortality (0.4% vs. 0.0%, p = 0.123), longer hospital stay rate (9.1% vs. 2.7%, p<0.001) and higher transfer rate (8.2% vs. 3.1%, p = 0.002), lower discharge rate (43.7% vs. 57.6%, p<0.001) and similar rehabilitation rate (38.5% vs. 36.5%, p = 0.601). According to overall 30-day outcome, patients with malnutrition were more likely to achieve poor outcome compared to well-nourished patients (29.4% vs. 18.5%, p<0.001).
Fig 3. Relationship between nutritional status and outcomes in Chinese hospitalized patients.
Overall 30-day outcomes: favorable, defined as rehabilitation or home discharge without re-admission; poor, defined as died, still in hospital, transferred to another medical center or home discharge with re-admission within 30 days.
Association between nutritional support and 30-day outcome
The relationship between nutritional support and 30-day outcome was shown in Fig 4. Patients with nutritional support were more likely to achieve poor outcome compared to patients without nutritional support (26.2% vs. 18.3%, p = 0.008). Nutritional support slightly improved the overall 30-day outcomes for patients with nutrition risk or malnutrition (73.0% vs. 69.1%, p = 0.443), whereas associated with poor overall 30-day outcomes in well-nourished patients (25.2% vs. 12.6%, p<0.001).
Fig 4. Relationship between nutritional support and overall 30-day outcomes in Chinese hospitalized patients.
Overall 30-day outcomes: favorable, defined as rehabilitation or home discharge without re-admission; poor, defined as died, still in hospital, transferred to another medical center or home discharge with re-admission within 30 days.
Risk factors associated with the length of hospital stay
Results are presented in detail in Table 3. Patients with malnutrition had longer LOS compared to well-nourished patients (p = 0.019). Besides, significant difference of LOS was also found among patients with different BMI classifications (p = 0.038), different major lesion types (p = 0.032), ever stayed in ICU or not (p<0.001), different motility groups (p = 0.021), nutritional support or not (p<0.001) and depending on the proportion of lunch/dinner eaten on nutritionDay (p = 0.016). Then, all variables above were enrolled in a step-forward logistic regression approach of Cox proportional hazards regression models. Our results showed ever stayed in ICU (p<0.001) and nutritional support (p<0.001) were independent factors of prolonged LOS of hospitalized patients.
Table 3. Risk factors for LOS in Jinling hospital and National Cancer Center/Cancer hospital.
| Characteristic | LOS, days | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|---|
| Median (range) | OR (95% CI) | p | OR (95% CI) | p | |
| Sex | 0.534 | ||||
| Male | 12 (1–157) | 1 | |||
| Female | 14 (1–78) | 1.071 (0.863–1.329) | |||
| Age | 0.244 | ||||
| ≤65 years | 13 (1–157) | 1 | |||
| >65 years | 12 (2–56) | 1.157 (0.905–1.478) | |||
| BMI, kg/m2 | 0.038 | * | |||
| <18.5 | 19 (1–63) | 1 | |||
| 18.5–25 | 12 (1–157) | 1.496 (1.049–2.135) | |||
| >25 | 11 (2–99) | 1.637 (1.120–2.392) | |||
| Major lesion types | 0.032 | * | |||
| Cancer | 14 (2–78) | 1 | |||
| Neurological disease | 11 (1–94) | 1.295 (0.981–1.711) | |||
| Digestive disease | 15 (1–78) | 0.914 (0.677–1.235) | |||
| Endocrine/nutritional/metabolic disease | 8 (7–17) | 1.811 (0.574–5.715) | |||
| Cardiovascular disease | 18 (5–33) | 0.900 (0.516–1.570) | |||
| Respiratory disease | 11 (2–99) | 0.837 (0.455–1.540) | |||
| Genitourinary disease | 9 (6–35) | 1.468 (1.018–2.117) | |||
| Others | 14.5 (8–157) | 0.469 (0.216–1.018) | |||
| Ever stayed in ICU | <0.001 | <0.001 | |||
| Yes | 15 (5–157) | 1 | 1 | ||
| No | 11 (1–78) | 1.809 (1.397–2.344) | 1.805 (1.430–2.293) | ||
| End-stage disease | 0.992 | ||||
| Yes | 13.5 (1–94) | 1 | |||
| No | 13 (1–157) | 1.023 (0.615–1.700) | |||
| I don’t know | 12 (2–78) | 1.009 (0.589–1.729) | |||
| Motility | 0.021 | * | |||
| Walk without assistance | 11 (1–78) | 1.655 (1.102–2.487) | |||
| Walk with assistance | 14 (4–99) | 1.289 (0.808–2.056) | |||
| Bedridden | 15 (1–157) | 1 | |||
| Self-rated health | 0.442 | ||||
| Very good | 12 (4–43) | 1.493 (0.531–4.194) | |||
| Good | 13 (1–53) | 1.350 (0.553–3.297) | |||
| Fair | 12 (1–157) | 1.150 (0.470–2.813) | |||
| Poor | 12 (2–33) | 1.530 (0.600–3.902) | |||
| Very poor | 18 (14–22) | 1 | |||
| Malnutrition | 0.019 | * | |||
| Yes | 16 (1–63) | 1 | |||
| No | 11 (1–157) | 1.362 (1.052–1.764) | |||
| Nutritional support | <0.001 | <0.001 | |||
| Yes | 16 (1–157) | 1 | 1 | ||
| No | 11 (1–94) | 1.727 (1.375–2.169) | 1.808 (1.426–2.291) | ||
| Weight loss within last 3 months | 0.426 | ||||
| Yes, unintentionally | 12 (1–63) | 1 | |||
| Yes, intentionally | 16 (4–78) | 0.764 (0.532–1098) | |||
| Stable weight | 12 (1–157) | 1.033 (0.789–1.353) | |||
| No, weight gain | 14 (2–44) | 0.882 (0.544–1.428) | |||
| I don’t know | 12 (4–43) | 1.069 (0.723–1.581) | |||
| Food intake last week | 0.314 | ||||
| More than normal | 9 (7–31) | 1.626 (0.693–3.812) | |||
| Normal | 12 (1–157) | 1.330 (0.859–2.060) | |||
| About 3/4 of normal | 14 (2–78) | 1.025 (0.587–1.789) | |||
| About half of normal | 15 (3–56) | 1.042 (0.607–1.788) | |||
| About a quarter to nearly nothing | 18.5 (3–38) | 1 | |||
| Proportion of lunch/dinner eaten on nutritionDay | 0.016 | * | |||
| About all | 10 (1–94) | 1.548 (1.183–2.026) | |||
| 1/2 | 11 (2–78) | 1.319 (0.976–1.783) | |||
| 1/4 | 14 (5–42) | 1.214 (0.842–1.751) | |||
| Nothing | 14 (1–157) | 1 | |||
*Forward LR: not in the final step
Relationship between malnutrition and patients’ characteristics
The univariate analysis showed that the rate of malnutrition was significantly different between sexes (p = 0.022), major lesion types (p<0.001), motility (p = 0.030), self-rated health (p<0.001), and food intake last week (p<0.001). There was no statistical relationship between the malnutrition rate and age, ICU stay, and disease stage groups. According to multivariate analysis, the major lesion types (p<0.001), self-rated health (p = 0.003), and food intake last week (p<0.001) were independent risk factors of malnutrition in hospitalized patients in China. The results are presented in detail in Table 4.
Table 4. Relationship between malnutrition and patients’ characteristics.
| Characteristic | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|
| Malnutrition | Well nourtished | p | OR (95% CI) | p | |
| Sex | 0.022 | * | |||
| Male | 124 (26.4%) | 345 (73.6%) | |||
| Female | 106 (34.1%) | 205 (65.9%) | |||
| Age | 0.451 | * | |||
| ≤65 years | 161 (28.8%) | 398 (71.2%) | |||
| >65 years | 70 (31.5%) | 152 (68.5%) | |||
| Major lesion types | <0.001 | <0.001 | |||
| Cancer | 102 (34.5%) | 194 (65.5%) | 1 | ||
| Neurological disease | 7 (7.2%) | 90 (92.8%) | 0.145 (0.062–0.338) | ||
| Digestive disease | 100 (37.9%) | 164 (62.1%) | 1.069 (0.736–1.553) | ||
| Endocrine/nutritional/metabolic disease | 2 (15.4%) | 11 (84.6%) | 0.385 (0.080–1.846) | ||
| Cardiovascular disease | 1 (6.2%) | 15 (93.8%) | 0.121 (0.015–0.962) | ||
| Respiratory disease | 2 (13.3%) | 13 (86.7%) | 0.466 (0.094–2.309) | ||
| Genitourinary disease | 6 (15.0%) | 34 (85.0%) | 0.375 (0.136–1.040) | ||
| Others | 11 (27.5%) | 29 (72.5%) | 0.832 (0.382–1.814) | ||
| Ever stayed in ICU | 0.826 | * | |||
| Yes | 187 (29.7%) | 442 (70.3%) | |||
| No | 39 (30.7%) | 88 (69.3%) | |||
| End-stage disease | 0.684 | * | |||
| Yes | 10 (37.0%) | 17 (63.0%) | |||
| No | 191 (29.4%) | 459 (70.6%) | |||
| I don’t know | 30 (28.8%) | 74 (71.2%) | |||
| Motility | 0.03 | * | |||
| Walk without assistance | 170 (27.9%) | 439 (72.1%) | |||
| Walk with assistance | 33 (30.6%) | 75 (69.4%) | |||
| Bedridden | 28 (43.8%) | 36 (56.2%) | |||
| Self-rated health | <0.001 | 0.003 | |||
| Very good | 9 (17.3%) | 43 (82.7%) | 1 | ||
| Good | 69 (23.1%) | 230 (76.9%) | 2.129 (0.894–5.067) | ||
| Fair | 114 (33.3%) | 228 (66.7%) | 2.966 (1.256–7.004) | ||
| Poor | 32 (41.6%) | 45 (58.4%) | 4.500 (1.701–11.906) | ||
| Very poor | 7 (63.6%) | 4 (36.4%) | 12.353 (2.424–62.956) | ||
| Food intake last week | <0.001 | <0.001 | |||
| More than normal | 4 (23.5%) | 13 (76.5%) | 1 | ||
| Normal | 129 (22.8%) | 436 (77.2%) | 0.658 (0.200–2.163) | ||
| About 3/4 of normal | 21 (36.8%) | 36 (63.2%) | 1.060 (0.284–3.959) | ||
| About half of normal | 32 (47.8%) | 35 (52.2%) | 1.720 (0.475–6.230) | ||
| About a quarter to nearly nothing | 41 (60.3%) | 27 (39.7%) | 2.077 (0.569–7.587) | ||
Univariate analysis: chi-square test; Multivariate analysis: binary logistic regression analysis
*Forward LR: not in the final step
Discussion
The present study is the first nutritional survey among hospitalized patients during the past ten years that covers north, east, south, and northwest areas of China that provides a collection of current data reflecting the situation of clinical nutrition in China. The results showed that malnutrition is still a common and severe problem affecting patients’ outcome in Chinese hospitals. There were numerous nonstandard nutritional therapies in contrast to implemented guidelines. Moreover, major lesion types, self-rated health, food intake last week were risk factors of malnutrition.
The nutritionDay audit is the largest and most authoritative ongoing nutritional survey among hospitalized patients in the world aiming to fight malnutrition and to ameliorate nonstandard nutritional care in health care institutions. Cumulative findings reported consistently that nutritional characteristics were related to hospitalized patients’ health and outcomes but they have been always neglected during clinical practice [2,8,17]. Therefore, malnutrition is still very common in hospital settings, and it has been well documented in previous studies that 10%-50% hospitalized patients suffer from malnutrition [6–8,18]. One probable reason of this variation may be geographic distribution of the population that malnutrition rate varies greatly in different countries despite sharing the same criteria [5,18–20].
In the present report, the malnutrition rate in Chinese hospitals was 29.6%, similar to previous reports from 3 hospitals (29.3%) in China [5], Germany (27.4%) [18] and other European countries (27%) [2]. However, the malnutrition rate between the 9 Chinese hospitals studied here varied considerably. This was, at least in part, due to 2 reasons: first, different diagnostic accuracy (nutritional screening tools, awareness of malnutrition), and second, uneven efficacy of nutritional care. Moreover, the malnutrition rate varied significantly among different departments. It was not surprising that the malnutrition rate was higher in the department of general surgery and the department of gastroenterology and hepatology because surgery and the dysfunction of digestive system may result in metabolic disorders and dietary changes [8]. However, the low malnutrition rate observed in geriatrics is surprising [21]. The small sample size (only 13 patients) may explain this result; nonetheless, we hypothesized that elderly patients were more likely to suffer from malnutrition because of poor physical and dietary conditions. Accordingly, our results showed that patients older than 65 years old had higher malnutrition rate.
According to guidelines, patients at nutritional risk or already diagnosed with malnutrition should receive a nutrition care plan and these patients can benefit from nutritional therapy [16,22]. Consistently, nutritional therapy in the present study was compared between two classifications of hospitalized patients: at risk of malnutrition or diagnosed with malnutrition and well-nourished, rather than malnutrition and non-malnutrition as in previous studies [5,23]. Obviously, over 40% of patients at nutritional risk or already coded with malnutrition in need of nutritional intervention were neglected, even in those who could not eat enough meal. Then, about one third of well-nourished patients who had no nutritional requirements unexpectedly received at least one form of nutritional support in Chinese hospitals. Additionally, PN remains the overwhelming nutritional support form, though guidelines recommend early enteral nutrition (EN) in most cases [22]. These illegal phenomena demonstrate the lack of knowledge and awareness on malnutrition among Chinese hospital staff, and therefore nonstandard nutritional support against guidelines is prevalent in Chinese hospitals.
The close relationship between poor outcomes and malnutrition has been well established in many conditions, such as increased mortality [24], prolonged LOS [5,25], and increased readmission [4,25]. Consistent with these results, patients with malnutrition showed higher rate of mortality, longer hospital stay and higher transfer rate, also showed lower discharge rate compared to well-nourished patients in China hospitals. It was not surprising that patients who ate less on nutritionDay had longer LOS in our study as well. Consistent with that, food intake reduction is always associated with longer LOS and higher mortality [26]. It is noteworthy that patients with nutritional support also had significantly longer LOS than those without support, in accordance with a previous study [5]. However, we believe that this relationship is an artifact due to the bias stemming from the close relationship between malnutrition and nutritional support. Moreover, malnutrition is undeniably associated with increased cost due to longer hospital stay and more intensive treatment [27]. Fortunately, the coverage of medical insurance reaches up to nearly 90% in China.
Identification of predisposing factors for malnutrition may contribute to identify patients at nutritional risk [2,28]. Traditionally, malnutrition is mostly caused by insufficient energy, protein, or other essential nutrients intake for a prolonged period of time. However, evidence showed that hospitalized patients often received less nutritional care than expected because of lack of training and awareness of the hospital staff [29]. Consistently, the reduction of food intake last week consisted independent factors for malnutrition among Chinese hospitalized patients. Besides, a substantial number of studies indicates that malnutrition is more frequent in patients with cancer [30], digestive disease [31], and nervous system disease [32]. Our results showed that mainly patients with cancer and digestive disease, but not those with neurological disease, had high risk for malnutrition. The latter one is, at least in part, due to small sample size. Moreover, self-rated health was another risk factor for malnutrition in this work, similar to a previous study [15]. The report of this factor is advantageous because it is a simple and efficient way to reflect the physical and psychological well-being of patients. However, it is subjective and therefore prone to bias. However, inconsistent with previous knowledge, there was no significant relationship between malnutrition and age groups in our study. We speculate that the probable explanation may be that: firstly, the age-distribution of patients was not even enough in our study; secondly, elderly patients with malnutrition tended not to actively participate in the investigation because of their weakness and low literacy ability.
We report some limitations of this study. First, the innate limitation of the day-cross snapshot survey is prone to omit some potential long-term confounders. Second, the sample size may not enough to be representative of the entire Chinese hospitalized population. Third, hospitals and units sample size varies extremely and this may lead to a statistical bias. Four, the heterogeneity of disease and variable severity of disease in the same unit are neglected. Last, hospitals and departments with high malnutrition rate or interested in clinical nutrition are more likely to participate in this study, which may lead to a data bias.
Conclusions
In summary, the prevalence of malnutrition is about 30% and associated with poor 30-day outcomes in Chinese hospitals. Inappropriate nutritional therapy is a common and urgent problem that needs to be solved. Specific nutritional interventions should be considered for patients with poor self-rated health, critical lesion types, and recent food intake reduction. Moreover, further studies should focus on the risk factors of food intake loss and on identifying efficient methods for protecting patients from malnutrition.
Supporting information
(PDF)
(PDF)
(PDF)
Acknowledgments
The study was relied on the nutritionDay audit that hosted by the Medical University of Vienna, the European Society for Clinical Nutrition and Metabolism, and the Austrian Society for Clinical Nutrition.
Abbreviations
- BMI
body mass index
- CI
confidence intervals
- EN
enteral nutrition
- ESPEN
European Society for Clinical Nutrition and Metabolism
- ICU
intensive care units
- LOS
length of hospital stay
- OR
odds ratios
- PN
parenteral nutrition
- SD
standard deviation
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This project was supported by the Research Special Fund for Public Welfare Industry of Health from National Health and Family Planning Commission of China (201502022), Nanjing University Innovation and Creative Program for PhD candidate (CXCY17-28) and Natural Science Foundation of Jiangsu Province (BK201706022).
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Associated Data
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Supplementary Materials
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Data Availability Statement
All relevant data are within the paper and its Supporting Information files.